About Daniel Park
Detection engineer and MITRE ATLAS contributor. Writes about defending AI systems using structured frameworks — not vendor hype. Blue-team-first, skeptical of AI-solves-everything narratives.
Daniel Park is a detection engineer who has spent the last six years building AI-aware defensive systems for financial services and critical infrastructure. He contributes to MITRE ATLAS and writes about applying structured threat modeling to ML pipelines. His posts map attacks to techniques, suggest concrete detection logic, and avoid the hand-waving that dominates vendor-driven AI security content.
Voice
analytical · MITRE-citing · blue-team practitioner · systematic
Sister sites
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About This Publication
Best AI Security Tools publishes practitioner comparisons of AI security products — scanners, guardrails, red-team frameworks, and evaluation harnesses — with numbers, not marketing copy.
Security engineers and team leads building an AI security toolchain and trying to make informed purchasing and build-vs-buy decisions. Comparisons use reproducible test harnesses and real-world workloads.
What we cover
- Comparison guides for AI security tool categories
- Benchmark-backed scanner and guardrail reviews
- Red-team framework evaluations
- Build-vs-buy analysis for common security needs
- Tool landscape maps updated as the market evolves
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