AI agents create new risks requiring continuous monitoring and oversight
… The Meta example in particular underlines the potential data protection risks associated with AI agents, particularly when it comes to taking advice at face value. …
… The Meta example in particular underlines the potential data protection risks associated with AI agents, particularly when it comes to taking advice at face value. …
… Those aren’t novel security concepts. They’re just being applied to a new kind of “employee”. As security leaders, we cannot solve every AI risk overnight, but we can establish a foundation that moves beyond high-level principles into operational reality: 1. …
… These agents autonomously interact with multiple tools, systems, APIs, and datasets, making it harder for organizations to monitor behavior, diagnose faults, manage security risks, and maintain governance controls without deeper telemetry. …
… Only around one in five respondents has reached what could genuinely be described as AI mature, a state in which cybersecurity applications are fully deployed, security risks are systematically assessed and effectiveness is tracked against meaningful benchmarks. …
… A traffic anomaly might signal a security event, a failed deployment, or a legitimate business shift. …
… Procurement cycles, governance approvals, security reviews, deployment bottlenecks, and operational change management are now part of the internet security control plane whether organizations recognize them or not. …
For years, cybersecurity was a numbers game. …
… Encryption alone does not equal security. …
… Security Chaotic Eclipse strikes again, releasing their seventh zero-day in just two months. Security Varonis has a suggestion on how to make AI agents more careful. Security SPONSORED SPONSORED STRAPLINE SPONSORED