This document applies MAESTRO Framework (7-layer Agentic AI Threat Model) to the OpenClaw codebase, identifying specific threats at each layer and high level mitigation strategies.
Interesting analysis Ken. Do you think having "police agents" floated in the social system to observe activities in the channels and flagging the channel (along with corresponding agents) with potential vulnerabilities may give early warnings and prevent the spread of threat by isolating those channels .
Interesting analysis Ken. Do you think having "police agents" floated in the social system to observe activities in the channels and flagging the channel (along with corresponding agents) with potential vulnerabilities may give early warnings and prevent the spread of threat by isolating those channels .
could be an interesting option.
Brilliant analysis and solutions provided to potential critical threats.
Great analysis as always, and exactly why we released this open source OpenClaw deterministic guardrails extension: https://securetrajectories.substack.com/p/openclaw-rm-rf-policy-as-code
Thank you Josh. You are my inspiration. I like your posts a lot!
Thorough read, though I'm sure this is just the beginning. High hopes for Claw !