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Ratings and Reviews 2 Ratings
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Veeam Data PlatformVeeam Data Platform is a unified data resilience solution that helps organizations recover from cyberattacks and outages, and protect workloads across hybrid and multicloud environments – all without vendor lock-in. The platform includes built-in security capabilities designed to mitigate ransomware and other data-loss threats, including AI-backed threat detection across a broad range of workload types. This is intended to help teams identify and respond to threats before they disrupt operations. Veeam Data Platform supports workload portability across hypervisors, cloud providers, and on-premises environments, allowing organizations to move or recover data across infrastructure without being tied to a specific vendor or platform. For organizations looking to simplify deployment, Veeam Software Appliance provides a pre-built, hardened, and highly available option, reducing the manual setup and maintenance work required from IT teams.
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FerootFeroot Security is a global authority in AI-driven website and web application compliance, security, and digital risk management. Feroot AI helps organizations gain continuous visibility into how data moves across their websites and applications, protecting users from hidden threats while enforcing compliance with PCI DSS 4.0.1, HIPAA rules governing online tracking technologies, CCPA/CPRA, GDPR, CIPA, and more than 50 international laws. The Feroot AI Platform transforms compliance and security from a manual, reactive process into an automated, always-on control layer. Tasks that traditionally require months of coordination between engineering, legal, privacy, and security teams can be activated in minutes, producing real-time protection and audit-ready evidence without disrupting development workflows. Feroot consolidates essential capabilities into a single unified platform, including advanced JavaScript behavior analysis, continuous website compliance scanning, third-party script oversight, consent and preference enforcement, and data privacy posture management. The platform is purpose-built to detect, prevent, and eliminate modern web threats such as Magecart, formjacking, e-skimming, and unauthorized data collection, especially on sensitive surfaces like checkout pages, authentication flows, embedded iframes, and healthcare portals. By monitoring runtime behavior rather than static code alone, Feroot ensures that every script and data interaction aligns with regulatory and security requirements at all times. Trusted by Fortune 500 enterprises, healthcare organizations, retailers, SaaS providers, payment service providers, utilities, universities, and public sector institutions, Feroot safeguards hundreds of millions of users across web and mobile environments worldwide. Feroot AI solutions include PaymentGuard AI, HealthData Shield AI, AlphaPrivacy AI, CodeGuard AI, and MobileGuard AI. Visit feroot for more information.
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HERE Enterprise BrowserAt HERE, we’ve been solely focused on building the world’s first and only enterprise browser purpose-built to solve both security and productivity. HERE technology is trusted by 90% of the world’s largest financial institutions and backed by In-Q-Tel, the strategic investment firm that works with the U.S. intelligence community and other government agencies. HERE is redefining how global enterprises secure their work and empower their workforce. Built on Chromium, HERE seamlessly integrates into enterprise environments while delivering controls, context, and confidence where consumer browsers fall short.
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SCIKIQSCIKIQ is one of the most innovative AI-native Data & Intelligence platforms for enterprises, built to make enterprise data AI-ready in weeks, not years. Recognized by Forrester among leading AI-augmented data platforms, NASSCOM League of 10, YourStory Tech30, Inc42 and DataIQ, SCIKIQ is trusted by leading global enterprises across the USA, India, UK and UAE. SCIKIQ brings Data Integration, Data Quality, Data Governance, Metadata Management, Data Lineage, Semantic Intelligence, Knowledge Graphs, Conversational Analytics, Generative AI, Data Products and AI Agents together in one unified platform. Unlike traditional data platforms that require enterprises to move or rebuild their technology stack, SCIKIQ works with what you already have. Connect SAP, Salesforce, Oracle, Snowflake, Databricks, AWS, Azure, GCP, data lakes, warehouses and enterprise applications through 200+ pre-built connectors, with no rip-and-replace. What makes SCIKIQ different is Contextual Intelligence. SCIKIQ doesn't just connect data; it helps AI understand its business meaning. Its semantic layer combines business terms, KPI definitions, metadata, lineage, ownership, rules, ontologies and relationships to create a trusted foundation for enterprise AI. Business users can talk to their data in natural language, investigate KPIs, discover root causes and generate insights without SQL. Data teams gain enterprise-grade governance, quality, lineage and control. AI teams get trusted, contextual data for building GenAI applications and intelligent AI agents. Why enterprises choose SCIKIQ AI-ready in 3–6 weeks | 167+ connectors | 99.9% availability | Multi-cloud | No-code | No vendor lock-in | No replatforming Proven production deployments across Manufacturing retail, airlines, logistics, BFSI, Healthcare and others
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PropelPropel is a modern, AI-powered product management platform built for today’s manufacturers. It brings Product Lifecycle Management (PLM), Quality Management System (QMS), Product Information Management (PIM), and robust supplier management together in one cloud-based solution, giving teams a single, always-accurate view of their products across the entire lifecycle. With AI embedded directly into the platform through Propel One, teams can automate routine tasks, surface insights faster, and make more confident decisions using real product and quality data. AI helps reduce manual effort, identify risks earlier, and keep work moving across change management, quality events, and product operations. Propel replaces spreadsheets and disconnected systems with a governed digital product record that spans engineering, quality, operations, supply chain, and product teams. Built-in workflows standardize change control, streamline quality processes, and support compliance without slowing teams down. Every update and approval is tracked with full traceability, helping manufacturers reduce errors, shorten cycle times, and improve cross-functional collaboration. Trusted by medical device, high tech, and industrial manufacturers, Propel is designed for complex products and regulated environments. The platform scales easily as products, teams, and requirements grow, providing a strong foundation for long-term innovation. Propel delivers enterprise-grade security and reliability through its architecture on the Salesforce platform, including robust data protection and access controls. Customers do not need to be Salesforce users to benefit from Propel’s security and capabilities. Propel has been recognized by Deloitte as a fast-growing technology company and named to the Inc. 5000 list of fastest-growing private companies, reflecting strong customer adoption and momentum helping manufacturers modernize how they build, manage, and deliver products.
