Enterprise security experts are raising concerns about the growing use of AI agents in business workflows. According to a VentureBeat report by Emilia David, these autonomous AI systems require access to sensitive data to function effectively, creating new security challenges for organizations.
Nicole Carignan, VP of strategic cyber AI at Darktrace, warns that multi-agent systems introduce additional attack vectors and vulnerabilities that could be exploited if not properly secured. AWS CISO Chris Betz emphasizes that organizations need to carefully consider their document sharing policies, as AI agents will access any information available to complete their tasks. Security professionals are particularly concerned about issues like data poisoning, prompt injection, and social engineering affecting agent behavior.
To address these challenges, experts recommend implementing specific access identities for AI agents, similar to how human employees are managed. Companies like Pega are developing solutions that provide transparency into agent actions, with their AgentX platform offering detailed audit trails of agent activities. However, industry leaders acknowledge that current solutions are not yet comprehensive enough to fully address all security concerns related to autonomous AI agents.