Abstract
Cross-platform agent contamination detection and containment is disclosed for autonomous agents that operate across multiple recommendation platforms while sharing preference memory. Preferences are stored with structured provenance metadata identifying an origin platform and interaction context, optionally including cryptographic signatures, confidence tiers, influence tracking, and quarantine status. Cross-platform monitoring computes temporal and categorical correlation metrics, including influence scoring and causality-oriented tests, to determine whether acquisition on one platform predicts behavior change on another. When suspected contamination is detected, affected preferences are quarantined with platform-differentiated influence control, optionally including recursive quarantine of influenced preferences, while enabling independent local verification and cross-verification to restore use. Privacy-preserving signed inter-platform alerts may be exchanged via publish-subscribe without agent identifiers. Per-platform health scores and aggregated trust metrics may be maintained, and forensic tracing may reconstruct propagation paths and blast radius for incident reporting.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Anonymous, "Cross-Platform Agent Contamination Detection and Containment", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/10710