Map

How will AI affect Cyber security today, in the future and how will to be stoppe...

How AI Will Affect Cybersecurity — Now, In the Future, and How Misuse Can Be Pre...

Defensive Uses — AI Improves Threat Detection

Why Sommer & Paxson (2010) Matters for AI and Network Intrusion Detection

Why Chandola, Banerjee & Kumar (2009) Was Selected

Why a Comprehensive Anomaly-Detection Framework Fits Cybersecurity

Why Methodological Breadth Matters in Anomaly Detection for Security

Practical Relevance of the Anomaly-Detection Survey to Real-World Security

Why This Work Has Lasting Influence

Why “Comprehensive Framework” Was Selected

Why Combine Technical Controls with Operational Best Practices

Why Governance and Enforceable Policy Were Recommended

Why Social Measures and International Cooperation Matter for AI and Cybersecurit...

Why Treat AI Systems as High‑Value Assets

Defensive and Offensive Effects of AI on Threat Detection and Phishing — A Synth...

Speed and Automation — Why Real‑Time Scoring Matters

Speed and Automation — Why Real‑Time Scoring Matters

Against Speed and Automation — Why Real‑Time Scoring Is Not Always the Right Ans...

Defensive Uses — AI Improves Threat Detection

AI-Driven “Improved” Detection Is Overstated and Risky

Examples Illustrating AI’s Impact on Cybersecurity

Public Reactions to AI-driven Anomaly Detection and Data Privacy Concerns

Trust and Acceptance — Why They Matter for AI in Cybersecurity

Privacy and Autonomy Concerns — Short Explanation

Why Fairness, Accuracy, and Accountability Matter in AI for Cybersecurity

Legal and Cultural Variation — Why It Matters for AI in Cybersecurity

Behavioral Effects — Why They Matter for AI and Cybersecurity

Why Many Will Support AI-Based Cybersecurity

Why Skeptics Distrust Automated Surveillance

Why Data Minimization Matters for AI-Enabled Security

Consent and Control — Rising Expectations for Notice, Consent, and Opt-Outs

Why False Positives Matter — Practical Harms and Ethical Stakes

Explainability — Why Clear, Understandable Reasons Matter for AI in Cybersecurit...

Why Privacy Laws and Cultural Attitudes Shape AI Security Adoption

Chilling Effects from Excessive Monitoring

How Improved Hygiene Follows from Awareness of Detection Systems

Visibility Increases the Perceived Risk of Detection — and Encourages Compliance

Why Policy Salience and Training Stick Better When Paired with Detection

Why Easier Enforcement Reduces Risky Shortcuts

How Detection-Driven Feedback Loops Strengthen Security Habits

Detection-Driven Feedback Loops Strengthen Security Habits

Detection-Driven Feedback Loops Can Undermine — Not Strengthen — Security Habits

Social Norms Shift via Visible Deterrence and Peer Effects

Minimize Collection, Retain Only What’s Necessary — Anonymize and Aggregate Wher...

Clear Privacy Notices and Usable Consent — Why They Matter and How to Do Them

Why Human-in-the-Loop and Appeal Processes Matter

How AI Will Affect Cybersecurity — A Deeper, Specific Account (Now, Future, and ...

Suggested Readings and Ideas on AI and Cybersecurity — Why These Were Selected

Why Publish Accuracy Metrics, Bias Audits, and Model Governance Practices

Why Detection Must Align with Law and Be Independently Overseen

Offensive uses — AI automates phishing

Why NLG and Voice Synthesis Make Scams Harder to Detect and More Convincing

Why These Examples Were Selected — Short Explanation with Examples