Top IRI DMaaS Alternatives

Satori is an innovative Data Security Platform (DSP) designed to facilitate self-service data access and analytics for businesses that rely heavily on data. Users of Satori benefit from a dedicated personal data portal, where they can effortlessly view and access all available datasets, resulting in a significant reduction in the time it takes for data consumers to obtain data from weeks to mere seconds. The platform smartly implements the necessary security and access policies, which helps to minimize the need for manual data engineering tasks. Through a single, centralized console, Satori effectively manages various aspects such as access control, permissions, security measures, and compliance regulations. Additionally, it continuously monitors and classifies sensitive information across all types of data storage—including databases, data lakes, and data warehouses—while dynamically tracking how data is utilized and enforcing applicable security policies. As a result, Satori empowers organizations to scale their data usage throughout the enterprise, all while ensuring adherence to stringent data security and compliance standards, fostering a culture of data-driven decision-making.

Transform, create, segment, virtualize, and streamline your test data using the DATPROF Test Data Management Suite. Our innovative solution effectively manages Personally Identifiable Information and accommodates excessively large databases. Say goodbye to prolonged waiting periods for refreshing test data, ensuring a more efficient workflow for developers and testers alike. Experience a new era of agility in your testing processes.

Titaniam offers a comprehensive suite of data security controls tailored for enterprises and SaaS providers within a single solution. This encompasses sophisticated features like encrypted search and analytics, alongside conventional measures such as tokenization, data masking, various encryption methods, and anonymization techniques. Additionally, Titaniam provides a Bring Your Own Key (BYOK) and Hold Your Own Key (HYOK) option, allowing data owners to maintain control over their data's security. In the event of a security breach, Titaniam alleviates regulatory burdens by supplying proof that sensitive data remains encrypted. The platform's modular design enables integration to support numerous architectures spanning multiple cloud environments, on-premises setups, and hybrid systems. By consolidating the functions of over three separate solutions, Titaniam stands out as both a highly effective and cost-efficient option in the market. Garnering recognition from Gartner across various categories in four distinct markets—Data Security, Data Privacy, Enterprise Key Management, and as a Cool Vendor for 2022—underscores its industry impact. Furthermore, Titaniam has been acknowledged as a Distinguished Vendor by TAG Cyber and named an Intellyx Digital Innovator for 2022. In addition to these accolades, the company secured the prestigious SINET16 Security Innovator Award and triumphed in four categories at the Global Infosec Awards during RSAC2022, solidifying its reputation as a leading force in data security innovation. Such recognition reflects the company's commitment to excellence and leadership in the rapidly evolving cybersecurity landscape.

Immuta's Data Access Platform is designed to provide data teams with both secure and efficient access to their data. Organizations are increasingly facing intricate data policies due to the ever-evolving landscape of regulations surrounding data management. Immuta enhances the capabilities of data teams by automating the identification and categorization of both new and existing datasets, which accelerates the realization of value; it also orchestrates the application of data policies through Policy-as-Code (PaC), data masking, and Privacy Enhancing Technologies (PETs) so that both technical and business stakeholders can manage and protect data effectively; additionally, it enables the automated monitoring and auditing of user actions and policy compliance to ensure verifiable adherence to regulations. The platform seamlessly integrates with leading cloud data solutions like Snowflake, Databricks, Starburst, Trino, Amazon Redshift, Google BigQuery, and Azure Synapse. Our platform ensures that data access is secured transparently without compromising performance levels. With Immuta, data teams can significantly enhance their data access speed by up to 100 times, reduce the number of necessary policies by 75 times, and meet compliance objectives reliably, all while fostering a culture of data stewardship and security within their organizations.

IRI Voracity is a comprehensive software platform designed for efficient, cost-effective, and user-friendly management of the entire data lifecycle. This platform accelerates and integrates essential processes such as data discovery, governance, migration, analytics, and integration within a unified interface based on Eclipse™. By merging various functionalities and offering a broad spectrum of job design and execution alternatives, Voracity effectively reduces the complexities, costs, and risks linked to conventional megavendor ETL solutions, fragmented Apache tools, and niche software applications. With its unique capabilities, Voracity facilitates a wide array of data operations, including: * profiling and classification * searching and risk-scoring * integration and federation * migration and replication * cleansing and enrichment * validation and unification * masking and encryption * reporting and wrangling * subsetting and testing Moreover, Voracity is versatile in deployment, capable of functioning on-premise or in the cloud, across physical or virtual environments, and its runtimes can be containerized or accessed by real-time applications and batch processes, ensuring flexibility for diverse user needs. This adaptability makes Voracity an invaluable tool for organizations looking to streamline their data management strategies effectively.

The acclaimed security software products found in the IRI Data Protector suite and the IRI Voracity data management platform are designed to classify, locate, and mask personally identifiable information (PII) along with other "data at risk" across virtually every data source and silo within enterprises, whether on-premises or in the cloud. Tools such as FieldShield, DarkShield, and CellShield EE within the IRI data masking suite are instrumental in ensuring compliance with various regulations including CCPA, CIPSEA, FERPA, HIPAA/HITECH, PCI DSS, and SOC2 in the United States, as well as global data privacy laws such as GDPR, KVKK, LGPD, LOPD, PDPA, PIPEDA, and POPI, thereby enabling organizations to demonstrate their adherence to legal requirements. Additionally, the compatible tools within Voracity, like IRI RowGen, provide capabilities to generate synthetic test data from scratch while also creating referentially accurate and optionally masked database subsets. For organizations seeking assistance, IRI and its authorized partners worldwide offer expertise in implementing tailored compliance and breach mitigation solutions utilizing these advanced technologies. By leveraging these solutions, businesses can not only protect sensitive information but also enhance their overall data management strategies to meet evolving regulatory demands.

