Buch, Englisch, 280 Seiten, Format (B × H): 178 mm x 254 mm
The Adversarial Mindset
Buch, Englisch, 280 Seiten, Format (B × H): 178 mm x 254 mm
Reihe: Security, Audit and Leadership Series
ISBN: 978-1-041-20056-7
Verlag: Taylor & Francis Ltd
Guiding security leaders and executives who hold the privilege of defending modern organizations, “The CISO Playbook - The Adversarial Mindset” is a leadership-focused blueprint for outmaneuvering adversaries that iterate relentlessly. In an era where attackers view corporate defenders as “dumb, weak, and ineffective” due to organizational drag and over-reliance on static tools, this book empowers leaders to reclaim the initiative by adopting a true adversarial mindset.
Harnessing the concept of Decision Advantage, the book moves beyond treating incidents as isolated technical events by thinking in adversary terms: objectives, constraints, and tradecraft. It bridges the gap between attacker methods and board-level risk, showing how to translate security outcomes into the language of economics, EBITDA, and revenue protection.
Operationalizing lessons from real-world campaigns like SolarWinds, Volt Typhoon, and Operation Aurora, the text connects tradecraft to operational reality. It introduces the unique metric of Time-to-Hazard Neutralization, moving past ticket metadata to focus on the verified removal of risk from the environment.
Spotlighting the rise of the “Artificial Adversary,” a central thread details how AI-enhanced human actors and autonomous systems act with malicious intent. From industrialized “vibe hacking” to active scanning and autonomous reconnaissance, the book reveals how AI accelerates the attacker’s OODA loop and how CISOs must respond by compressing their own defensive cycles.
Translating theoretical models into repeatable methods, the text provides strategies for terrain engineering, deception, and resilience-centric incident response. Written for CISOs, deputies, and security leaders, it serves those who both brief members of C-Suites and boards and also run outcome-based programs. Instead of remaining a reactive enforcer, readers will find a blueprint for becoming a proactive Enterprise Risk Leader. Navigating this shift ultimately rewards the disciplined observation required to outthink the opponent.
Zielgruppe
Professional Practice & Development, Professional Reference, and Professional Training
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Schadprogramme (Viren, Trojaner etc.)
- Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Management: Führung & Motivation
- Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Kryptographie, Datenverschlüsselung
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
Weitere Infos & Material
Chapter 1 - The Need to Understand the Adversary: 1.1 How Cyber Adversaries View Defenders, 1.2 Who Are the Adversaries?, 1.3 The Psychology of the Cyber Adversary, 1.4 Threat Intelligence and Adversary Analysis, 1.5 How to Adopt an Adversarial Mindset, 1.6 Benefits of Adopting an Adversarial Mindset, 1.7 Adversary Anecdote - MAC Attack at 30,000 Feet, 1.8 Historical Case Studies in Adversarial Thinking, 1.9 Case Study - The SolarWinds Attack (2020), 1.10 Understanding the Adversary as a Strategic Imperative, 1.11 Conclusion, References; Chapter 2 - The Motivations of Attackers: 2.1 The Psychological Drivers of Cybercrime, 2.2 The Forensic Psychology Perspective on Cybercriminals, 2.3 Socioeconomic and Cultural Factors of Cybercrime, 2.4 Case Study - The Twitter Hack (2020), 2.5 The Evolution of Cyber Threat Actors, 2.6 Adversary Anecdote - Boast, Toast, and Breach, 2.7 Leveraging the Adversarial Mindset, 2.8 Conclusion, References; Chapter 3 - Cognitive Biases and Decision-Making in Cyber Warfare: 3.1 Why Bias Matters to CISOs, 3.2 The Adversary’s Decision-Making Process, 3.3 Groupthink in Cybersecurity Teams, 3.4 Case Study - Operation Aurora (2009), 3.5 How CISOs Can Overcome Bias in Cybersecurity Leadership, 3.6 Adversary Anecdote - Deepfakes, Shallow Checks, 3.7 How CISOs Can Make Bias-Resistant Decisions, 3.8 Conclusion, References; Chapter 4 - The Attacker’s Toolbox – Techniques, Tactics, and Procedures: 4.1 Understanding the Attacker’s Approach, 4.2 Adversary Anecdote - Jackpot Pivot: Casino to Code, 4.3 Advanced Persistent Threats (APTs) - The Long Game, 4.4 Case Study - The Sony Pictures Hack (2014), 4.5 Building an Adversary-Focused Defense Strategy, 4.6 Conclusion, References; Chapter 5 - Acting Like an Attacker - Red Teaming for Leadership: 5.1 What Exactly is Red Teaming?, 5.2 Why CISOs Need Red Teaming in Their Security Strategy, 5.3 The Business Case for Red Teaming - Moving Beyond Compliance, 5.4 Understanding