arXiv:2606.25836v2 Announce Type: replace Abstract: To better assist users with completing challenging tasks, AI agents mediate communications, access data, and interact with different APIs. Many employers (and even nation-states) already provide their users with this technology. However, widespread adoption of AI agents creates a new risk to abuse access to user data for another goal: surveilling users. These users might not even have the ability or permission to control the actions and data accesses of the surveilling agents. We introduce and formalize the problem of agentic surveillance: th
The proliferation of AI agents in both corporate and state environments makes the issue of agentic surveillance an immediate concern as these systems mediate access to sensitive user data.
Organizations and nation-states deploying AI agents are now confronted with the ethical and security challenges of preventing these powerful tools from becoming surveillance mechanisms, impacting trust and regulatory landscapes.
The proactive identification and formalization of agentic surveillance creates a new area of research and development focused on creating evading and mitigating strategies for AI agents.
- · Privacy-preserving AI developers
- · Cybersecurity firms
- · Ethical AI researchers
- · Users concerned with data privacy
- · Organizations relying on opaque agentic systems
- · Surveillance-oriented AI developers
- · Users without control over agent actions
- · Regulatory bodies slow to adapt
Increased demand for privacy-enhancing technologies and audited AI agent deployments.
Development of regulatory frameworks specifically addressing agentic surveillance and data access.
Shift in user trust towards AI platforms that demonstrably protect against agentic misuse, potentially leading to market consolidation around trusted providers.
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Read at arXiv cs.AI