IRI FieldShield® offers an effective and cost-efficient solution for the discovery and de-identification of sensitive data, such as PII, PHI, and PAN, across both structured and semi-structured data sources. With its user-friendly interface built on an Eclipse-based design platform, FieldShield allows users to perform classification, profiling, scanning, and static masking of data at rest. Additionally, the FieldShield SDK or a proxy-based application can be utilized for dynamic data masking, ensuring the security of data in motion. Typically, the process for masking relational databases and various flat file formats, including CSV, Excel, LDIF, and COBOL, involves a centralized classification system that enables global searches and automated masking techniques. This is achieved through methods like encryption, pseudonymization, and redaction, all designed to maintain realism and referential integrity in both production and testing environments. FieldShield can be employed to create sanitized test data, mitigate the impact of data breaches, or ensure compliance with regulations such as GDPR, HIPAA, PCI, PDPA, and PCI-DSS, among others. Users can perform audits through both machine-readable and human-readable search reports, job logs, and re-identification risk assessments. Furthermore, it offers the flexibility to mask data during the mapping process, and its capabilities can also be integrated into various IRI Voracity ETL functions, including federation, migration, replication, subsetting, and analytical operations. For database clones, FieldShield can be executed in conjunction with platforms like Windocks, Actifio, or Commvault, and it can even be triggered from CI/CD pipelines and applications, ensuring versatility in data management practices.

Adaptive is a highly advanced data security solution designed to protect sensitive information from potential exposure by both humans and automated systems. It features a secure control plane that facilitates data protection and access without the need for complex network reconfiguration, functioning seamlessly in both cloud and on-premises environments. This innovative platform enables organizations to provide privileged access to data resources without requiring the sharing of actual credentials, significantly enhancing their overall security posture. Additionally, it supports just-in-time access to a diverse range of data sources, including databases, cloud infrastructure, data warehouses, and web services, ensuring that users can efficiently retrieve necessary information. Furthermore, Adaptive simplifies interactions involving non-human data by integrating third-party tools or ETL pipelines through a unified interface, which safeguards the confidentiality of data source credentials. To mitigate the risk of data exposure, the platform employs data masking and tokenization for users lacking privileged access, all while preserving existing access workflows. It also guarantees comprehensive auditing through identity-based audit trails that cover all resources, enabling organizations to effectively monitor and track access activities. By implementing these features, Adaptive not only fortifies data security but also enhances management capabilities within the increasingly complex landscape of digital ecosystems, ultimately fostering a more secure environment for data handling.

Contemporary businesses face significant consequences if they neglect to adhere to the increasing privacy regulations mandated by both authorities and the public. To maintain a competitive edge, companies must consistently implement cutting-edge algorithms designed to protect sensitive data, including Personally Identifiable Information (PII) and Protected Health Information (PHI). HushHush is at the forefront of privacy protection with its innovative tool for discovering and anonymizing PII data, known for terms like data de-identification, data masking, and obfuscation software. This solution aids organizations in identifying, categorizing, and anonymizing sensitive information, ensuring they meet compliance requirements for regulations such as GDPR, CCPA, HIPAA/HITECH, and GLBA. It provides a collection of rule-based atomic add-on components that enable users to create effective and secure data anonymization strategies. HushHush's offerings are pre-configured to efficiently anonymize both direct identifiers, including Social Security Numbers and credit card details, as well as indirect identifiers, using a set of fixed algorithms specifically designed for this task. With its multifaceted capabilities, HushHush not only bolsters data security but also strengthens clients' confidence in their privacy. Moreover, this commitment to privacy protection is essential for building long-lasting relationships in an increasingly data-conscious world.

Safeguarding sensitive information is crucial at all phases—be it on-site, in the cloud, or within large-scale data analytic frameworks. Voltage encryption serves as a powerful tool for ensuring data privacy, reducing the chances of data breaches, and increasing business value by allowing secure data usage. The implementation of strong data protection measures builds customer confidence and ensures compliance with global regulations like GDPR, CCPA, and HIPAA. Privacy legislation emphasizes the importance of techniques such as encryption, pseudonymization, and anonymization to protect personal data effectively. Voltage SecureData enables organizations to anonymize sensitive structured information while still permitting its secure application, thus supporting business expansion. It is vital to ensure that applications operate on secure data that flows smoothly across the organization, free from vulnerabilities, decryption needs, or adverse effects on performance. SecureData is designed to work with a diverse range of platforms and is capable of encrypting data across multiple programming languages. Moreover, the Structured Data Manager integrates SecureData, allowing businesses to efficiently and continuously safeguard their data throughout its entire lifecycle, starting from initial discovery to encryption. This all-encompassing strategy not only boosts security but also enhances the overall efficiency of data management practices, paving the way for more effective operational workflows. By prioritizing these measures, organizations can achieve a balance between data utilization and privacy protection.

Ensure comprehensive protection for your data with a strong, enterprise-grade security solution that integrates across multicloud, hybrid, and on-premises settings, catering to various data types. Strengthen security protocols across multiple platforms while effectively discovering and classifying structured, semi-structured, and unstructured data. Evaluate and rank data risks by taking into account the context of incidents and the possibility of adding new features. Simplify data management through a centralized service or dashboard that provides a cohesive overview. Protect against unauthorized data exposure and effectively prevent breaches. Streamline security, compliance, and governance processes related to data to make them more straightforward and efficient. Establish a unified view to gain insights into vulnerable data and users while actively managing a Zero Trust framework and enforcing applicable policies. Utilize automation and workflows to conserve both time and resources, ensuring compatibility with a diverse range of file shares and data repositories, including those in public, private, data center, and third-party cloud environments. Meet not only your present needs but also anticipate future integrations as your cloud use cases grow, thereby refining your overall data security strategy. Additionally, by adopting these strategies, your organization can greatly enhance its defense against various data-related risks and threats, reinforcing its overall cybersecurity posture.

Do not let worries about data privacy or security hinder your innovative initiatives fueled by analytics. Dataguise provides powerful protection for sensitive and personal information through flexible masking and encryption technologies, allowing you to fully leverage business value. With data sets ready for analysis delivered almost instantly, you can obtain more current insights and make educated decisions grounded in a thorough understanding of your data environment. Acknowledging the shifting and varied needs of clients, Dataguise has developed a robust ecosystem of carefully chosen partners to offer more extensive solutions, services, and expertise. This executive guide highlights strategies for protecting data privacy while simultaneously enhancing data value. When comparing different data discovery tools, it is evident that Dataguise boasts a longer track record, supports a broader range of data types and repositories, maintains lower false-positive rates, and performs large-scale data scans more efficiently. By opting for Dataguise, organizations can confidently utilize their data to inform decisions that align with their strategic goals, ultimately cultivating a culture of informed and deliberate decision-making. Furthermore, adopting such advanced solutions not only safeguards sensitive information but also empowers teams to innovate without fear of compromising data integrity.

