Research · Publications

Research-backed AI security engineering.

Practical research, field guides, control mappings, and local-first assessment tools — structured around the MADE methodology and built for teams producing engineering-ready remediation and review-ready evidence.

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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.

12 Chapters90 days Execution planAI-era Threat models2026 Edition

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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

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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

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