Chapter 249

AI Risk Management

0 min read

AI's power creates novel risks. Managing these risks provides significant opportunities.

Adversarial AI Defense

As AI becomes critical infrastructure, defending against AI attacks becomes essential.

Kyle built AI defense systems: - Adversarial input detection - Model poisoning prevention - Decision manipulation identification - System robustness testing - Recovery protocol development

His security services became mandatory as AI risks materialized.

AI Failure Contingencies

AI systems fail in novel ways. Organizations need contingency plans for AI-specific failures.

Laura developed contingency frameworks: - Graceful degradation designs - Human fallback protocols - Decision audit trails - Rapid recovery procedures - Learning from failure systems

Her frameworks prevented catastrophic failures while enabling bold AI adoption.

Regulatory Compliance Navigation

AI regulation evolves rapidly. Compliance services help organizations innovate within bounds.

Martin mastered regulatory navigation: - Multi-jurisdictional compliance mapping - Proactive regulatory engagement - Compliance-by-design architectures - Audit preparation and support - Regulatory change monitoring

His services enabled innovation while avoiding costly violations.