Our platform empowers businesses to harness data for advanced analytics, machine learning, and AI, all while ensuring that customers, employees, and intellectual property remain secure. The Protegrity Data Protection Platform goes beyond mere data protection; it also identifies and classifies data while safeguarding it. To effectively protect data, one must first be aware of its existence. The platform initiates this process by categorizing data, enabling users to classify the types most frequently found in the public domain. After these classifications are set, machine learning algorithms come into play to locate the relevant data types. By integrating classification and discovery, the platform effectively pinpoints the data that requires protection. It secures data across various operational systems critical to business functions and offers privacy solutions such as tokenization, encryption, and other privacy-enhancing methods. Furthermore, the platform ensures ongoing compliance with regulations, making it an invaluable asset for organizations aiming to maintain data integrity and security.

In contrast to many conventional data management systems, PHEMI Health DataLab is designed with Privacy-by-Design principles integral to its foundation, rather than as an additional feature. This foundational approach offers significant benefits, including: It allows analysts to engage with data while adhering to strict privacy standards. It incorporates a vast and adaptable library of de-identification techniques that can conceal, mask, truncate, group, and anonymize data effectively. It facilitates the creation of both dataset-specific and system-wide pseudonyms, enabling the linking and sharing of information without the risk of data leaks. It gathers audit logs that detail not only modifications made to the PHEMI system but also patterns of data access. It automatically produces de-identification reports that are accessible to both humans and machines, ensuring compliance with enterprise governance risk management. Instead of having individual policies for each data access point, PHEMI provides the benefit of a unified policy that governs all access methods, including Spark, ODBC, REST, exports, and beyond, streamlining data governance in a comprehensive manner. This integrated approach not only enhances privacy protection but also fosters a culture of trust and accountability within the organization.

Thales has transformed the data security arena with its CipherTrust Data Security Platform, which streamlines data protection, accelerates compliance efforts, and supports secure transitions to the cloud. This cutting-edge platform is built on a modern micro-services architecture tailored for cloud settings and features vital components like Data Discovery and Classification, effectively amalgamating top capabilities from the Vormetric Data Security Platform, KeySecure, and its related connector products. By integrating data discovery, classification, protection, and advanced access controls with centralized key management, the CipherTrust Data Security Platform functions as a unified entity. As a result, organizations benefit from reduced resource allocation for data security operations, improved compliance outcomes, and a significant decrease in overall business risk. This platform serves as an all-encompassing suite of data-centric security solutions, enabling enterprises to efficiently oversee and manage their data security requirements through a single, cohesive interface. Furthermore, it not only ensures strong protection and compliance but also adapts to the rapidly changing demands of the digital world, positioning organizations to respond effectively to emerging threats and challenges.

The IT department can adopt sophisticated data masking strategies to limit access to confidential information, employing flexible masking rules that align with user authentication levels. By integrating systems for blocking access, conducting audits, and sending notifications to users, IT personnel, and external partners handling sensitive data, the organization can ensure compliance with its security protocols and relevant legal and industry privacy regulations. Furthermore, data-masking techniques can be customized to accommodate diverse regulatory or business requirements, thereby creating a secure environment for both personal and sensitive information. This strategy not only protects data but also supports initiatives in offshoring, outsourcing, and cloud computing. Moreover, large datasets can be safeguarded by implementing dynamic masking for sensitive information within Hadoop environments, which significantly improves overall data protection. Such proactive measures reinforce the robustness of the organization's data security framework, ultimately building trust among stakeholders. This comprehensive approach ensures that sensitive information remains shielded from unauthorized access while empowering the business to innovate and expand.

Ensure the core message, format, and precision remain intact while prioritizing confidentiality. Enhance data security by transforming and concealing sensitive details through the implementation of pseudonymization techniques that comply with privacy regulations and facilitate analytical needs. The transformed data retains its contextual relevance and referential integrity, rendering it appropriate for use in testing, analytics, or support applications. As a highly scalable and efficient data masking solution, Informatica Persistent Data Masking safeguards sensitive information such as credit card numbers, addresses, and phone contacts from unintended disclosure by producing realistic, anonymized datasets that can be securely shared both internally and externally. Moreover, this approach significantly reduces the risk of data breaches in nonproduction environments, improves the quality of test datasets, expedites development workflows, and ensures adherence to various data privacy standards and regulations. By incorporating such comprehensive data masking strategies, organizations not only secure sensitive information but also cultivate an environment of trust and security, which is essential for maintaining stakeholder confidence. Ultimately, the adoption of these advanced techniques plays a crucial role in promoting an organization's overall data governance framework.

Boost your privacy compliance and data security measures on Salesforce by leveraging a diverse array of products. The success of effective privacy programs is grounded in thorough data inventories and in-depth risk assessments. Unfortunately, numerous organizations struggle to recognize all their data sources and often find themselves hindered by outdated manual processes and spreadsheets. Our Personal Data Inventory solution is designed to automate and streamline Data Protection Impact Assessments (DPIA) and enterprise data inventory processes. This tool makes it easier for organizations to keep an up-to-date data inventory while conducting comprehensive risk evaluations. As the number of privacy rights requests continues to escalate, managing these requests through manual means can result in inconsistencies, errors, and an increased likelihood of non-compliance. Our Privacy Rights Automation solution facilitates self-service options and automates all tasks associated with privacy rights. By adopting this standardized and dependable solution, organizations can markedly decrease the risk of non-compliance while enhancing overall operational efficiency. Ultimately, investing in such innovative tools not only supports adherence to privacy regulations but also fosters greater customer trust and confidence in your organization, leading to long-term relationships.

Privacy1 infrastructure enhances transparency, ensures adherence to GDPR and CCPA regulations, and fosters trust in your enterprise. This solution protects data-focused organizations by significantly reducing the likelihood of data breaches and guarantees that personal information is only processed with proper authorization. Additionally, the service comes equipped with comprehensive features designed to help you fulfill data compliance obligations and uphold your organization's data security to the utmost standards. Ultimately, investing in such a robust framework is essential for maintaining customer confidence and regulatory integrity.

