As organizations race to integrate autonomous artificial intelligence into their core operational workflows, a silent crisis is unfolding in enterprise security backrooms. While Large Language Models (LLMs) have unlocked unprecedented productivity, data analysis, and workflow automation capabilities, their underlying architectures remain profoundly insecure. Data exfiltration incidents, "confused deputy" exploits, and systemic prompt injections are no […]
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