An increasing number of companies are implementing artificial intelligence agents to automate tasks and enhance decision-making. These AI agents, powered by machine learning and natural language processing, can independently analyse data, execute workflows, and learn over time. They are being deployed across various sectors for tasks such as customer service, process automation, and cybersecurity.
However, security researchers are raising concerns about the potential for manipulation and vulnerabilities within these systems. Risks include unbounded autonomy, inconsistent behaviour, and overreach into sensitive systems. The lack of visibility into AI agent activities, reliance on third-party tools, and the potential for instruction injection also pose significant security challenges. As AI agents gain more powerful capabilities and access sensitive data, robust security measures and human oversight are crucial to mitigate these risks.