The AI-powered Intelligent Data Platform emerges as the most comprehensive and flexible solution available, distinguishing itself in the market. It empowers organizations to fully leverage their data, effectively tackling complex challenges along the way. This platform establishes a new standard for enterprise data management. By utilizing our exceptional products within a unified platform, you can tap into intelligent data to enhance your operational efficiency. Effortlessly connect with various data sources and grow your capabilities with confidence. Our extensive global infrastructure manages over 15 trillion cloud transactions each month, guaranteeing reliability and performance. Equip your business for the future with a holistic platform designed to deliver consistent data at scale for a range of data management needs. Our AI-driven framework supports numerous integration methods, allowing your organization to evolve and adjust at its own speed. Additionally, our solution is crafted to be modular, utilizing microservices and powered by APIs, which supports innovative approaches to data management. By embracing the adaptability and forward-thinking solutions our platform provides, your organization will maintain a competitive edge in an ever-changing data environment. This proactive stance toward data utilization will not only enhance operational efficiency but also foster long-term success.

Assure Compliance Monitoring is an extensive collection of Assure Security features that quickly identifies security and compliance issues by producing alerts and reports on activities within IBM i systems, changes in databases, and analyses of Db2 data. This collection includes two features that can operate independently of each other. Assure Monitoring and Reporting proficiently pulls crucial information from IBM i journal data, issuing alerts and reports about security incidents and compliance variances. Users have the flexibility to access system and database monitoring functions either separately or combined. Furthermore, there is a capability to send data directly to your enterprise SIEM solution, which allows for the integration of IBM i security oversight with your organization’s overall monitoring strategy. The Assure Db2 Data Monitor is noteworthy for its advanced ability to track access to sensitive Db2 data and can limit the visibility of certain records as needed. In conclusion, Assure Security offers top-tier capabilities for IBM i security, empowering organizations to fulfill cybersecurity regulatory obligations efficiently while protecting their valuable data assets. Additionally, these features are designed to adapt to the evolving landscape of cybersecurity threats, ensuring that organizations remain vigilant and prepared.

IRI CellShield® safeguards sensitive data within Microsoft Excel®, ensuring adherence to data privacy regulations. It offers options for reversible and non-reversible masking to protect your columns effectively. Regardless of the number of sheets involved, CellShield secures your data consistently. You can utilize various search methods to identify and report on personally identifiable information (PII) throughout your local area network. With CellShield, you can protect everything simultaneously. The user-friendly graphical interface simplifies the process of classifying and masking data. At its core, CellShield employs the award-winning IRI FieldShield technology designed for masking data in flat files and databases. Information concealed in one system can be accessed in another without difficulty. CellShield EE stands out as the only comprehensive professional package for data discovery, masking, and auditing tailored specifically for Excel versions 2010, 2016, 2019, and Office 365 workbooks on your LAN. This solution enhances security and extends capabilities beyond what a single password can offer by automating and integrating essential functions, making data protection more efficient and reliable. With CellShield, you gain confidence in your data privacy practices while streamlining your workflow.

Protect your files and database information from misuse while adhering to both industry norms and governmental guidelines by employing an all-inclusive range of integrated encryption tools. IBM Guardium Data Encryption provides a cohesive array of products that operate on a shared infrastructure. These adaptable solutions feature encryption, tokenization, data masking, and key management functionalities, which are vital for safeguarding and overseeing access to databases, files, and containers in hybrid multicloud settings, thereby securing assets across cloud, virtual, big data, and on-premises environments. By proficiently encrypting data in files and databases through methods such as tokenization, data masking, and key rotation, organizations can effectively comply with various regulations like GDPR, CCPA, PCI DSS, and HIPAA. In addition, the extensive features of Guardium Data Encryption—including data access audit logging and thorough key management—support organizations in fulfilling essential compliance demands, ensuring that sensitive information is consistently safeguarded. Implementing such strong encryption practices not only fortifies security but also fosters confidence among stakeholders, ultimately leading to a more reliable data management strategy. As organizations continue to evolve in the digital landscape, the need for comprehensive data protection solutions becomes increasingly critical.

Founded in 1986, DataVantage is a company headquartered in the United States that creates software called DataVantage. DataVantage offers training via documentation, live online, and in person sessions. DataVantage is a type of data management software. The DataVantage software product is SaaS software. DataVantage includes phone support and online support. Some competitors to DataVantage include Oracle Data Masking and Subsetting, Informatica Persistent Data Masking, and HushHush Data Masking.

BizDataX is an advanced solution for data masking that generates reliable test data sourced from actual production environments. It helps organizations comply with GDPR and similar laws by protecting customer identities while providing necessary data for development and testing purposes. By using anonymized data instead of real production data, the platform greatly reduces the risks associated with data exposure. The system prioritizes sound policy management, meets business requirements, manages sensitive data governance, and adheres to a variety of regulations. Users can oversee an inventory of databases, data sources, and tables, enabling them to identify where sensitive information is stored. Additionally, the platform streamlines the management of large customer databases and facilitates data sharing with online retailers and logistics partners. In the context of the strict regulations governing the handling of medical records, it becomes crucial for healthcare organizations to ensure compliance through effective data anonymization. BizDataX not only strengthens data security measures but also supports businesses in maintaining a high level of operational efficiency, making it a critical asset in today's data-driven landscape. As organizations increasingly face the challenges of data privacy, solutions like BizDataX will play an essential role in navigating these complexities.

Safeguarding your personal information is of utmost importance, and generating data that seems authentic for software development is equally essential. DOT Anonymizer offers an effective solution that not only masks your testing data but also preserves its consistency across different data sources and database management systems. The likelihood of data breaches increases significantly when personal or identifiable information is utilized in non-production settings such as development, testing, training, and business intelligence. With a rise in regulations globally, organizations find themselves under greater pressure to anonymize or pseudonymize sensitive information. This strategy enables teams to work with believable yet fictitious datasets while retaining the original format of the data. It is critical to manage all of your data sources effectively to ensure their ongoing usability. Furthermore, you can seamlessly call DOT Anonymizer functions directly from your applications, ensuring uniform anonymization across all database management systems and platforms. Maintaining relationships between tables is also essential to ensure that the data remains realistic and coherent. The tool is adept at anonymizing various database types and file formats, such as CSV, XML, JSON, and others. As the need for data protection escalates, employing a solution like DOT Anonymizer becomes increasingly vital for preserving the integrity and confidentiality of your sensitive information. In a world where data privacy is paramount, leveraging such tools is not just beneficial but necessary for any organization committed to protecting its data assets.

