Estimated reading time: 4 minutes
With AI generating code and staff using unapproved tools, organizations risk hidden vulnerabilities and unintended data exposure.
The past two years have seen rapid AI adoption across engineering teams, but 2026 is shaping up to be the year when attackers and defenders collide at scale.
Autonomous malware, silent supply-chain backdoors, unpredictable LLM behavior, and the surge of shadow AI inside workplaces are converging into what security leaders warn will be one of the most challenging years yet for developers.
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