AI and Security

The author's central point is that the real challenge posed by AI in security is not matching better scanners but building security into design and development, using AI earlier and more proactively. The article says AI scanners can now find vulnerabilities with little supervision and are especially good at exploring integrations and different layers of the stack, though humans still do better at finding critical business-logic issues. It suggests approaches such as narrow formal verification with LLMs automating configuration, as in Verity's work, along with safer languages like Rust, and packaged "security-in-a-box" frameworks.