Sotero emerges as the groundbreaking cloud-native solution for zero trust data security, effortlessly merging your entire security architecture into a single, intuitive platform. By leveraging an advanced data security fabric, Sotero ensures that your critical information is always protected. The platform automatically safeguards all data and application instances, regardless of their source, location, or phase in the data lifecycle—be it at rest, in transit, or actively in use. Transitioning to Sotero allows organizations to move away from a fragmented and complex data security model and towards a unified security fabric that provides thorough management of their entire data security environment. This innovative approach removes the necessity for multiple point solutions to oversee data access, as it offers governance, audit trails, visibility, and complete oversight through one consolidated interface. Additionally, the Sotero platform can secure any data asset, no matter its storage location—covering relational databases, unstructured, semi-structured, or structured data, whether on-premises or in the cloud—ensuring comprehensive security across diverse environments. With Sotero, businesses can adeptly tackle their data security hurdles while preserving an integrated overview of their overall security stance. Ultimately, this empowers organizations to respond swiftly to emerging threats while ensuring regulatory compliance and fostering trust with stakeholders.

InfoSum harnesses the boundless possibilities of data by employing its patented privacy-first technology, which enables the linkage of customer records across different companies without the necessity of data sharing. This innovative approach has earned InfoSum the trust of clients in various sectors including financial services, content distribution, connected television, gaming, and entertainment. By facilitating seamless and compliant connections between customer data and partners through privacy-safe, permission-controlled networks, InfoSum stands out in the industry. The applications of InfoSum's technology are diverse, ranging from traditional data onboarding to more intricate scenarios that include the establishment of unique identity platforms, the creation and commercialization of new products and data, and even the formation of entirely new markets. Since its inception in 2015, InfoSum has laid a solid foundation and is now positioned for remarkable growth in the coming years. The company's commitment to innovation continues to drive its momentum in the data landscape.

IRI DarkShield employs a variety of search methodologies and numerous data masking techniques to anonymize sensitive information across both semi-structured and unstructured data sources throughout an organization. The outputs of these searches can be utilized to either provide, eliminate, or rectify personally identifiable information (PII), allowing for compliance with GDPR requirements regarding data portability and the right to be forgotten, either individually or in tandem. Configurations, logging, and execution of DarkShield tasks can be managed through IRI Workbench or a RESTful RPC (web services) API, enabling encryption, redaction, blurring, and other modifications to the identified PII across diverse formats including: * NoSQL and relational databases * PDF documents * Parquet files * JSON, XML, and CSV formats * Microsoft Excel and Word documents * Image files such as BMP, DICOM, GIF, JPG, and TIFF This process utilizes techniques such as pattern recognition, dictionary matching, fuzzy searching, named entity identification, path filtering, and bounding box analysis for images. Furthermore, the search results from DarkShield can be visualized in its own interactive dashboard or integrated into analytic and visualization tools like Datadog or Splunk ES for enhanced monitoring. Moreover, tools like the Splunk Adaptive Response Framework or Phantom Playbook can automate responses based on this data. IRI DarkShield represents a significant advancement in the field of unstructured data protection, offering remarkable speed, user-friendliness, and cost-effectiveness. This innovative solution streamlines, multi-threads, and consolidates the search, extraction, and remediation of PII across various formats and directories, whether on local networks or cloud environments, and is compatible with Windows, Linux, and macOS systems. By simplifying the management of sensitive data, DarkShield empowers organizations to better safeguard their information assets.

Cribl Stream enables the creation of an observability pipeline that facilitates the parsing and reformatting of data in real-time before incurring costs for analysis. This tool ensures that you receive the necessary data in your desired format and at the appropriate destination. It allows for the translation and structuring of data according to any required tooling schema, efficiently routing it to the suitable tools for various tasks or all necessary tools. Different teams can opt for distinct analytics platforms without needing to install additional forwarders or agents. A staggering 50% of log and metric data can go unutilized, encompassing issues like duplicate entries, null fields, and fields that lack analytical significance. With Cribl Stream, you can eliminate superfluous data streams, focusing solely on the information you need for analysis. Furthermore, it serves as an optimal solution for integrating diverse data formats into the trusted tools utilized for IT and Security purposes. The universal receiver feature of Cribl Stream allows for data collection from any machine source and facilitates scheduled batch collections from REST APIs, including Kinesis Firehose, Raw HTTP, and Microsoft Office 365 APIs, streamlining the data management process. Ultimately, this functionality empowers organizations to enhance their data analytics capabilities significantly.

Introducing the industry's pioneering SaaS solution for access governance, designed for multi-cloud data security through a unified interface. With the cloud landscape becoming increasingly fragmented and data dispersed across various platforms, managing sensitive information can pose significant challenges due to a lack of visibility. This complexity in data onboarding also slows down productivity for data scientists. Furthermore, maintaining data governance across different services often requires a manual and piecemeal approach, which can be inefficient. The process of securely transferring data to the cloud can also be quite labor-intensive. By enhancing visibility and evaluating the risks associated with sensitive data across various cloud service providers, this solution allows organizations to oversee their data policies from a consolidated system. It effectively supports compliance requests, such as RTBF and GDPR, across multiple cloud environments. Additionally, it facilitates the secure migration of data to the cloud while implementing Apache Ranger compliance policies. Ultimately, utilizing one integrated system makes it significantly easier and faster to transform sensitive data across different cloud databases and analytical platforms, streamlining operations and enhancing security. This holistic approach not only improves efficiency but also strengthens overall data governance.

