Entersoft AI Application Security Testing (AIAST) vs FYEO Agentic AI Security Audits: 2026 Comparison

Entersoft AI Application Security Testing (AIAST)

Teams deploying LLM and RAG applications need Entersoft AI Application Security Testing to catch prompt injection and data poisoning attacks before they reach production; most AST vendors still treat AI as an afterthought, but AIAST maps directly to OWASP LLM Top 10 and NIST AI RMF 1.0, which means your threat model and findings actually align with frameworks your board understands. The platform covers ID.RA and PR.PS functions with adversarial testing that simulates real attack chains against autonomous agents, not just isolated prompts. Skip this if you're looking for general application scanning that happens to include AI; AIAST requires you to think specifically about LLM risk, which is a feature, not a limitation.

FYEO Agentic AI Security Audits

Enterprise security teams deploying LangChain, AutoGen, or CrewAI agents need FYEO Agentic AI Security Audits because it's the only service that combines manual code review with simulated red team testing specifically built for agentic systems, catching prompt injection and unsafe tool use patterns that generic AI security scanners miss. The on-premises deployment and threat modeling framework cover NIST ID.RA and ID.AM, meaning you get asset context and risk quantification rather than just vulnerability lists. Skip this if your agents are still in POC phase or if you need continuous automated scanning; FYEO is a point-in-time audit service, not a monitoring platform.