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
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About This Publication
Best LLM Scanners compares LLM security scanning tools — Garak, PyRIT, promptmap, and the growing field of vendor-specific scanners — on coverage, detection rates, ease of use, and integration into CI/CD pipelines.
Security engineers, MLSecOps practitioners, and developers who need to integrate LLM security scanning into their build and evaluation pipelines before attackers find the gaps.
What we cover
- LLM scanner comparisons with reproducible benchmarks
- Coverage gap analysis across attack categories
- CI/CD integration walkthroughs
- Open-source vs. commercial scanner tradeoffs
- Scanner output interpretation and triage guidance
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