Skip to content

Booksellers & Trade Customers: Sign up for online bulk buying at trade.atlanticbooks.com for wholesale discounts

Booksellers: Create Account on our B2B Portal for wholesale discounts

Agentic AI Security: Threat Modeling, Red-Teaming and Defenses for Autonomous Systems: Adversarial testing, sandboxing, runtime controls, alignment ch

by Marcus Endo
Sold out
₹2,090.00
Original price ₹2,090.00
Original price ₹2,090.00
₹2,090.00
Current price ₹2,090.00

Imported Edition - Ships in 18-21 Days

Free Shipping in India on orders above Rs. 500

Request Bulk Quantity Quote
+91
Book cover type: Paperback
  • ISBN13: 9798264802751
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 328
  • Original Price: USD 20.0
  • Language: English
  • Edition: N/A
  • Item Weight: 572 grams
  • BISAC Subject(s): Artificial Intelligence / Natural Language Processing

A security-first book that unpacks the unique attack surface of agentic systems and offers pragmatic defenses. Deep dives into prompt injection, jailbreaks, data exfiltration via tool chains, supply-chain threats, poisoning, and privilege escalation through plugin/tool connectors. Provides red-teaming frameworks, automated fuzzing approaches, runtime anomaly detection, sandboxing patterns, secure defaults for tool invocation, and compliance templates for auditing agent behavior.
Who this book is for

  1. Security engineers and red-teamers testing AI systems.
  2. MLOps and SREs responsible for secure LLM deployments.
  3. Compliance officers and risk managers overseeing AI governance.
  4. Developers and platform teams integrating third-party tools into agents.
What the reader will learn
  1. How to build threat models specific to agentic architectures.
  2. Red-team methodologies: prompt fuzzing, tool exploitation tests, and scenario-based attacks.
  3. Defensive patterns: sandboxed execution, least-privilege connectors, and capability gating.
  4. Runtime monitoring: anomaly detection, signals, and automated rollback strategies.
  5. Audit trails, logging, SLOs for safety, and regulatory compliance considerations.
  6. Incident response playbooks for model misuse and data leak scenarios.

Trusted for over 49 years

Family Owned Company

Secure Payment

All Major Credit Cards/Debit Cards/UPI & More Accepted

New & Authentic Products

India's Largest Distributor

Need Support?

Whatsapp Us