C5 and OWASP LLM Top 10: Security Controls for Agentic AI

OWASP LLM Top 10 gives security teams a threat model for LLM applications. C5-style controls help turn that threat model into auditable cloud and platform controls. For agentic AI, the mapping is especially useful because the model can trigger real actions through tools.

Risk-to-Control Mapping

• Prompt injection: content isolation, tool allowlists, policy validation, suspicious trace monitoring
• Sensitive information disclosure: RAG authorization, output filtering, prompt retention limits, log access controls
• Supply chain risk: model provider review, package scanning, tool registry approval, dependency inventory
• Excessive agency: approval tiers, scoped tokens, action limits, kill switches
• Model denial of service: rate limits, quotas, circuit breakers, cost alerts, timeout controls
• Insecure output handling: output validation before executing code, SQL, shell commands, or workflow actions

Evidence That Matters

For each risk, keep proof that the control operates: denied tool calls, prompt injection test cases, red-team findings, remediation tickets, policy versions, monitoring alerts, and incident drill results.

Bottom Line

OWASP identifies what can go wrong. C5-style control design helps prove how the platform prevents, detects, responds to, and recovers from those failures.