Check Point Lakera Red vs FYEO Agentic AI Security Audits: Side-by-Side Comparison (2026)

Check Point Lakera Red

Security teams building or deploying generative AI applications need Check Point Lakera Red to find prompt injection and data exfiltration vulnerabilities before attackers do, because it tests both direct manipulation and backdoor injection paths that static analysis misses. The tool maps directly to ID.RA and ID.AM under NIST CSF 2.0, meaning it closes the specific gap most organizations have around GenAI risk assessment and asset inventory. Skip this if your priority is legacy application security or if you're not yet shipping LLM features; the Gandalf community threat intelligence is valuable only if you're actively iterating on GenAI products.

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.