AgentFlow: Flow-Centric Policy Enforcement for LLM Agent Data Flows (Defensive Research)
lowAgentOtherThis is not a vulnerability disclosure but a research paper describing AgentFlow, a defensive framework that enforces data-flow policies across LLM agent tool calls and delegation boundaries to prevent prompt-injection-driven data exfiltration and unsafe cross-agent authority propagation. The work reports strong reductions in confirmed compromise rates across several established agent security benchmarks (AgentDojo, AgentDyn, ASB, InjecAgent, BIPIA, AgentHarm, MCPTox). Severity is rated low because the raw data describes a proposed mitigation, not an active threat, exploit, or newly discovered weakness.
Updated Aug 25, 2026