Malik Holt

Look for vendors who prove they meet your audit requirements and find real exploitable weaknesses.

Whitebox testing must examine how money moves, not just whether data leaks.

Engineering teams need pen test findings routed into their actual workflows to verify fixes.

Fixing one vulnerability at a time guarantees the class will reappear elsewhere.

Business logic flaws require human judgment that AI cannot provide.

AI-native testing maps entire systems continuously, but human experts must validate every finding.

AI agents handle continuous testing where annual pen tests leave months of code untested.

Tracing untrusted data through code reveals exploits that pattern matching misses.

Single-file scanners miss the real vulnerabilities; cross-file analysis catches them.

Indirect prompt injection poses the highest risk to production AI agents handling sensitive data.

Agent frameworks need forensics that catch what happens when everything looks fine.

Annual pen tests miss 70% of your attack surface between engagements.

How to audit third-party API integrations before they become a security breach vector.