Fasoo Data Radar (FDR) serves as an advanced solution for discovering and classifying data, empowering organizations to effectively identify, assess, and manage sensitive unstructured data across various environments such as on-premise servers, cloud platforms, and endpoint devices. Through the application of keyword searches, regex patterns, file formats, and established guidelines, FDR assists businesses in retaining oversight over vital information. Its capabilities include real-time monitoring and centralized policy enforcement, which bolster data security by pinpointing potential risks, thwarting unauthorized access, and ensuring adherence to key regulations such as GDPR, HIPAA, and CCPA. Furthermore, FDR integrates effortlessly with existing enterprise security frameworks, facilitating the implementation of uniform data protection measures while optimizing operational processes. By automating the tasks of data classification and governance, it not only enhances efficiency and fortifies data security but also provides clearer visibility for compliance with regulations and effective risk management strategies. As organizations increasingly prioritize data governance, solutions like FDR become indispensable in navigating the complexities of modern data landscapes.

Protect your sensitive SAP data by tackling security vulnerabilities and following data protection regulations such as the EU's General Data Protection Regulation (GDPR), South Africa's Protection of Personal Information Act (POPI), and California's Consumer Privacy Act of 2018 (CCPA) with the help of Data Secure™. In today's business environment, prioritizing data security is crucial. Data Secure™, part of EPI-USE Labs' Data Sync Manager™ (DSM) suite, effectively addresses your data protection needs. This all-encompassing solution includes predefined masking rules that enable you to obscure any non-key fields across various SAP tables that depend on client data, utilizing methods like table look-up mappings, constant values, or even completely clearing a field. Moreover, these rules can be customized to meet your organization's unique security demands. By adopting Data Secure, your company can align with prominent data privacy standards and regulations, ensuring the safeguarding of sensitive information in accordance with GDPR, Sarbanes-Oxley, and the Federal Data Protection Act (BDSG). Ultimately, implementing such comprehensive security strategies not only guarantees compliance but also builds trust among clients and stakeholders while enhancing your organization's reputation in the marketplace.

The Data Security Center (DSC) provides you with the ability to efficiently locate, mask, and secure sensitive data within both structured and unstructured datasets. It assesses risks at different stages of data management—such as collection, transmission, storage, sharing, utilization, and deletion—classifying them as high, medium, or low. This systematic approach enables you to effectively identify potential threats, allowing for prompt actions to enhance data security. Leveraging professional expertise and Natural Language Processing (NLP), the DSC proficiently pinpoints sources of sensitive information. It ensures robust protection for various data types coming from sources like Object Storage Services, databases, and extensive data repositories. Employing both predefined and customizable masking algorithms, the DSC significantly reduces the likelihood of sensitive data exposure, thereby preventing unauthorized access. Moreover, it aids in the discovery, classification, and safeguarding of sensitive information throughout every phase of data lifecycle management, thereby maintaining a strong security posture. By adopting these strategies, the DSC not only strengthens data protection measures but also fortifies adherence to data privacy laws and regulations, ultimately fostering greater trust in data handling practices. Such comprehensive security solutions are essential in today’s data-driven landscape.

K2View is committed to empowering enterprises to fully utilize their data for enhanced agility and innovation. Our Data Product Platform facilitates this by generating and overseeing a reliable dataset for each business entity as needed and in real-time. This dataset remains continuously aligned with its original sources, adjusts seamlessly to changes, and is readily available to all authorized users. We support a variety of operational applications, such as customer 360, data masking, test data management, data migration, and the modernization of legacy applications, enabling businesses to achieve their goals in half the time and at a fraction of the cost compared to other solutions. Additionally, our approach ensures that organizations can swiftly adapt to evolving market demands while maintaining data integrity and security.

Complexity undermines security; therefore, it's essential to simplify and scale fine-grained data access control measures. It is crucial to dynamically authorize and audit every query to ensure compliance with data privacy and security regulations. Okera offers seamless integration into various infrastructures, whether in the cloud, on-premises, or utilizing both cloud-native and traditional tools. By employing Okera, data users can handle information responsibly while being safeguarded against unauthorized access to sensitive, personally identifiable, or regulated data. Moreover, Okera's comprehensive auditing features and data usage analytics provide both real-time and historical insights that are vital for security, compliance, and data delivery teams. This allows for swift incident responses, process optimization, and thorough evaluations of enterprise data initiatives, ultimately enhancing overall data management and security.

Leverage Oracle Advanced Security to encrypt application tablespaces, effectively protecting sensitive information from unauthorized access and breaches. The introduction of redaction policies is instrumental in limiting the dissemination of confidential data, while also ensuring adherence to data protection regulations. Transparent Data Encryption (TDE) serves as a formidable shield against adversaries who may attempt to access sensitive information directly from storage by encrypting data at rest across the database. This encryption can be applied to individual data columns, complete tablespaces, database exports, and backups, offering enhanced control over who can access sensitive information. Additionally, Data Redaction complements TDE by further reducing the likelihood of unauthorized exposure of data within applications, as it conceals sensitive information prior to its exit from the database. The functionality includes options for both partial and full redaction, which effectively inhibits the extensive extraction of sensitive data into reports and spreadsheets. Furthermore, encryption is executed at the database kernel level, eliminating the need for any changes to current applications and thus simplifying the deployment process. Collectively, these security strategies create a comprehensive framework that safeguards sensitive information throughout its entire lifecycle, ensuring that data remains protected against evolving threats. By integrating these measures, organizations can foster greater trust in their data management practices.

SecuPi offers a robust data-focused security platform that incorporates advanced fine-grained access control (ABAC), Database Activity Monitoring (DAM), and a range of de-identification methods including FPE encryption, physical and dynamic masking, as well as right to be forgotten (RTBF) deletion. This solution is meticulously crafted to deliver comprehensive protection across both commercially available and bespoke applications, covering direct access tools, vast data landscapes, and cloud-based infrastructures. With SecuPi, businesses can leverage a unified data security system to seamlessly oversee, regulate, encrypt, and categorize their information across all cloud and on-premises environments without the need for any modifications to their existing codebase. The platform is both adaptable and configurable, allowing for adjustments to meet evolving regulatory and auditing requirements. Moreover, its swift and cost-effective deployment ensures that no changes to the source code are necessary, making it accessible for various organizations. SecuPi's precise data access controls are instrumental in safeguarding sensitive information, permitting users to access only the data they are authorized to view. Additionally, the platform integrates effortlessly with Starburst/Trino, automating the enforcement of data access policies and bolstering data protection initiatives. This functionality empowers organizations to achieve compliance and maintain security while effectively managing their data challenges, ultimately enhancing their overall data governance strategies.

