AI Security Engineering
Security for AI systems — not AI as a security tool. The engineering discipline for designing, building, and securing dependable AI in production.
AI changes the assumptions traditional security was built on. This book applies security engineering principles to modern AI systems — threat models, secure pipelines, runtime detection and response, governance at scale, and agentic systems — without becoming the department of no.
// WHAT SECURITY LEADERS ARE SAYING
“AI Security Engineering captures what every CISO defending AI in production already feels: traditional controls assume stability, but AI systems are continuously evolving and increasingly autonomous. Ashish reframes security as a property engineered into pipelines, runtime, and the execution paths where inference becomes reified action—the practical mental model security leaders need to design, govern, and contain AI at enterprise scale.”
“AI Security Engineering cuts through the hype and gets to what actually matters: how AI systems behave in production, and why traditional security models weren't built for them. Ashish Rajan reframes security as an architecture and product decision — not a control layer — giving CISOs and builders a rigorous mental model for governing, operating, and containing AI systems at runtime to scale safely.”
“Most AI security writing tells you what's scary. Ashish tells you what to build. The first book that treats AI security as an engineering discipline instead of a threat catalog.”
“This book cuts through the hype around AI security and focuses on what actually matters: how AI systems behave, fail, and must be governed in production. A must-read for CISOs, security architects, and engineering leaders preparing for the next generation of security challenges.”
“As we can expect from Ashish, he's put out a book on securing AI that sees the issue as a systems problem instead of one-dimensional. Great coverage here for all the major considerations in this fast-moving field.”
A durable reference for building dependable AI systems at enterprise scale.
Where to invest in AI security, how governance scales, and how to evolve an existing program without slowing delivery.
Threat models and architecture patterns for systems where the model's behavior is part of the attack surface.
Secure pipelines, runtime detection, and incident response for AI systems that are live and continuously changing.
Launch events, Black Hat week.
Five chances to grab a signed copy and talk AI security in person. RSVP links below — some events require approval.
10:30AM–11:00AM
12:00PM–01:00PM
08:30AM–10:30AM
07:00PM–10:00PM
11:00AM–12:00PM
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