Investment in AI is now the leading cybersecurity priority for global organizations. The transition of AI from a tool to autonomous agents highlights critical vulnerabilities in traditional identity and access management systems. These systems struggle to discern actions taken by human users from those executed by AI agents, creating accountability gaps that complicate forensic investigations.
A PwC survey shows that 60% of businesses will increase their AI-driven cybersecurity investments within the next year, focusing on threat detection. However, existing infrastructures fail to govern non-human actors effectively, leading to complex authorization challenges. Solutions like “On-Behalf-Of” flows aim to clarify agent actions, while scope attenuation mechanisms can manage delegation risks.
Emerging agent behaviors also necessitate novel authentication frameworks. The urgency for standardized, interoperable protocols is crucial to protect AI agents, which are increasingly targets for cyberattacks. Therefore, organizations must treat agents as integral components of their security strategy to secure business automation’s future.
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