Baffle provides robust data protection solutions designed to uphold privacy and manage data visibility, regardless of where the data comes from or where it is headed. Organizations are grappling with persistent threats from cyberattacks, particularly ransomware, as well as heightened worries about the security and integrity of their data in various environments, including both public and private clouds. As regulations around data management continue to evolve, the approaches to storing, accessing, and analyzing data have undergone significant changes, requiring businesses to adapt quickly. Baffle addresses the inevitability of data breaches by ensuring that even if a breach occurs, unprotected data remains unreachable to attackers. This proactive stance establishes a vital final layer of defense, emphasizing the importance of continuous security from the moment data is created through to its processing. The company's state-of-the-art transparent data security mesh is designed to work seamlessly with both on-premises and cloud-based data, offering multiple protection options. Furthermore, Baffle provides ongoing safeguards as data moves from its source repositories to cloud databases or object storage, enabling organizations to use sensitive information securely without compromising its integrity. This dual focus on prevention and continuous protection positions Baffle as a leader in the fight against data breaches and cyber threats.

Recognizing potential vulnerabilities, thwarting data breaches, and maintaining privacy regulations are crucial tasks for any organization. Open Raven is a cloud-native platform specifically designed to protect data by tackling the security and privacy challenges that accompany the swift growth of cloud environments. In just moments, users can gain full visibility and reclaim control without needing agent installations. By utilizing policy-driven approaches, Open Raven adeptly discovers, categorizes, and shields your essential cloud assets. Addressing the roots of data leaks and privacy violations is vital, whether they originate from shadow accounts, uncontrolled data, misconfigurations, or improper access rights. Gaining a thorough comprehension of data security and privacy is imperative to avoid costly breaches. With real-time monitoring of cloud resources and data stores, users can also auto-discover all cloud assets quickly using interactive 3D visualizations, which help identify vulnerable accounts, VPCs, and security groups. Effectively classifying sensitive data according to your organization’s standards is essential for successful privacy engineering and SecOps management, ensuring that all significant information within your cloud infrastructure is promptly recognized and secured. Additionally, staying ahead of potential threats is critical in a constantly evolving digital landscape, making proactive measures indispensable for safeguarding your organization’s data.

Security Auditor offers a streamlined approach to managing security policies and monitoring file integrity across cloud, on-premise, and hybrid environments, centralizing administration effortlessly. By leveraging agentless technology, it facilitates swift enforcement of compliance with security policies while mitigating risks stemming from misconfigurations, which often lead to data breaches. The software automatically secures newly activated systems and continuously monitors them for any configuration changes that stray from your predefined standards. Users are promptly alerted to any policy breaches and can implement necessary adjustments easily via an intuitive web interface, thereby improving efficiency and simplifying compliance documentation. For those who desire enhanced automation, the FixIt feature enables Security Auditor to autonomously make required adjustments, further optimizing the security landscape. This tool not only makes the identification of issues more efficient but also fortifies security configurations within your evolving cloud infrastructure, ensuring a strong security posture is sustained. In summary, Security Auditor is expertly crafted to boost both security measures and operational productivity across various computing environments, ultimately fostering a more resilient infrastructure.

MIND is an innovative data security platform that revolutionizes the approach to data loss prevention (DLP) and insider risk management (IRM) by automating processes that allow organizations to quickly identify, detect, and prevent data breaches at unprecedented speeds. This solution actively searches for sensitive data within various file types across multiple IT environments, effectively covering scenarios where data is stored, transmitted, or currently accessed. By identifying and addressing vulnerabilities in sensitive information across a wide array of IT ecosystems, including SaaS platforms, AI applications, endpoints, on-premises file systems, and email communications, MIND guarantees extensive protection. The platform consistently monitors and analyzes billions of data security incidents in real time, delivering enriched context surrounding each occurrence while autonomously executing necessary remediation actions. Additionally, MIND has the capability to instantly block sensitive data from being exposed or to collaborate with users to reduce risks, all while reinforcing organizational policies. Its ability to seamlessly integrate with various data sources within IT infrastructures allows MIND to uncover vulnerabilities in sensitive data, thereby strengthening the overall security framework. Not only does MIND safeguard critical information, but it also promotes a culture of compliance and heightened awareness among users, ultimately leading to a more secure organizational environment. This dual focus on protection and education ensures that users are not only shielded from risks but are also equipped to recognize and respond to potential threats.

Safeguarding sensitive information, particularly personally identifiable information (PII), through strategies such as pseudonymization and anonymization is crucial for secondary applications like comparative effectiveness research, policy assessments, and studies within the life sciences. As organizations gather large amounts of business data to discern patterns, gauge customer preferences, and stimulate innovation, the significance of this process grows. Adherence to legal frameworks like HIPAA and GDPR requires that data be stripped of identifying details; however, many current de-identification solutions focus primarily on eliminating personal identifiers, which can compromise the usability of the data. Transforming PII into formats that preclude identification while ensuring privacy is essential, and effectively utilizing data anonymization and pseudonymization techniques is key to this endeavor. This approach facilitates thorough data analysis without violating privacy laws. It is crucial to carefully choose suitable methods and privacy models from the broad domains of data de-identification and statistics to achieve effective data de-identification. Additionally, ongoing assessment of the evolving landscape of privacy standards is necessary to maintain compliance. Ultimately, achieving an equilibrium between data usability and the protection of privacy is essential for ethical data management practices.

DPM easyData functions as a sophisticated engine for the de-identification and spoofing of data, utilizing techniques like masking, tokenization, anonymization, pseudonymization, and encryption to protect sensitive information. By employing data spoofing methods, this software can replace entire data sets or portions with non-sensitive substitutes, creating fictitious data that acts as a strong safeguard. Designed specifically for web and application server environments, it allows databases to anonymize and tokenize data while implementing masking policies for users lacking proper authorization to access sensitive materials. What sets DPM easyData apart is its ability to provide precise control, enabling administrators to delineate user permissions regarding access to specific protection measures and to specify the actions they can undertake within these guidelines. Additionally, its highly customizable framework supports a vast array of data types, delivering exceptional flexibility in defining input and token formats to address various security requirements. This versatility not only empowers organizations to uphold strict data protection standards but also facilitates the effective management of sensitive information across different scenarios. Overall, DPM easyData represents a comprehensive solution for organizations seeking to enhance their data security protocols while navigating the complexities of sensitive information management.

