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FinOpslyFinOpsly helps enterprises regain control of cloud, data, and AI spend—and turn it into measurable business value. As organizations scale across AWS, Azure, GCP, and modern data platforms like Snowflake, Databricks, and BigQuery, technology costs become harder to predict, explain, and control. FinOpsly addresses this challenge by connecting technology spend directly to business outcomes—and enabling teams to act on it in real time. FinOpsly unifies cloud infrastructure, data platforms, and AI workloads into a single operating model where spend is planned upfront, monitored continuously, and optimized automatically. Using explainable, policy-driven AI, the platform helps organizations reduce waste, prevent overruns, and align technology investments with business priorities—without slowing down innovation. With FinOpsly, organizations can: Understand exactly where money is going across AWS, Azure, GCP, Snowflake, Databricks, and BigQuery Plan and forecast costs earlier, before new cloud, data, or AI initiatives are deployed Automate optimization safely, using governance rules aligned to business risk and performance needs Deliver measurable financial impact quickly, often within weeks rather than quarters FinOpsly enables IT, finance, and business leaders to operate from a shared view of spend and value—bringing Value-Control™ to cloud, data, and AI investments at enterprise scale.
What is LLM Capsule?
LLM Capsule enables organizations to harness the power of AI and large language models—like ChatGPT, Claude, and Gemini—while ensuring that sensitive corporate data remains protected from unauthorized access. Unlike traditional methods of data masking or redaction that often strip away essential context and limit the effectiveness of AI, LLM Capsule enhances and encapsulates data to preserve its inherent structure, relationships, and business relevance for accurate AI analysis. This innovative solution not only secures personally identifiable information (PII) but also shields crucial business contexts—such as contracts, project identifiers, clinical terminologies, and source code—through adaptable policies that cater to specific needs. The Capsule technology ensures that only secure, contextually rich information is shared with both internal and external AI systems, while the original data is seamlessly restored upon access. Organizations can confidently comply with stringent regulations, including N2SF and ISO/IEC 27001, all while benefiting from complete audit capabilities and adaptable deployment choices, whether in a cloud environment or on-site. By leveraging LLM Capsule, teams are not just protected; they are equipped to foster innovation through AI, maintaining the essential context that informs effective decision-making processes, ultimately leading to enhanced organizational growth.
What is Informatica Persistent Data Masking?
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.
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Integrations Supported
AWS IoT SiteWise
Accenture Cloud Trade Promotion Management
Amazon Web Services (AWS)
AssetMetrics
CalendarAnything
Cognizant
Databricks
Decimal
Eviden MDR Service
Google Cloud Platform
Integrations Supported
AWS IoT SiteWise
Accenture Cloud Trade Promotion Management
Amazon Web Services (AWS)
AssetMetrics
CalendarAnything
Cognizant
Databricks
Decimal
Eviden MDR Service
Google Cloud Platform
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
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
CUBIG LTD
Date Founded
2021
Company Location
United Kingdom
Company Website
cubig.ai
Company Facts
Organization Name
Informatica
Date Founded
1993
Company Location
United States
Company Website
www.informatica.com/products/data-security/data-masking/persistent-data-masking.html