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Securiti Partners with Databricks to Enable Organizations to Build Safe Enterprise AI Systems

Securiti Partners with Databricks to Enable Organizations to Build Safe Enterprise AI SystemsThe cloud data governance & security leader founded by the creators of Apache Ranger™ and Apache Atlas™. Privacera empowers enterprises building data platforms in the cloud to balance data governance and security with data access, discovery, and analytics. Often described as “Apache Ranger in the Cloud”, Privacera enables IT and data platform teams to make as much data as possible available to the business for analytics while ensuring it is used ethically & in compliance with privacy regulations. https://privacera.com/ (PRNewsfoto/Privacera) News provided by Privacera Feb 19, 2025, 08:30 ET Share this article FREMONT, Calif., Feb. 19, 2025 /PRNewswire/ -- Privacera, the AI and data security governance company founded by the creators of Apache Ranger, today announced significant updates to its AI Governance (PAIG) platform, reinforcing its commitment to AI risk management and compliance. These additions align PAIG to the existing National Institute of Standards and Technology's (NIST) AI Risk Management Framework, offering a comprehensive, structured approach designed to improve trustworthiness in AI technologies while promoting innovation and mitigating risks. PAIG now fully aligns with the NIST AI Risk Management Framework, ensuring organizations can implement AI security best practices in a structured manner. PAIG now fully aligns with the NIST AI Risk Management Framework, ensuring organizations can implement AI security best practices in a structured manner. "As enterprises increasingly integrate generative AI into their workflows and deploy more AI Agents, ensuring security and compliance is critical," said Balaji Ganesan, CEO and Co-founder of Privacera. "With these updates, PAIG provides a holistic approach to AI governance—empowering organizations to manage risk, enforce policies, and maintain visibility across their AI applications. PAIG is a diagnostic and remediation tool that allows organizations to proactively identify AI risks and implement targeted protections to mitigate them. By aligning with the NIST AI Risk Management Framework, we provide organizations with a standardized approach to mitigating AI security challenges, fostering responsible and trustworthy AI adoption." Why AI Risk Management Matters The NIST AI Risk Management Framework highlights the distinct risks AI poses compared to traditional software, including unpredictability, societal influence, and the potential for sensitive data exposure. AI risks can emerge from technical factors and human behaviors, impacting applications from online chatbots to high-stakes decision-making in hiring and finance. The framework outlines four essential functions—Govern, Map, Measure, and Manage—to help organizations approach AI risk mitigation systematically. By integrating PAIG with this framework, Privacera enables enterprises to proactively identify, assess, and remediate AI-related risks at every stage of AI deployment. Aligning PAIG with Industry Standards As enterprises face the potential risks that come with implementing and putting their generative AI products into the market, Privacera's enhanced PAIG experience helps businesses address those risks in alignment with NIST's framework, empowering them to get ahead of sensitive data leakage, compromised IP information, and misbehavior. These additions to the PAIG solution emphasize Privacera's commitment to educating its customers on risk factors associated with the evolution of AI. Key Enhancements to PAIG: PAIG Navigator creates a comprehensive inventory of AI assets, mapping each component's interdependencies and potential risks. It evaluates these risks based on data sensitivity, intellectual property, and possible misuse or unintended consequences. Additionally, PAIG Navigator monitors AI applications according to established industry standards and regulatory frameworks, including NIST, to ensure ongoing compliance and risk management. PAIG Lens enables periodic testing and evaluation of deployed AI applications to identify potential issues such as data leakage, bias, or IP violations. It provides real-time visibility into AI systems' behavior and performance, helping organizations understand the current state of their AI implementations and identify areas of concern. PAIG Guard implements guardrails and access control mechanisms to mitigate risks identified by PAIG Navigator and PAIG Lens. This includes setting policies and rules for AI systems, such as data filtering, model restrictions, and user permissions. PAIG Guard also provides compliance features to ensure AI applications adhere to relevant regulations and standards and enables remediation actions to address gaps or issues uncovered through assessment and monitoring. A Commitment to Industry Standards and Open-Source Innovation PAIG now fully aligns with the NIST AI Risk Management Framework, ensuring organizations can implement AI security best practices in a structured manner. This alignment enables businesses to proactively identify, evaluate, and mitigate risks associated with AI, ensuring responsible AI deployment. Privacera will make the upgraded PAIG capabilities available in open source and Privacera Cloud, enabling broader adoption and innovation in AI security. Availability PAIG Nagivate, PAIG Lens, and PAIG Guard are now available. To learn more about these enhancements' features and capabilities, visit https://privacera.com/request-a-paig-demo/. About Privacera Privacera, headquartered in Newark, CA, was founded in 2016 by the visionaries behind Apache Ranger™ and Apache Atlas. The company delivers trusted and timely access to data consumers, offering data privacy, security, and governance through its SaaS-based unified data and AI security platform. Privacera's latest innovation, Privacera AI Governance (PAIG), is the industry's first AI data security governance solution. Serving Fortune 500 clients across various sectors, including finance, insurance, life sciences, retail, media, consumer, and government entities, Privacera holds AWS Data and Analytics Competency Status and collaborates with leading data sources such as AWS, Snowflake, Databricks, Azure, and Google. Privacera is recognized as a leader in the 2023 GigaOm Radar for Data Governance, was a 2022 CISO Choice Awards Finalist, and received the 2022 Digital Innovator Award. The company is also named a "Sample Vendor" for data security platforms in the Gartner® Hype Cycle™ for Data Security, 2023. Learn more at Privacera.com. SOURCE Privacera WANT YOUR COMPANY'S NEWS FEATURED ON PRNEWSWIRE.COM? icon3 440k+ Newsrooms & Influencers icon1 9k+ Digital Media Outlets icon2 270k+ Journalists Opted In GET STARTED Also from this source Privacera's 2025 Vision: Generative AI Governance at the Forefront Privacera's 2025 Vision: Generative AI Governance at the Forefront Privacera, the AI and data security governance company founded by the creators of Apache Ranger and the industry's first comprehensive generative AI... Privacera Named a Finalist in The 2024 A.I. Awards Privacera Named a Finalist in The 2024 A.I. Awards Privacera, the AI and data security governance company founded by the creators of Apache Ranger and the industry's first comprehensive generative AI... 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Gencore AI accelerates enterprise-grade AI development with Databricks Mosaic AI and Delta tables