Are you finding it increasingly difficult to manage the vast amounts of data in your organization? Netwrix Data Classification effectively tackles your data-related issues, minimizing the risk of data breaches while maximizing the potential of your information, boosting employee productivity, and making compliance audits more straightforward. It empowers you to pinpoint sensitive data such as financial records, medical information, and personally identifiable information (PII), regardless of whether it's stored on-premises or in the cloud. Moreover, sensitive or critical data that is stored in insecure locations or accessible to too many individuals can be automatically isolated to mitigate risks until a comprehensive remediation strategy can be enacted. This solution also allows you to gain a more profound understanding of your organization’s unique data patterns. By employing advanced compound term processing and statistical analysis, you can achieve outcomes that are significantly more relevant than those obtained through simple keyword searches and semantic evaluations. With pre-configured rules that focus on data protected by regulations like GDPR, PCI DSS, and HIPAA, you can kickstart your discovery process in just a few minutes. This efficient methodology not only speeds up your data management efforts but also guarantees that you uphold compliance with ease, providing peace of mind as you navigate the complexities of data governance. Ultimately, embracing this approach not only safeguards your organization but also fosters a culture of data responsibility and proactive management.

In response to escalating security threats and the implementation of strict privacy regulations, a more vigilant strategy for managing sensitive information has become essential. Oracle Data Masking and Subsetting provides database professionals with a robust solution that not only fortifies security but also simplifies compliance measures and reduces IT costs by sanitizing copies of production data for various applications, including testing and development, while also enabling the elimination of unnecessary data. This innovative tool facilitates the extraction, obfuscation, and sharing of comprehensive and selective data sets with partners, regardless of whether they are internal or external to the organization, thereby maintaining the integrity of the database and ensuring that applications function smoothly. Furthermore, Application Data Modeling plays a crucial role by automatically detecting columns in Oracle Database tables that hold sensitive information using predefined discovery patterns, such as national IDs and credit card numbers, which are critical for protecting personal information. In addition, it is capable of identifying and mapping parent-child relationships structured within the database, significantly improving the efficacy of data management practices. Overall, these features enhance the organization’s ability to safeguard sensitive data while facilitating better data governance.

The Mage™ Dynamic Data Masking module, a key component of the Mage data security platform, has been meticulously designed with the end user's needs in mind. In partnership with clients, this module effectively meets their distinct challenges and requirements. As a result, it has evolved to support nearly all conceivable scenarios that businesses may face. Unlike many rival products that typically originate from acquisitions or target specific niches, Mage™ Dynamic Data Masking is tailored to deliver thorough safeguarding of sensitive information accessed by application and database users in live environments. This solution also seamlessly integrates into a company's current IT framework, negating the necessity for significant architectural changes, which facilitates a more effortless implementation for organizations. Furthermore, this thoughtful design underscores a dedication to bolstering data security while enhancing user experience and operational effectiveness, positioning it as a reliable choice for enterprises seeking robust data protection. Ultimately, the Mage™ Dynamic Data Masking module stands out for its ability to adapt to the evolving landscape of data security needs.

Forget the tedious tasks of manual content classification and data entry, as Doculayer.ai offers a customizable workflow that encompasses a range of document processing services, including OCR, document type and topic classification, along with data extraction and masking. With its user-friendly interface, Doculayer.ai empowers business users to efficiently label documents and data, enhancing their learning and training processes. The platform employs a hybrid data extraction method, integrating machine learning models with established patterns, rules, and library scripts to achieve superior outcomes in a shorter time frame. Additionally, data masking is available to help anonymize or pseudonymize sensitive information within documents. By incorporating Doculayer.ai into your Content Services Platform and Business Process Management systems, you can significantly enhance document intelligence. Furthermore, this innovative solution enables your existing IT infrastructure to be supplemented with advanced technologies such as machine learning, natural language processing, and computer vision, all aimed at streamlining document processing. Ultimately, adopting Doculayer.ai can transform the way organizations manage their documents and data workflows.

Mage™ provides extensive capabilities for Static Data Masking (SDM) and Test Data Management (TDM) that seamlessly integrate with Imperva's Data Security Fabric (DSF), effectively protecting sensitive or regulated data. This integration is designed to fit effortlessly within an organization's existing IT framework, harmonizing with current application development, testing, and data workflows, and does not require any modifications to the current architecture. Consequently, organizations can significantly boost their data protection measures while preserving their operational effectiveness, enabling a secure yet agile data handling process. Furthermore, this compatibility ensures that businesses can implement these security enhancements without disrupting their day-to-day activities.

For over forty years, IRI CoSort has established itself as a leader in the realm of big data sorting and transformation technologies. With its sophisticated algorithms, automatic memory management, multi-core utilization, and I/O optimization, CoSort stands as the most reliable choice for production data processing. Pioneering the field, CoSort was the first commercial sorting package made available for open systems, debuting on CP/M in 1980, followed by MS-DOS in 1982, Unix in 1985, and Windows in 1995. It has been consistently recognized as the fastest commercial-grade sorting solution for Unix systems and was hailed by PC Week as the "top performing" sort tool for Windows environments. Originally launched for CP/M in 1978 and subsequently for DOS, Unix, and Windows, CoSort earned a readership award from DM Review magazine in 2000 for its exceptional performance. Initially created as a file sorting utility, it has since expanded to include interfaces that replace or convert sort program parameters used in a variety of platforms such as IBM DataStage, Informatica, MF COBOL, JCL, NATURAL, SAS, and SyncSort. In 1992, CoSort introduced additional manipulation capabilities through a control language interface modeled after the VMS sort utility syntax, which has been refined over the years to support structured data integration and staging for both flat files and relational databases, resulting in a suite of spinoff products that enhance its versatility and utility. In this way, CoSort continues to adapt to the evolving needs of data processing in a rapidly changing technological landscape.