AI Agent Security: What You Need to Know
Best practices for securing AI agents in production environments. Learn about rate limiting, action budgets, circuit breakers, and safety controls for AI infrastructure access.
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Watch NowOverview
AI agents are increasingly being deployed to automate infrastructure operations, from database queries to deployment pipelines. However, granting AI agents privileged access introduces unique security challenges that traditional identity and access management systems weren't designed to handle.
This webinar explores the emerging security landscape for AI agents accessing production infrastructure. You'll learn how to implement safety controls that prevent runaway operations, limit blast radius, and maintain human oversight while enabling AI-powered automation at scale.
What You'll Learn
- Unique security challenges of AI agent infrastructure access
- Implementing rate limits and action budgets for AI agents
- Circuit breakers for anomaly detection and auto-revocation
- Resource scoping and explicit allowlists for AI operations
- Audit logging and explainability for AI agent actions
- Integration with Model Context Protocol (MCP) for secure tool access
Key Topics Covered
- •AI agent identity and authentication patterns
- •Short-lived certificates for AI agents (1-hour TTL)
- •Rate limiting: requests per second and operations per hour
- •Action budgets: maximum operations per session
- •Resource scopes: explicit allowlists vs. deny-by-default
- •Circuit breakers: auto-revoke on anomalous behavior
- •Audit context: requiring "reason" for all AI actions
- •Session recording for AI agent operations
- •Model Context Protocol (MCP) integration
- •Real-world case studies: ChatGPT, Claude, custom agents
- •Future trends in AI agent security
Why This Matters Now
As AI agents become more autonomous and capable, the security implications of granting them infrastructure access become critical. This webinar addresses:
- • The rise of AI-powered DevOps and SRE automation
- • Regulatory requirements for AI system access controls
- • Insurance and liability considerations for AI operations
- • Preventing AI-induced outages and security incidents
Featured Speaker
Dr. Alex Kumar
AI Security Researcher
Dr. Kumar leads AI safety research with a focus on secure infrastructure access for autonomous agents. He has published extensively on AI security controls and governance frameworks.
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