Oplane: Reachability Key to AI Threat Modeling Trust

Reachability is key to effective AI threat modeling, according to Oscar Andersson of Oplane. He explains that many scanning tools fail because they flag threats that cannot actually run in real code. These tools often "cry wolf," leading to what's known as triage fatigue among engineers. Andersson emphasizes that a security finding only counts if it's tied to a reachable path in the actual code. He cites an open-source project with over 35,000 GitHub stars as an example. Scanners flagged "arbitrary file uploads," but the real issue was a chain of design choices that led to full account takeover. This was discovered by walking the path of the exploit, not by abstract alerts. The bottom line is that true exploitability relies on whether a threat can execute within the system. This matters because it helps distinguish real risks from false alarms, saving time and resources.