Overview
We have spent years teaching AI systems to act. We have spent almost none teaching them when to stop.
Autonomous agents now decide and execute at machine speed - calling tools, writing to shared memory, taking consequential actions - and the defenses we deploy around them read what a model says and guess whether it looks dangerous. They cannot see how a system was compromised. They judge the output and miss the mechanism.
The Execution Boundary makes the case for a different layer entirely: a verifiable boundary between an AI's judgment and its real-world consequence. Every input has to earn its way in on evidence. Every computation is watched for the statistical footprint of an attack. Every consequential action is gated and sealed into a tamper-evident record - one a third party can verify later, without trusting the model that produced it.
Drawing on working machinery - an evidence-verification engine, a runtime circuit breaker, a cryptographic audit trail, and a conformance standard - this book builds the architecture perimeter by perimeter, from the first poisoned input to the final signed receipt. It is deliberately honest about what is proven, what is calibrated, and what remains hard. It refuses the hype that sinks most AI-security writing: nothing here is "un-bypassable," nothing "secures the next hundred years." What it offers is sturdier - brakes good enough to let autonomy finally run fast, and safely.
For the engineers, security leaders, and decision-makers who will have to build the controls that come next, The Execution Boundary is both a warning and a blueprint: connection is solved; trust is not.
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9798996565214
- ISBN-10: 9798996565214
- Publisher: Odingard Security
- Publish Date: June 2026
- Dimensions: 9 x 6 x 0.17 inches
- Shipping Weight: 0.27 pounds
- Page Count: 84
Related Categories
