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ai security
Shipping More AI Code Than You Can Secure? Watch How to Control Remediation Debt
Organizations adopting AI coding tools face challenges managing the increased volume of open-source dependencies and vulnerabilities that result from accelerated development. Security teams struggle to keep pace with remediation work when AI-generated code introduces packages faster than traditional review processes can handle.
Why it matters: Development teams and security leaders need processes to manage remediation backlogs created by AI-assisted coding, as unaddressed vulnerabilities in automatically included dependencies expose applications to exploitation.
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- First seen by Cybersecurity Tracker
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ai security
Shipping More AI Code Than You Can Secure? Watch How to Control Remediation Debt
Artificial intelligence coding tools accelerate development but can rapidly increase the use of open-source dependencies. This growth introduces more vulnerabilities that security teams must review, expanding remediation backlogs. Organizations may struggle to manage the added workload with existing resources.
Why it matters: Development teams using AI coding tools face increased exposure to unmanaged open-source vulnerabilities and growing remediation debt.
- Source published
- First seen by Cybersecurity Tracker