Artificial intelligence is transforming every business process. From automating customer support to enabling autonomous decision-making, enterprises are rapidly embedding large language models (LLMs), generative AI, and intelligent agents into their core workflows. While AI accelerates innovation, it also expands the attack surface in unprecedented ways. GenAI applications create blind spots that traditional security can’t address. New risks such as prompt injection, sensitive data exposure, harmful content generation, and abuse patterns manipulation exploit the open-ended, language-based nature of GenAI. Since traditional security stacks were never designed for this type of interaction, attackers can bypass defenses in new ways that are already […]
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