Why agentic AI demands a new approach to enterprise security (www.techradar.com)

The rise of autonomous AI agents in enterprises marks a significant shift beyond traditional generative AI capabilities, as these agents can autonomously read communications, retrieve and update information, and execute operational tasks with minimal human oversight. With 76% of organizations piloting these systems, cybersecurity experts are expressing concern over the new risks posed by this autonomy, notably the potential for security incidents linked to agentic AI behavior. As AI agents gain more responsibilities, the need for robust governance and oversight becomes critical to ensuring they operate within intended boundaries while preventing harmful breaches. Significantly, traditional security models focused on access control are inadequate for managing the complexities of autonomous AI. As Matt Cooke, a cybersecurity strategist, points out, the challenge lies in assessing not just if an agent has permission to act, but whether its actions align with human intent and organizational policies. Issues like semantic privilege escalation illustrate how AI can operate within its rights while inadvertently causing significant disruption, prompting calls for more dynamic monitoring and controls. Ultimately, establishing a framework that balances productivity with safety and accountability is essential as organizations increasingly integrate these sophisticated AI agents into workflows.