Reachability makes AI threat modeling worth the trust

Oscar Andersson, CTO at Oplane, argues that most AI threat-modeling scanning tools fail because they flag threats that cannot run in real code, emphasizing that findings only matter when they are reachable in a working build. He demonstrates how a chain of design choices led to account takeover in a popular open-source project and advises on testing vendor claims.

In this interview with Help Net Security, Oscar Andersson, CTO at Oplane, explains why most scanning tools fail. They cry wolf, flagging threats that cannot run in real code. The argument centers on reachability. A finding counts only when someone walks the path to impact on a working build. He shows how a chain of small design choices led to account takeover in a popular open-source project, then covers how to test a vendor’s claims, … More https://www.helpnetsecurity.com/2026/06/16/oscar-andersson-oplane-ai-threat-modeling/ The post Reachability makes AI threat modeling worth the trust https://www.helpnetsecurity.com/2026/06/16/oscar-andersson-oplane-ai-threat-modeling/ appeared first on Help Net Security https://www.helpnetsecurity.com .