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Artificial intelligence is destabilizing cybersecurity by enabling anyone to scan code for vulnerabilities quickly, yet its probabilistic nature means bugs found during one scan might not appear during a rescan, potentially allowing zero-day exploits to go undiscovered.
Summary
The article highlights three major issues: AI generates code faster than teams can review it, runtime threat detection is unreliable, and patching is too slow. It divides the analysis into development and production stages, noting that AI-generated code overwhelms development teams, leading to skipped reviews and vulnerabilities slipping into production. The proposed solution of using AI to review AI-generated code faces challenges because AI struggles with large context, leading to hallucinations and degraded performance on extensive tasks.
This is a brief wire summary, the full story (linked below) has the complete details.
KazaSec's take
A newly disclosed vulnerability is only a real risk to your organization once it's confirmed present and exploitable in your own environment, not every CVE applies equally to every network. Knowing the difference is exactly what a proper vulnerability assessment is for.
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