Agentic AI Security Audits

FYEO's Agentic AI Security Audit service provides comprehensive security evaluations for autonomous AI systems that can reason, plan, and interact with tools and knowledge bases. This specialized service addresses the unique security challenges posed by agentic systems that retrieve internal data, chain tool use, execute commands, and persist state across interactions.

The Agentic AI Security Challenge

Agentic AI systems—autonomous software agents with advanced capabilities—are transforming how organizations automate workflows and augment decision-making. However, these systems introduce new security risks including adversarial prompts, ambiguous context handling, unsafe tool use, and unintentional leakage of sensitive information. FYEO's world-leading experts in agentic AI security use proprietary tooling and models to test and analyze these systems for vulnerabilities.

Structured Approach to Agentic AI Auditing

FYEO employs a comprehensive three-phase methodology tailored specifically for agentic systems:

Threat Modeling

A threat model is a crucial first step in implementing comprehensive security for agentic AI systems. FYEO helps organizations proactively identify and address potential security issues specific to autonomous agents, including prompt injection risks, context poisoning, tool misuse, and data leakage vectors.

Code Reviews

Senior security engineers test and analyze agentic AI systems for potential vulnerabilities in code base, logic, and functionality. FYEO's approach is optimized for modern AI development stacks including LangChain, AutoGen, CrewAI, custom agent frameworks, and RAG (Retrieval-Augmented Generation) pipelines. The team examines how agents handle external inputs, manage state, control tool access, and protect sensitive data.

Simulated Red Team Testing

FYEO conducts realistic cyberattacks specifically targeting agentic AI systems to evaluate defenses, identify vulnerabilities, and strengthen organizational security posture. This includes adversarial prompt testing, context manipulation attempts, tool abuse scenarios, and data exfiltration simulations.

Audit Objectives

When FYEO performs an agentic AI audit, the focus is on the system at a specific point when feature complete. The goals include: verification that project intentions align with code implementation, improved understanding of security standing to identify current and future risks in deployed AI infrastructure, assessment of existing security measures and their maturity and efficiency, identification of potential issues including data breach scenarios with remediation recommendations, and insight for development teams on maintaining secure agentic AI code.

Expertise and Capabilities

FYEO maintains some of the world's leading experts in agentic AI security, combining deep knowledge of both AI systems and cybersecurity. The team uses proprietary tooling and models specifically designed for testing autonomous agent systems, ensuring comprehensive coverage of the unique attack surface presented by agentic AI.

Web3 AI Integration Focus

This service is particularly relevant for Web3 organizations integrating AI agents into decentralized applications, on-chain AI model deployment, AI-powered smart contract interactions, and decentralized AI networks. FYEO ensures these cutting-edge AI integrations maintain the security standards required for blockchain-based systems.