The adoption of artificial intelligence (AI) in businesses is revolutionizing operations while exposing new security vulnerabilities. AI systems are increasingly autonomously executing tasks beyond simple support roles, such as managing accounts and analyzing data. This evolution has led to the development of autonomous agents capable of making independent decisions without human intervention, particularly in areas like marketing and DevOps. However, their flexibility poses security risks, as these agents can access multiple systems with varying privilege levels, often resulting in “shadow AI”—unauthorized tools used without oversight. To address these challenges, companies need to implement governance measures that include defining agent lifecycles, limiting permissions, and maintaining registries of active agents. A structured management framework is essential to ensure that AI operates within safe boundaries, mitigating cybersecurity risks. Ultimately, organizations must recognize autonomous agents as advanced collaborators, creating a balance between innovation and security.
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