AI Agent Security: Stop Model Exfiltration and API Key Leaks

Short summary

AI agents expand the security perimeter by calling tools, querying databases, and communicating with external services, creating paths for model exfiltration and credential leakage. The article recommends keeping secrets out of prompts, using short-lived tokens with least-privilege permissions, and treating all inputs as untrusted data. Graph-based trust analysis via the open-source TrustGraph project can reveal transitive permission exposures that individual configuration reviews miss.

• •Never embed secrets in agent prompts or memory; use dedicated secrets managers with narrowly scoped tool interfaces
• •Apply egress allowlists, rate controls, response-size limits, and automated secret scanning at every external boundary
• •Use graph-based trust analysis to identify transitive permission exposures across agents, tools, and data sources

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