Agentic AI—autonomous systems capable of setting goals and acting independently—is rapidly transforming business operations, but poses heightened security threats compared with traditional automation. Unlike conventional automation, agentic AI can execute tasks without human intervention, raising substantial productivity potential while increasing risk exposure.
Malicious actors can exploit autonomous agents unless robust safeguards are implemented. Technology leaders must ensure AI objectives align with business priorities, maintain human oversight, and customise risk assessment for agentic AI. Critical measures include fail-safes, audit trails, and continuous monitoring to prevent unsupervised actions and reduce attack opportunities. Navigating agentic AI’s vulnerabilities requires technical diligence alongside a culture of informed risk management.
Agentic AI Security: Balancing Autonomy and Risk in Enterprise IT
