Long-form Research

Publications

Original research and practitioner reference material covering AI security engineering, product security, governance evidence, and operating-model execution.

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Flagship report

Featured2026 Edition

The State of AI Security Engineering Report 2026

What companies are actually hiring for when they say "AI Security Engineer" — a ground-truth analysis of job descriptions, a practitioner-built skills taxonomy, governance maturity mapping, and the evidence base for a discipline worth naming.

300,000+

Job descriptions analyzed

Named findings

Role archetypes mapped

385+

Survey respondents

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Free companion volumes

Mythos Report

AI Product Security in the Age of Mythos

A post-Mythos product-security operating model for leaders who need to inventory AI systems, threat-model agentic products, gate releases, monitor evidence, and close the boardroom-to-backlog gap at machine speed.

17 Chapters90 days Execution planAI-era Threat models2026 Edition

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Practitioner Handbook

AI Security Engineering Handbook

A fourteen-chapter practitioner reference aligned to the 14 AIPSA assessment domains — from AI system inventory and threat modeling to detection engineering, incident response, and governance evidence. Designed for engineers building and securing AI systems in production.

14 Chapters112 Checklist items14 AIPSA domainsField kit Templates included

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Field Guide

AI Security Engineering Field Guide

A fourteen-domain assessment companion covering the full AI security engineering skill map. Built for practitioners preparing for certification, transitioning into AI security, or establishing a shared vocabulary across teams.

14 Domains140+ Study checklist items56+ Misconceptions addressedFree Open access

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