Security Governance | Breaking Cybersecurity News | The Hacker News

In March 2026, an internal AI agent at Meta triggered a “Sev 1” incident after sensitive company and user data was exposed to employees who weren’t authorized to access it.  The incident began when a Meta employee posted a technical question on an internal forum. An engineer used an approved AI agent to analyze it, but the agent posted its response publicly without approval. The employee followed its advice, inadvertently making a large volume of sensitive data available to unauthorized engineers for over two hours.  This was not shadow AI. The tool was approved, but the AI behaved in ways nobody had anticipated.  It’s a perfect example of security’s next big AI governance problem: shady AI.  Shadow AI is the unapproved use of AI tools  Shady AI is when employees use approved AI tools in unapproved, unexpected, or poorly governed ways  Shadow AI happens outside the organization's visibility. Shady AI happens inside it. And that makes it mu...

Most security tools can’t see what happens inside the browser, but that’s where the majority of work, and risk, now lives. Security leaders deciding how to close that gap often face a choice: deploy a dedicated Enterprise Browser or add an enterprise-grade control layer to the browsers employees already use and trust. The Ultimate Battle: Enterprise Browsers vs. Enterprise Browser Extensions examines this choice across nine “rounds”: adoption, data protection, BYOD, productivity, management overhead, remote access, Zero Trust alignment, supply-chain security, and future-readiness, to show where each approach excels, and where trade-offs emerge. Each round uses practical, enterprise scenarios to compare the two models, making it easier to see not just what they can do, but how they perform at scale. The Browser Is Now the Workspace The browser has become the primary workspace for enterprise users. It is where sensitive data is created, accessed, and moved through copy/paste action...