Ensuring Responsible AI with AI TRiSM: Trust & Security Management 

As AI continues to evolve, it’s crucial to ensure it remains trustworthy, secure, and well-managed. That’s where AI TRiSM (AI Trust, Risk, and Security Management) comes in—a framework by Gartner to address AI governance. 

AI TRiSM covers four key areas: 

• Explainability & Monitoring: Making AI decisions clear and transparent. 
• ModelOps: Regular testing and updates post-deployment. 
• AI Application Security: Safeguarding models from cyber threats. 
• Privacy: Protecting sensitive data with strong governance. 

In today’s world where everything is coming under the blanket of AI, we also need to know about the risks like bias, security issues, and privacy concerns in it. AI TRiSM helps ensure AI systems are ethical, secure, and aligned with your organization’s values. 

  

The AI TRiSM is mainly useful for the industries which develops products like Facial Recognition, Autonomous Vehicles, Fraud Detection, etc. Implementing AI TRiSM is vital for building trustworthy AI that meets legal and ethical standards. 

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