Every story tagged Data Breach Risk, curated for CIOs and IT leaders — ranked by source credibility, engagement, and freshness.
2 stories · open in the command center
Shadow AI—unauthorized and unmanaged AI tools and features across the enterprise—creates a critical blind spot where sensitive data exposure, policy failures, and AI-specific attacks (like prompt injection) can occur outside traditional security controls. Organizations lacking visibility into where AI is being used and what data is flowing to these systems face significant risks of data breaches, compliance violations, and reputational damage. Conventional security tools were never designed to inspect AI interactions and agent-to-agent communications, creating a dangerous gap that requires purpose-built AI detection and governance capabilities.
Apple is pursuing legal action against leaker Jon Prosser for allegedly obtaining and publishing confidential iOS 26 design details, with Prosser only partially complying with subpoenas despite multiple deadline extensions. The case highlights the ongoing challenge technology companies face in protecting trade secrets and controlling pre-release product information in an era of persistent leaks. For IT organizations, this underscores the critical importance of robust insider threat programs, strict device and data access controls, and legal preparedness to protect proprietary information from unauthorized disclosure.