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Advanced Threat Modeling and Red Teaming for Agentic AI Systems: Identify, Simulate, and Defend Against Real-World Attacks on AI Agents, Multi-Agent S
Paperback
General ComputersComputer Security
Publisher: Independently Published
Published: Jun 4 2026
Pages: 324
Weight: 1.24
Height: 0.68 Width: 7.00 Depth: 10.00
Language: English
What advantages will you gain by engineering your security framework from the ground up? This manual equips platform architects, security engineers, and DevSecOps teams with the exact technical skills required to build an automated, self-healing defensive lifecycle.
By implementing the production-grade methodologies detailed inside, you will acquire the skills to:
- Build stateful autonomous red team agents to programmatically simulate complex, multi-turn adversarial cascades.
- Embed declarative automated fuzzing and prompt regression scanners directly into containerized CI/CD pipelines as mandatory release quality gates.
- Inject semantic faults and behavioral noise to evaluate multi-agent swarm resilience and configure robust infrastructure circuit breakers.
- Decouple tool execution privileges from volatile model logic using relationship-based access control models.
- Harden human-in-the-loop approval interfaces against context-spoofing and parameter manipulation exploits.
- Establish weighted risk quantification frameworks that translate probabilistic alignment flaws into deterministic business risk metrics.
Buy your copy now to deploy production-grade defense validation across your enterprise platform.
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