Security & Privacy

  1. How NVIDIA OpenShell Reference Architecture Secures and Governs AI Agent Workloads at Scale

    NVIDIA's OpenShell Reference Architecture is designed to secure and govern AI agent workloads at scale. These autonomous agents can perform complex tasks, access files, tools, the internet, and even spawn other agents, which increases risks such as downloading code and requesting additional privileges. The architecture helps manage these risks.

    developer.nvidia.comAdded

  2. Inside NVIDIA Sentry: Secure AI Agents at Runtime

    NVIDIA Sentry is a security software framework designed to monitor AI agents and prevent them from crossing security boundaries. It operates outside the agent's reach to ensure they cannot alter or disable it, enhancing the security of AI systems.

    developer.nvidia.comAdded

  3. Amazon Bedrock

    How Octave built a secure multi-tenant AI foundation on Amazon Bedrock

    Octave has built a secure, multi-tenant AI foundation on Amazon Bedrock, utilizing Cohere Embed v4 for embeddings and Amazon Bedrock AgentCore for isolated agent execution. This setup supports a Complaint Triage Assistant that searches 2 billion regulated documents without crossing tenant boundaries.

    aws.amazon.comAdded

  4. Advanced (300)

    Securing AI agent identity with X.509 PKI on AWS

    The article discusses securing AI agent identity using X.509 PKI on AWS, leveraging Keyfactor EJBCA and AWS services. It details a reference architecture that uses signed request envelopes, user-signed delegation assertions, RFC 8693 audience-scoped tokens, and real-time OCSP revocation to ensure agent identity and prevent request forgery.

    aws.amazon.comAdded