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

Daniel Park also writes for:

About This Publication

AI Sec Reviews publishes hands-on evaluations of AI security products and platforms — deployed against real attack libraries, measured on detection and false positive rates, and assessed on integration complexity and operational overhead.

Security engineers, team leads, and security architects evaluating tools for securing AI systems in production. Reviews are practitioner-written, vendor-neutral, and include honest assessments of where products fall short.

What we cover

Hands-on product reviews with real attack testing
Detection and false positive rate measurement
Integration complexity and operational overhead assessment
Vendor-neutral comparison across competing products
Coverage of scanners, guardrails, red-team frameworks, and eval harnesses

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