Bernard Mc Closkey writes about the evolving risks and responsibilities that come with deploying AI systems inside organizations. His work explores how powerful new tools like AI agents can inadvertently gain access to sensitive records, and what that means for privacy, security and governance.

By reading stories under this tag, you’ll find careful examinations of how access controls, audit trails and accountability mechanisms often fall behind the rapid adoption of AI. Mc Closkey highlights the practical questions executives, developers and compliance teams must confront: who approved an AI agent’s permissions, how its actions can be traced, and what safeguards are needed before handing it the keys to critical data.

These pieces are valuable for anyone responsible for AI strategy, information security or data protection. They provide a clear-eyed look at both the promise and the exposure created when AI systems inherit broad access by default, and they offer a starting point for designing more transparent, accountable AI deployments.