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Breach 20/20
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ISBN10: 153953751X
ISBN13: 9781539537519
Publisher: Createspace Independent Publishing Platform
Published: Jan 4 2017
Pages: 238
Weight: 0.71
Height: 0.50 Width: 6.00 Depth: 9.00
Language: English
ISBN13: 9781539537519
Publisher: Createspace Independent Publishing Platform
Published: Jan 4 2017
Pages: 238
Weight: 0.71
Height: 0.50 Width: 6.00 Depth: 9.00
Language: English
As long as information has value, the threat will evolve. Nine years after Breach 20/20 first showed organisations how breaches actually happen, the threat has evolved further than anyone predicted: AI systems now read your data, make your decisions, and act on your behalf. Part One remains the practitioner's playbook that made the first edition a staple: threat exposure, risk appetite, patch and vulnerability management, secure by design, security testing, supplier assurance, and what to do on breach day - with the checklists that make it actionable. Part Two is entirely new: security for the AI era. - How the breach model changes when the model is a predictor, not a mind
- Prompt injection, jailbreaks, and data and model poisoning - and what actually helps
- AI agents, the Model Context Protocol, and where the trust boundaries really are
- The standards you need: OWASP, NIST, ISO, MITRE ATLAS and the EU AI Act, in plain English
- Hands-on labs, an AI security checklist, and a standards crosswalk for your compliance team Raza Sharif FBCS, CISSP, CSSLP has spent over two decades securing enterprise and government systems, and is the author of the Agent Audit Trail standard for AI agent evidence. This is security writing from someone who has carried the pager: direct, practical, and honest about what can and cannot be prevented. ABOUT THE AUTHOR Raza Sharif FBCS, CISSP, CSSLP is one of the UK's most experienced security practitioners and a leading voice in AI agent security. Over two decades he has led security architecture for UK Government and major financial institutions, including national-scale programmes across justice, policing, welfare and banking - accountability under real consequence: breaches, regulators, public money. He co-led OWASP AISVS v1.0, the AI Security Verification Standard, and contributed to the OWASP MCP Security Cheat Sheet. He is the founder of CyberSecAI Ltd and creator of AgentPass, the AI agent identity and trust platform - giving every AI agent a verifiable cryptographic identity, graduated trust levels, and a tamper-evident record of every action it takes. His standards work includes fourteen IETF Internet-Drafts on autonomous AI security, among them the Agent Audit Trail (the evidence-grade record format for AI agent actions, at aat-standard.org) and the first IETF Internet-Draft securing the Model Context Protocol, whose analyzer was merged into Cisco AI Defense's MCP Scanner. His research paper, The Reproducibility Criterion for Machine-Generated Evidence, defines when an AI decision can be independently verified - work delivered at the Ettore Majorana Foundation in Erice and developed with scholars of law and comparative justice. He is a credited discoverer of published CVEs in the AI agent ecosystem, holds a cyber-forensics qualification, and has filed over thirty UK patent applications in AI agent trust and security. He writes at razasharif.substack.com. He lives in London. This is his second book. Cybersecurity and AI Architecture Executive of the Year 2026
https: //c-suiteinsider.com/award-winner-2026/raza-al-rehman-sharif-cybersecai
- AI agents, the Model Context Protocol, and where the trust boundaries really are
- The standards you need: OWASP, NIST, ISO, MITRE ATLAS and the EU AI Act, in plain English
- Hands-on labs, an AI security checklist, and a standards crosswalk for your compliance team Raza Sharif FBCS, CISSP, CSSLP has spent over two decades securing enterprise and government systems, and is the author of the Agent Audit Trail standard for AI agent evidence. This is security writing from someone who has carried the pager: direct, practical, and honest about what can and cannot be prevented. ABOUT THE AUTHOR Raza Sharif FBCS, CISSP, CSSLP is one of the UK's most experienced security practitioners and a leading voice in AI agent security. Over two decades he has led security architecture for UK Government and major financial institutions, including national-scale programmes across justice, policing, welfare and banking - accountability under real consequence: breaches, regulators, public money. He co-led OWASP AISVS v1.0, the AI Security Verification Standard, and contributed to the OWASP MCP Security Cheat Sheet. He is the founder of CyberSecAI Ltd and creator of AgentPass, the AI agent identity and trust platform - giving every AI agent a verifiable cryptographic identity, graduated trust levels, and a tamper-evident record of every action it takes. His standards work includes fourteen IETF Internet-Drafts on autonomous AI security, among them the Agent Audit Trail (the evidence-grade record format for AI agent actions, at aat-standard.org) and the first IETF Internet-Draft securing the Model Context Protocol, whose analyzer was merged into Cisco AI Defense's MCP Scanner. His research paper, The Reproducibility Criterion for Machine-Generated Evidence, defines when an AI decision can be independently verified - work delivered at the Ettore Majorana Foundation in Erice and developed with scholars of law and comparative justice. He is a credited discoverer of published CVEs in the AI agent ecosystem, holds a cyber-forensics qualification, and has filed over thirty UK patent applications in AI agent trust and security. He writes at razasharif.substack.com. He lives in London. This is his second book. Cybersecurity and AI Architecture Executive of the Year 2026
https: //c-suiteinsider.com/award-winner-2026/raza-al-rehman-sharif-cybersecai
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