Red Teaming vs. Penetration Testing, 5.6 How CISOs Can Implement Red Teaming in Their Organizations, 5.7 Building a Realistic Adversary Simulation Program, 5.8 Integrating Adversary Simulations into Business Leadership, 5.9 Adversary Anecdote - Controls Don’t Coordinate Themselves, 5.10 Overcoming Common Challenges in Red Teaming, 5.11 Case Study - U.S. Department of Defense Cyber Table Top Exercises, 5.12 Some Examples of Red Teaming in Action, 5.13 The Future of Adversary Simulation - AI, Autonomous Agents, and the Next Frontier of Threat Emulation, 5.14 Conclusion, References; Chapter 6 - Cyber Deception and Psychological Warfare: 6.1 Cyber Deception, 6.2 Case Study - The Use of Deception Techniques in Exposing the APT1 Group, 6.3 Psychological Warfare, 6.4 Adversary Anecdote - Official Updates, Unofficial Backdoors, 6.5 Case Study - Israeli Cyber Warfare Tactics, 6.6 Conclusion, References; Chapter 7 - Breaking the Attacker’s Kill Chain: 7.1 Understanding the Cyber Kill Chain, 7.2 Disrupting the Kill Chain at Each Stage, 7.3 Adversary Anecdote - Cut the Wire, Cut the Story, 7.4 Conclusion, References; Chapter 8 - Adversary Informed Threat Intelligence - Turning Data into Action: 8.1 Understanding Threat Intelligence, 8.2 Why Threat Intelligence Fails in Many Organizations, 8.3 Adversary Anecdote - Indicators Don’t Defend, Teams Do, 8.4 Integrating Threat Intelligence into Security Operations, 8.5 Using MITRE ATT&CK for Intelligence-Driven Security, 8.6 Case Study - The Capstone Turbine Breach (2023), 8.7 Future of Cyber Threat Intelligence - AI-Driven Threat Prediction, 8.8 From Detection to Anticipation, 8.9 Conclusion, References; Chapter 9 - Adversary Informed Cyber Resilience and Incident Response: 9.1 What is Cyber Resilience?, 9.2 The Adversarial Informed Approach to Cyber Resilience, 9.3 Adversary Anecdote - Breaking News: You’ve Been Owned, 9.4 The Adversarial Informed Approach to Incident Response, 9.5 Case Study - The NotPetya Attack - A Cyber Resilience Success Story (2017), 9.6 The Role of AI in Next-Gen Incident Response, 9.7 Conclusion, References; Chapter 10 - The Artificial Adversary - AI Technologies: 10.1 AI Technologies in Cybersecurity, 10.2 Adversary Anecdote - Click Install, Ship Secrets, 10.3 Case Study - GTG-1002: The First Reported AI-Orchestrated Cyber-Espionage Campaign (2025), 10.4 Conclusion, References; Chapter 11 - The Artificial Adversary: 11.1 Offense - AI as a Weaponized Tool, 11.2 Defense - AI-Driven Capabilities and Strategies, 11.3 Autonomous Adversary - Beyond Human Control, 11.4 Case Study - RunSybil - Autonomous AI Agents Simulate Real-World Hacking (2024), 11.5 AI Governance, Security Frameworks, and Maturity Models, 11.6 Ethical and Legal Considerations, 11.7 Metrics and KPIs for AI Security Effectiveness, 11.8 Adversary Anecdote - Prompt, Paste, Profit, 11.9 Emerging Artificial Threat Trends, 11.10 Conclusion, References; Chapter 12 - The Future of the CISO as an Adversary Aware Entity: 12.1 Future Cyber Adversaries, 12.2 From Security Enforcer to Enterprise Risk Leader, 12.3 Building Decision Advantage, Not Just Defenses, 12.4 Adversary Anecdote - When the Pipes Talk, 12.5 Regulatory and Fiduciary Shifts, 12.6 Case Study - The Volt Typhoon Campaign (2023), 12.7 The Evolving Role of the CISO, 12.8 Conclusion; Appendix A - Example Adaptive IR Playbook - Ransomware With Possible Data Theft: Phase 0: Activation (T0 to T0+15m) - Containment, Phase 1: Evidence Preservation (ENTER once incident mode is declared; start by T0+60m; run in parallel through Phases 2–3), Phase 2: Initial Access and Privilege Check (start by T0+1h; checkpoint findings by T0+4h), Phase 3: Containment Hardening (ENTER after Gate A classification; begin immediately for A2 outbreaks, otherwise begin by T0+4h; core guardrails in place by T0+12h), Phase 4: Recovery Execution (begins after Gate D decision; typically ~T0+24h onward depending on scope/confidence), Phase 5: Post-Incident Improvements (T0+7d to T0+30d), Gate A: Scope Classification (complete by T0+30m), Gate B: Exfiltration / Double-Extortion Determination (start by T0+2h; re-assess at least every 2h until de-escalation), Strategic Note, Gate C: Eradication Confidence (before any restoration), Gate D: Restore Strategy Selection (decision by T0+24h; execute restore waves from T0+24h to T0+72h+ depending on scope/confidence); Appendix B - Mindset-Informed Adversary Emulation with Open-Source Tools: B.1 Objective, B.2 Tools and Building Blocks, Installing CALDERA with the Stockpile Plugin, B.3 High-Level Workflow, B.4 Roles and Responsibilities, B.5 Exercise 1: Mindset-Informed Emulation of APT29 (SolarWinds-Style Post-Compromise), Adversary Objective.




