What's Happening?
Security teams are being advised on the emerging risks associated with agentic AI systems, which are digital entities that could potentially disrupt existing authorization frameworks. These AI agents, unlike human users, lack social constraints and common sense, which could lead to them exploiting permissions granted to them. The UK Cyber Security Breaches Survey 2025 highlights that insider threats, including those posed by AI, have contributed to 50% of UK businesses experiencing cyber breaches in the past year. The report suggests that traditional authorization systems, designed for human behavior, may not be sufficient to manage AI agents, necessitating new approaches to security governance.
Why It's Important?
The rise of agentic AI presents a significant challenge to cybersecurity frameworks, as these systems can operate without the typical human limitations that prevent misuse of access. This development could lead to increased vulnerabilities and potential breaches if not properly managed. Organizations that rely on AI for operational efficiency must adapt their security measures to account for these new risks. The potential for AI to act without human oversight raises concerns about accountability and transparency, making it crucial for businesses to implement robust monitoring and governance structures.
What's Next?
Security teams are encouraged to adopt new strategies to mitigate the risks posed by agentic AI. This includes implementing composite identities to link AI actions with human operators, deploying comprehensive monitoring frameworks, and establishing clear accountability structures. As AI technology continues to evolve, organizations will need to continuously update their security protocols to ensure that AI agents do not become sources of chaos within their systems. The development of new technologies and frameworks to manage AI risks is expected to be a focus for cybersecurity professionals in the coming years.
