hermes-traffic-guardianv0.0.1-beta2

Security teams deploy Hermes Traffic Guardian to inspect outbound HTTP traffic from AI agent processes, detecting data exfiltration attempts or unauthorized API calls. The monitor logs redacted findings without blocking, providing a baseline for incident response.

Organizations use the posture JSON export to feed into hermes-attestation-guardian, creating a verifiable trust anchor for compliance audits. This ensures that traffic monitoring configuration and status are attested alongside other runtime security controls.

Developers running AI agents locally can enable opt-in proxy inspection to understand the network behavior of their agents during testing. The redacted logs help identify unexpected outbound connections without altering system trust stores.

When a suspected breach involves an AI agent, responders enable Hermes Traffic Guardian to capture bounded request/response text and generate redacted JSONL findings. This aids in reconstructing the attack chain without exposing sensitive payloads.

Enterprises evaluating third-party AI agents require insight into their network egress. By running the monitor in a scoped environment, they can assess exfiltration risks and injection attempts before granting production access.

The skill is released under AGPL-3.0-or-later, but commercial entities can purchase support, custom detector rules, and integration assistance. This model fosters community adoption while monetizing enterprise-grade reliability and compliance features.

A service provider offers hosted traffic monitoring for AI agents, leveraging Hermes Traffic Guardian as the on-premises collector. They handle configuration, log aggregation, and alerting, targeting organizations lacking in-house expertise.

A vendor integrates the posture JSON into a broader compliance platform, automatically attesting traffic monitoring for standards like SOC 2 or ISO 27001. Customers pay for continuous compliance verification and audit-ready reports.