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Orca SecurityOrca Security has established itself as a leader in agentless cloud security, earning the trust of numerous enterprises worldwide. By utilizing its innovative SideScanningâ„¢ technology and Unified Data Model, Orca enables businesses to securely transition and expand their operations in the cloud. Through the Orca Cloud Security Platform, organizations benefit from unparalleled risk coverage and visibility across major platforms including AWS, Azure, Google Cloud, and Kubernetes, ensuring a robust security posture. This comprehensive approach allows enterprises to effectively manage their cloud environments with confidence.
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AnalyticsCreatorAnalyticsCreator helps Microsoft data teams turn governed design into deployable data solutions without introducing a proprietary runtime layer. Teams use AnalyticsCreator to define warehouse structures, transformation logic, historisation rules, relationships and dependencies in a central model. From that model, the application can generate native implementation assets for technologies such as SQL Server, SSIS, Azure Data Factory, Microsoft Fabric and Power BI. The approach is designed for organisations that want to standardise how data warehouses and data products are engineered while keeping full control of the resulting code and project artefacts. Generated outputs can be integrated into existing Git, Azure DevOps and CI/CD workflows for versioning, review and controlled deployment across environments. AnalyticsCreator supports dimensional, 3NF and hybrid modelling as well as common engineering patterns including delta loading, Slowly Changing Dimensions, snapshots and historisation. Documentation, lineage and dependency information are maintained alongside the project design, making it easier to assess the impact of proposed changes and keep implementation aligned with the underlying model. The AnalyticsCreator Governed Control Model provides the foundation for this process by keeping business meaning, technical structures and implementation logic connected. Design Intelligence builds on that context by making governed project metadata, lineage, dependencies and design rules available to authorised AI tools and agents. Typical use cases include modernising SQL Server and SSIS estates, building Microsoft Fabric solutions, standardising Power BI delivery and creating repeatable data warehouse and data product engineering processes.
What is Monad?
Monad is an all-encompassing security data cloud platform that streamlines the extraction, transformation, and loading (ETL) of data from a range of security tools into a unified data warehouse. This platform allows security teams to efficiently export data from their existing systems, tailor it into specific data models, and easily transfer it to their data repositories, facilitating smooth integration and enhanced analytical capabilities. Furthermore, it offers functionalities for security, DevOps, and cloud engineering teams to interact with data through SQL and business intelligence tools, which significantly boosts their capacity to normalize, transform, and enrich data for improved security and compliance outcomes. With its user-friendly interface and robust enterprise-grade connectors, Monad simplifies the creation of a security data lake, helping organizations dismantle data silos while gaining crucial insights and analytics that are vital for effective security governance. The platform’s ability to consolidate various data sources promotes a comprehensive view of security metrics, which ultimately fosters more informed decision-making and proactive risk management strategies. By leveraging Monad, organizations can enhance their overall security posture and ensure regulatory compliance with greater efficiency.
What is Imperva Data Security Fabric?
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.
Integrations Supported
Amazon Web Services (AWS)
Axonius
Cortex Data Lake
Databricks
Google Cloud BigQuery
Jamf Connect
Jira
Lacework
Mage Static Data Masking
Mend.io
Integrations Supported
Amazon Web Services (AWS)
Axonius
Cortex Data Lake
Databricks
Google Cloud BigQuery
Jamf Connect
Jira
Lacework
Mage Static Data Masking
Mend.io
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Monad
Company Website
www.monad.com
Company Facts
Organization Name
Imperva
Date Founded
2002
Company Location
United States
Company Website
www.imperva.com/products/data-security-fabric/
Categories and Features
Data Security
Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance
IT Security
Anti Spam
Anti Virus
Email Attachment Protection
Event Tracking
IP Protection
Internet Usage Monitoring
Intrusion Detection System
Spyware Removal
Two-Factor Authentication
Vulnerability Scanning
Web Threat Management
Web Traffic Reporting
Categories and Features
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Data Fabric
Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management
Data Security
Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance