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Engineering Secure and Responsible Enterprise-Grade Agentic AI Systems. A practical blueprint for designing, governing, and securing enterprise-grade AI agents Adnan Masood, Heather Dawe

(ebook) (audiobook) (audiobook) Język publikacji: angielski
Engineering Secure and Responsible Enterprise-Grade Agentic AI Systems. A practical blueprint for designing, governing, and securing enterprise-grade AI agents Adnan Masood, Heather Dawe - okladka książki

Engineering Secure and Responsible Enterprise-Grade Agentic AI Systems. A practical blueprint for designing, governing, and securing enterprise-grade AI agents Adnan Masood, Heather Dawe - okladka książki

Engineering Secure and Responsible Enterprise-Grade Agentic AI Systems. A practical blueprint for designing, governing, and securing enterprise-grade AI agents Adnan Masood, Heather Dawe - audiobook MP3

Engineering Secure and Responsible Enterprise-Grade Agentic AI Systems. A practical blueprint for designing, governing, and securing enterprise-grade AI agents Adnan Masood, Heather Dawe - audiobook CD

Autorzy:
Adnan Masood, Heather Dawe
Ocena:
Prompt injection, tool misuse, memory poisoning, data exfiltration, and uncontrolled autonomy are not theoretical risks. They're active concerns for any team moving agents from prototype to production.
This hands-on guide shows how to build, harden, and operate agentic AI in enterprise environments. Adnan Masood and Heather Dawe bring together agent engineering, security, and governance in one practical playbook.
You’ll classify agent use cases by risk, autonomy, and reversibility, design reliable agent loops with structured I/O and tool calling, ground actions with RAG and provenance controls, secure tools with least-privilege access and approval gates, and manage memory with redaction, rollback, and drift detection. The book also covers threat modeling, policy-as-code guardrails, red teaming, observability, incident response, and alignment with emerging standards and regulation. A running capstone project — CASA((Customer-facing Agentic Service Assistant) — and the TrustStack AI GRC toolkit make each pattern practical and reusable across enterprise scenarios.
By the end, you'll have the architecture patterns, security controls, operational playbooks, and governance artifacts to deploy enterprise-grade AI agents with stronger trust, lower risk, and production-ready confidence.

O autorach książki

Adnan Masood, PhD is an artificial intelligence and machine learning researcher, visiting scholar at Stanford AI Lab, software engineer, Microsoft MVP (Most Valuable Professional), and Microsoft's regional director for artificial intelligence. As chief architect of AI and machine learning at UST Global, he collaborates with Stanford AI Lab and MIT CSAIL, and leads a team of data scientists and engineers building artificial intelligence solutions to produce business value and insights that affect a range of businesses, products, and initiatives.
Heather Dawe, MSc. is a renowned data and AI thought leader with over 25 years of experience in the field. Heather has innovated with data and AI throughout her career, highlights include developing the first data science team in the UK public sector and leading on the development of early machine learning and AI assurance processes for the National Health Service (NHS) in England. Heather currently works with large UK Enterprises, innovating with data and technology to improve services in the health, local government, retail, manufacturing, and finance sectors. A STEM Ambassador and multidisciplinary data science pioneer, Heather also enjoys mountain running, rock climbing, painting, and writing. She served as a jury member for the 2021 Banff Mountain Book Competition and guest edited the 2022 edition of The Himalayan Journal. Heather is the author of several books inspired by mountains and has written for national and international print publications including The Guardian and Alpinist.

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