SAFE and sound.

Cybersecurity in the era of generative AI requires a fundamental shift from perimeter-focused defense to the governance of autonomous agentic systems. As AI agents become more deeply integrated into enterprise workflows, their ability to operate at machine speed and scale creates significant risks of unintended data exposure and security violations. Organizations must move beyond traditional access controls, instead implementing contextual guardrails that evaluate whether an agent’s actions align with its intended purpose. Cal Al-Dhubaib, Principal Technologist at Rubrik, highlights that security teams should prioritize high-impact AI use cases and deploy specialized models to monitor for deviations in real-time. Meanwhile, the broader cybersecurity landscape continues to evolve, with the White House outlining a flexible AI strategy, new vulnerabilities emerging in N-able and TP-Link products, and researchers warning that AI remains an unreliable source for accurate election-related information.