Long-form Research

Books

Research that goes deeper — book-length treatments of AI security engineering, governance, and practice.

2026 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.

754,507

Job descriptions analyzed

27,260

Companies analyzed

Chapters

Role archetypes mapped

Read the report Download PDF

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.

12 Chapters90 days Execution planAI-era Threat models2026 Edition

AI Security Engineering Handbook

A structured study companion for AI security engineering practitioners, candidates, and teams covering foundations, role architecture, domain vocabulary, controls, evidence, assessment, and operating-model design.

14 ChaptersStudy Companion14 AIPSA domainsGlossary + Primer Included

AI Security Engineering Field Guide

Applied practitioner playbooks for securing LLM applications, RAG systems, agents, AI workflows, model supply chains, MLOps platforms, and governance evidence.

14 Domains12+ Artifact typesField Practitioner useFree Open access