What an LLM Can Find: A Practical, Cheap Path to Code-level Threat Discovery
An AI-assisted audit found 29 flaws in GlobaLeaks, showing LLMs make large-scale code reviews faster, cheaper, and accessible. GlobaLeaks, a mature whistleblowing platform that had already undergone six independent professional audits over the past thirteen years, was subjected to an LLM-assisted security review that cost roughly USD 3,140 in API calls. The review identified 29 […]
GlobaLeaks, a mature whistleblowing platform that had already undergone six independent professional audits over the past thirteen years, was subjected to an LLM-assisted security review that cost roughly USD 3,140 in API calls. The review identified 29 confirmed vulnerabilities, 12 denial-of-service issues, and 42 hardening recommendations, with an average cost of about USD 77 per confirmed finding before human validation.
The most important point is probably the cost. Reading an entire codebase systematically, line by line and against major known weakness classes, traditionally required weeks of specialist work and a serious budget. That assumption no longer holds in the same way: the report argues that this kind of analysis is now far more accessible than it used to be.
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