Security and Privacy Risks of AI Assistants and Agents

AI assistants and agents are increasingly integrated into both personal and enterprise workflows, raising significant concerns about data privacy and security. Recent research highlights that users often grant AI agents more data access than necessary, sometimes sharing sensitive information out of convenience or misunderstanding, while still withholding highly sensitive data like Social Security numbers in many cases. This over-permissioning and under-permissioning dynamic underscores the challenge of designing AI systems that request and handle data appropriately, balancing user convenience with privacy protection.

At the same time, AI assistants have become attractive targets for cyber attackers, who exploit their growing presence in organizations to launch new types of attacks such as prompt injection. These attacks manipulate AI agents through crafted text-based payloads, bypassing traditional email and endpoint security measures. As AI agents expand the enterprise attack surface, security teams face new challenges in defending against threats that target machine reasoning rather than human behavior, emphasizing the urgent need for updated security architectures and user awareness around AI-driven workflows.