FYEO Agentic AI Security Audits is a professional security auditing service focused on identifying vulnerabilities in agentic AI systems — autonomous software agents capable of reasoning, planning, executing shell commands, chaining tool use, and persisting state across interactions. The service follows a structured auditing methodology consisting of three core components: **Threat Modeling** Proactive identification and documentation of potential security risks within the client's agentic AI architecture, forming the foundation of a comprehensive security program. **Code Reviews** Manual review by senior security engineers of the codebase, logic, and functionality to uncover vulnerabilities. Covers modern agentic frameworks including LangChain, AutoGen, CrewAI, custom agent frameworks, and RAG pipelines. **Simulated Red Team Testing** Realistic adversarial attack simulations designed to evaluate defenses, identify exploitable weaknesses, and assess the organization's overall security posture. Audits are conducted on feature-complete codebases. The deliverables include: - Verification that project intent aligns with code implementation - Assessment of the current security posture and identification of present and future risks - Evaluation of existing security measures for maturity, adequacy, and efficiency - Identification of potential issues (including data leakage and unsafe tool use) with remediation recommendations - Guidance for development teams on writing and maintaining more secure agentic AI code