AI's Hacking Skills Are Approaching an 'Inflection Point'

AI's Hacking Skills Are Approaching an'Inflection Point' AI models are getting so good at finding vulnerabilities that some experts say the tech industry might need to rethink how software is built. Vlad Ionescu and Ariel Herbert-Voss, cofounders of the cybersecurity startup RunSybil, were momentarily confused when their AI tool, Sybil, alerted them to a weakness in a customer's systems last November. Sybil uses a mix of different AI models --as well as a few proprietary technical tricks--to scan computer systems for issues that hackers might exploit, like an unpatched server or a misconfigured database. In this case, Sybil flagged a problem with the customer's deployment of federated GraphQL, a language used to specify how data is accessed over the web through application programming interfaces (APIs). The issue meant that the customer was inadvertently exposing confidential information.