arXiv:2604.24920v3 Announce Type: replace-cross Abstract: Agentic systems increasingly act with user secrets for APIs, messaging platforms, and cloud services. Today's agent runtimes typically implement authorization by exposure: enabling action often means placing a reusable secret, or a reusable artifact derived from it, inside the runtime, so a transient prompt-injection or tool-side compromise becomes durable account compromise. Existing defenses cover adjacent pieces such as secret storage, scoped delegation, sender-constrained tokens, and runtime monitoring, but leave the combined agenti
The accelerating deployment of agentic AI systems for critical tasks necessitates robust security protocols to prevent catastrophic compromises, a challenge addressed by this new proposed solution.
This development is crucial for the secure and trustworthy scaling of AI agents, directly impacting their adoption and the safety of user data and systems within these autonomous frameworks.
Current authorization-by-exposure methods for AI agents are replaced with a secret-use delegation protocol, significantly reducing the risk of durable account compromise from transient attacks.
- · AI Agent Developers
- · Cloud Service Providers
- · Enterprise AI Users
- · Cybersecurity Sector
- · Malicious Actors
- · Legacy Authorization Systems
Increased trust and adoption of advanced AI agents for sensitive operations due to enhanced security.
Reduced incidence of high-profile data breaches and system compromises stemming from agent vulnerabilities.
Accelerated integration of AI agents into critical infrastructure and financial systems, reshaping operational paradigms.
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Read at arXiv cs.AI