Every story tagged Data Loss Prevention, curated for CIOs and IT leaders — ranked by source credibility, engagement, and freshness.
1 story · open in the command center
Developers are increasingly running AI models locally on laptops, bypassing traditional network-based security controls and creating a critical blind spot for CISOs. This shift from cloud-based to on-device inference means security teams can no longer monitor AI usage through network logs, exposing organizations to code integrity risks, licensing violations, and supply chain vulnerabilities from unvetted model artifacts. IT organizations must fundamentally rethink their AI governance approach by treating model weights like software artifacts and implementing endpoint-level controls rather than relying solely on network perimeter defenses.