AI That Finds Software Bugs May Miss Real Threats, Study Finds
This could mean your private data is less safe than you think.
arXivLabs is a framework that lets collaborators develop and share new arXiv features directly on the arXiv website. Both the individuals and organizations that work with arXivLabs have embraced and accepted arXiv's values of openness, community, excellence, and user data privacy.
arXiv says it is committed to these values and only works with partners who adhere to them. If you have an idea for a project that will add value for arXiv's community, you can learn more about arXivLabs.
- AI vulnerability detectors often fail on new types of bugs, leaving systems exposed.
- Researchers created a method to measure when AI is likely to miss a bug by comparing code similarity.
- This means companies should not rely solely on AI for security; human oversight is still crucial.
Why It Matters
Your personal data could be at risk if AI security tools miss new bugs, so human backup is still essential.