… According to Adaptive Security research, 80% of employees currently use unapproved generative AI applications at work, and only 12% of companies have a formal AI governance policy in place. The result is a growing disconnect between how employees work and what security teams can see. …
… Privacy-preserving technologies are also becoming more widely used in high-security environments. Techniques such as homomorphic encryption allow biometric matching to take place without exposing the underlying biometric data itself, helping organizations reduce both security and privacy risks. …
… A policy can then block the user’s action or warn the security team of the action, while capturing a full timeline of events—turning what would otherwise be invisible into a clear, actionable security signal. …
… Atlas is built on the Varonis Data Security Platform , combining AI security with deep data context — sensitivity, permissions, and access activity. Organizations can discover AI risk, remediate exposures proactively, enforce guardrails, and manage governance at scale. …
… Over half of AI prompt inputs are sent to personal accounts, and 23% of sensitive prompt uploads involve data transiting through personal or unverified accounts i.e., outside the reach of any corporate DLP policy or logging infrastructure , conveying the real risks of AI usage. …
Identity Alone Isn't Enough: Why Device Security Has to Share the Load Sponsored by Specops Software May 20, 2026 10:02 AM Identity has long been the load-bearing wall of cybersecurity. …
… The moderator, Andrew Steele, a Partner at Activant Capital, has spent a decade investing in enterprise AI and knows exactly where personal experimentation ends and workplace risk begins. Unfortunately for IT and security leaders, many employees don't. …
… Cybersecurity and Infrastructure Security Agency CISA announced a new Binding Operational Directive, 26-04, that prioritizes security updates for Federal Civilian Executive Branch FCEB agencies. …
… It processes security alerts, vulnerability findings, and endpoint activity data to automatically generate weekly reports with insights, trend analysis, high-risk highlights, and prioritized remediation recommendations. …
… The risks stack up quickly. Sensitive data leaves the organization through clipboard pastes and file uploads to AI tools that security teams didn't approve and can't monitor. …