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AI vs. endpoint attacks: What security leaders must know to stay ahead
Why enterprises must embrace an AI-first strategy that unifies endpoint, identity and network security within a zero-trust framework.
Enterprises run the very real risk of losing the AI arms race to adversaries who weaponize large language models (LLMs) and create fraudulent bots to automate attacks. Vineet Arora, CTO at WinWire, agreed: “AI tools excel at rapidly analyzing massive data across logs, endpoints and network traffic, spotting subtle patterns early. Arora emphasized: “It’s also crucial for CISOs to assess data handling, privacy and the transparency of AI decision-making before adopting such tools — ensuring they fit both the organization’s compliance requirements and its security strategy.”
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