When Artificial Intelligence Becomes the Hacker: Legal Risks and Compliance Strategies for Autonomous Cyber Threats
As offensive security tools absorb more AI, “autonomous” threats shift the risk profile for organizations: attacks can be faster, more scalable, and harder to attribute. This piece looks at that shift from a legal and compliance angle—what it means for due diligence, incident response readiness, and the expectations organizations may face when regulators or customers ask how AI-related risk is being managed.
The practical message is familiar but increasingly urgent: governance and controls matter as much as detection. Teams need clear policies for where AI tools can touch sensitive systems and data, stronger logging/monitoring, vendor and model risk review, and incident playbooks that assume adversaries can use automation to iterate rapidly. If you haven’t already, it’s a good prompt to treat AI-enabled security as an ongoing compliance program (training, controls, audits), not a one-off “new tool” evaluation.