agent-hardening

To secure an LLM agent against prompt injection and memory manipulation, apply runtime scanning rules, input/output validation patterns, and a defense-in-depth checklist aligned with the OWASP LLM Top 10 to detect and block hidden directives and memory tampering.

Unicode smuggling in LLM security is an attack vector using hidden or manipulated characters to embed malicious directives. It is detected by applying runtime input validation patterns and scanning rules during external content processing to identify and block suspicious character payloads.

To audit agent memory and prompts for supply-chain poisoning, execute periodic security audits using a structured defense checklist. This process scans ongoing agent memory and third-party skill reviews to detect credential exposure, hidden directives, and memory manipulation vulnerabilities.

Yes, this agent hardening approach protects against credential exposure during runtime processing by applying strict input/output validation patterns. These rules scan external content and third-party skill executions to prevent data leakage and identify exposed credentials.

You should apply OWASP LLM Top 10 security checks during third-party skill reviews, runtime processing of external content, and ongoing periodic security audits. This ensures continuous defense-in-depth coverage against evolving prompt injection and supply-chain threats.