US regulators may scrutinize AI data in lawsuits and audits

The article argues that AI interactions must be governed as records from the start. Prompts, outputs, accessed data, permissions, and governing policies must be captured and controlled. Without this, organizations risk failing to provide a defensible record during litigation or regulatory inquiries. AI systems should operate on policy-controlled data, not broad access, and governance must be built into deployment—not retroactively during discovery. Failing to establish these records upfront could force organizations to reconstruct AI activity under pressure, undermining trust and accountability.