Explore AI Supply Chain Risk with the AI Risk Database
AI Risk Database is a tool for discovering and reporting the risks associated with public machine learning models. The database is specifically designed for organizations that rely on AI for their operations, providing them with a comprehensive and up-to-date overview of the risks and vulnerabilities associated with publicly available models.
Our database is continuously updated with the latest models, file reputation, and model vulnerabilities to ensure that you have the most accurate and up-to-date information at your fingertips.
Top Risk Reports
Falcon-40b-instruct is susceptible to hypothetical response jailbreak attackAffects tiiuae/falcon-40b-instruct
reported by drhyrum5 upvotes
reported by drhyrum5 upvotes
Vulnerabilities in Linked CodeAffects luciolrv/sd-class-butterflies-32
reported by indiana-university1 upvote
reported by indiana-university1 upvote
Vulnerabilities in Linked CodeAffects 1daniar/ppo-SnowballTarget
reported by indiana-university0 upvotes
reported by indiana-university0 upvotes
Vulnerabilities in Linked CodeAffects chh6/a2c-PandaReachDense-v2
reported by indiana-university0 upvotes
reported by indiana-university0 upvotes
Vulnerabilities in Linked CodeAffects ApolloFilippou/a2c-AntBulletEnv-v0
reported by indiana-university0 upvotes
reported by indiana-university0 upvotes
Top Public Models
