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What frameworks are you putting in place to handle the safety, security, and compliance implications of autonomous AI agents acting within your product?

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2 Answers
AI Product Management
  1. Ashka Vakil
    Ashka Vakil

    strongDM Sr. Director, Product Management • 2mo

    At StrongDM, we approach safety, security, and compliance for autonomous agents by treating them like any other privileged actor in the system. The core principle is simple. AI agents should operate with a clear identity, least privilege, and full auditability. Without that, enterprise adoption does not happen. Here are the key frameworks we are putting in place: Strong identity and scoped access Every agent has a clear identity, not a shared or implicit one. We use mechanisms like StrongID and ...Read More

    369 Views
  2. Mona Salvi
    Mona Salvi

    Capital One Director, Product • 4mo

    Managing safety, security, and compliance for autonomous AI isn’t fundamentally different from how we approach secure coding or product security today, it’s the same mindset applied to systems that can act autonomously. A source I strongly suggest organizations to reference as they design AI systems is the NIST AI Risk Management Framework (AI RMF 1.0). It provides a practical structure for this approach, emphasizing that trustworthy AI should be safe, secure, and resilient and accountable and t ...Read More

    1,302 Views

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