AI Can Find Bugs, But Human Knowledge Still Proves Them
The article argues that while AI tools can accelerate the discovery of software vulnerabilities, human expertise remains essential for validating findings. It warns that the rise of AI-generated reports is creating a burden for security teams due to a lack of meaningful evidence.
Why it matters
As AI becomes integrated into cybersecurity, the industry must distinguish between automated noise and genuine, exploitable security threats.
Artificial intelligence (AI) is changing offensive security, but it has not changed the standard that matters most: a finding has to be proven before it becomes useful. AI-assisted tools can read code quickly, generate payloads, summarize attack surfaces, explain unfamiliar APIs, and run repetitive testing workflows at impressive speed. That is a real advantage for security teams. It also creates a new kind of pressure, because the industry can now produce more vulnerability-looking output than ever before.
The piece provides a balanced technical perspective on the limitations of AI in professional security workflows.
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