As AI technologies continue to evolve, generative AI is becoming a core part of enterprise workflows. Consequently, organizations now face a growing need for stronger governance and risk management strategies.
Traditional governance models are no longer enough for modern AI systems. Therefore, organizations must approach AI governance in a more dynamic and specialized way.
To address this challenge, we introduced major updates to our Platform for AI Governance (PAIG). We specifically designed these enhancements to help enterprises secure, monitor, and control AI applications from end to end.
These responsible AI governance capabilities now align closely with the National Institute of Standards and Technology’s (NIST) AI Risk Management Framework (AI RMF).
As a result, organizations gain a clear and structured framework for evaluating, monitoring, and reducing AI-related risks.
More importantly, these updates help companies adopt responsible and compliant AI practices without slowing innovation.
Why AI Governance Matters More Than Ever
AI systems behave very differently from traditional software applications.
Unlike static systems, AI models learn, adapt, and make decisions dynamically. Because of this, organizations often struggle to predict or fully explain AI behavior.
That unpredictability can introduce serious risks, including:
- Bias and unfair outcomes
- Data leakage and privacy exposure
- Intellectual property risks
- Misuse of AI-generated content
Additionally, these risks may emerge from both technical failures and human behavior.
To help organizations manage these challenges, the NIST AI RMF provides a standardized framework built around four core functions:
- Govern: Embed AI risk management into organizational policies and operational practices.
- Map: Identify, understand, and document AI system risks.
- Measure: Continuously monitor AI system performance, reliability, and behavior.
- Manage: Reduce identified risks and maintain accountability through active controls.
By aligning PAIG with these principles, we give enterprises the tools they need to proactively identify and reduce AI-related risks across the entire AI lifecycle.
From experimentation to production deployment, organizations can now govern AI systems more confidently and consistently.
What’s New in PAIG?
We introduced three major components into the PAIG platform: PAIG Navigator, PAIG Lens, and PAIG Guard.
Each component supports a key function within the NIST AI Risk Management Framework.
PAIG Navigator: Map Your AI Landscape
PAIG Navigator helps organizations build a complete inventory of AI assets across the enterprise.
The platform tracks dependencies, connected systems, and potential risk exposure.
In addition, Navigator analyzes sensitive data exposure, intellectual property risks, and possible misuse scenarios.
It also continuously checks systems against compliance frameworks such as NIST. Consequently, organizations can stay ahead of changing regulatory requirements.
PAIG Lens: Measure and Monitor Risk
PAIG Lens enables organizations to test, evaluate, and monitor AI systems continuously.
For example, Lens can detect bias, identify data leakage, and surface intellectual property violations.
As a result, teams gain deeper visibility into how AI systems behave in real-world environments.
You can think of PAIG Lens as a real-time diagnostic layer for your AI infrastructure.
PAIG Guard: Mitigate and Manage with Guardrails
Once organizations identify risks, PAIG Guard helps them respond quickly and consistently.
Teams can define policies, apply filters, enforce access controls, and restrict unsafe model behavior.
Additionally, Guard automates remediation workflows. Therefore, organizations can close the loop on AI risk management much faster.
This approach helps enterprises maintain safe, compliant, and trustworthy AI operations at scale.
Aligned with NIST, Open to All
By integrating directly with the NIST AI Risk Management Framework, PAIG helps organizations operationalize AI governance in a consistent and repeatable manner.
At the same time, we remain committed to democratizing access to responsible AI technologies.
Because of this commitment, we now offer these enhanced governance capabilities through both open source and PAIG Cloud.
Whether your organization deploys GenAI internally or launches AI-powered products externally, PAIG gives you the tools to innovate quickly while maintaining security and control.
In short, PAIG helps organizations move fast while staying safe.
About PAIG
The creators of Apache Ranger™ founded PAIG to help organizations secure and govern modern AI systems.
Today, Fortune 500 companies across finance, healthcare, retail, and other industries trust PAIG to manage secure and compliant AI access.
Our mission is simple: deliver governed, secure, and compliant access to data and AI so organizations can innovate with confidence.