Securiti, the pioneer in data security, privacy, governance and compliance, today announced that it has partnered with Databricks, the data and AI company, to integrate Databricks Mosaic AI and Delta tables into Securiti’s Gencore AI solution. This new partnership enables customers to more easily and quickly build safe, enterprise-grade generative AI (GenAI) systems and AI agents, using proprietary enterprise data.

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The biggest barrier to deploying GenAI systems within organizations is safely connecting to data systems, while ensuring proper controls and governance throughout the AI pipeline. Since the majority of an organization’s data is unstructured data, it’s critical to properly govern and control these assets.

Gencore AI accelerates GenAI adoption in the enterprise by making it easy to build AI pipelines using data from hundreds of data systems. With this new integration, organizations can safely harness the power of their structured and unstructured data anywhere with Databricks Data Intelligence Platform. Key capabilities include:

  • Safely pipe and sync unstructured data with context to Delta tables from SaaS apps and other data systems across IaaS and private clouds. Users can leverage contextual intelligence from Securiti Data Command Graph to select the most relevant files and datasets, sanitize sensitive information from unstructured and structured data, and ensure adherence to data privacy, security, and sovereignty considerations before importing it into Delta tables. This curated and sanitized data in Delta tables supports AI model training and tuning in Mosaic AI while maintaining privacy and compliance requirements.
  • Provide key data controls to fuel the scaled use of data + AI through data sanitization, LLM firewalling, entitlement controls, and graph-based deep visibility and provenance. This approach ensures comprehensive AI security and alignment with OWASP Top 10 for LLMs for Safe AI Systems.
  • Build personalized AI applications with Databricks Mosaic AI by gaining access to diverse unstructured data with built-in security controls and provenance tracing for compliance. Enable personalized AI applications by leveraging rich contextual data including user entitlements and permissions, while maintaining enterprise-grade security and governance.

“Today’s enterprises want AI applications trained on their proprietary data. This is what we call data intelligence,” said Ariel Amster, Director of Strategic Technology Partners at Databricks. “By securely harnessing structured and unstructured data within the Databricks Data Intelligence Platform, this integration helps businesses accelerate their AI initiatives while maintaining robust data security and compliance controls.”

“With organizations racing to adopt AI, the biggest challenge is safely accessing and governing their vast unstructured and structured data assets,” said Rehan Jalil, CEO of Securiti AI. “By combining Gencore AI’s data controls with Databricks Mosaic AI and Delta tables, we deliver the critical data governance, security controls, and contextual intelligence that enterprises need to innovate confidently with AI while meeting regulatory requirements.”

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