The Execution Governance Paradox: Where AI Safety Becomes the Primary Attack Target

As AI systems transition from passive tools to autonomous decision-makers, runtime enforcement governance emerges as the critical battleground for AI safety. However, this shift introduces a fundamental security paradox: privileged enforcement layers historically become primary attack targets. This pattern echoes lessons from antivirus, hypervisors, and identity systems, suggesting that controlling autonomous AI requires entirely new security paradigms beyond traditional cybersecurity.