AI Governance
Prevention Is Dead: The Rise of Resilience-Based AI Risk Governance
Abstract
Prevention-only security models have proven insufficient even in traditional cybersecurity. In the age of autonomous AI, they are not merely inadequate—they are dangerous. This report examines why static defenses fail against AI-driven threats and proposes resilience-based governance that assumes breach inevitability, designs systems for rapid recovery, and embeds adaptive response mechanisms into AI risk frameworks. Covers resilience architectures, AI-aware incident response, recovery automation, and governance models for post-breach environments.
Table of Contents
- 01The Mythology of Prevention
- 02Why Prevention Fails Against AI
- 03Resilience-Based Governance Models
- 04Designing for Breach Inevitability
- 05Rapid Recovery Architectures
- 06AI-Aware Incident Response
- 07Recovery Automation and Orchestration
- 08Implementation Framework