Jev and CodeGraph for security review
The typesafe-security-review project combines Jev’s probability judgments with a code graph and OWASP/CWE data for low-cost security scanning.
Jev detects AI agent collusion via chat logs
At the AI Swarm Dynamics Hackathon, Aditya Rao used Jev by TypeSafe AI to read AI agents' chat logs, identifying secret colluders with 85% accuracy—without needing to read their minds.
Catching AI agents that secretly collude usually means reading their minds. I just read their chat instead, using Jev by TypeSafe AI It named the colluders 85% of the time. Built for the AI Swarm Dynamics Hackathon by @grove_research & @aidigest_. Thanks for letting people
· 0 likesOpen on X
More like this
Jev Delivers 5x Cheaper and More Accurate Security Pipeline Results
A user shares experience using Jev in a security pipeline: over 5x cheaper, faster, and more accurate than smaller, dumber models.
Jev Use Cases and Demo in AI Security
Introduces Jev use cases and a demo in AI security, leveraging its choice-and-probability model with Unity AI Gateway and MLflow integration for safety checks.
