Vectra AI has launched its next-generation flagship platform designed to secure the AI enterprise with preemptive and proactive defense against AI-powered cyberattacks, addressing the evolving threat landscape where adversaries exploit machine-speed environments, identities, and AI agents to breach trust and move laterally faster than traditional defenses can respond. The new platform introduces three key enhancements preemptive security to reduce exposure, proactive defense to stop attacks at inception, and accelerated response to contain threats in motion backed by unified observability across on-premises data centers, multi-cloud, identity, SaaS, IoT/OT, edge, and AI infrastructure that provides breadth and depth of visibility across the enterprise attack surface. “Modern networks have fundamentally changed the physics of cyber risk,” said Hitesh Sheth, CEO of Vectra AI. “They are the nervous system of the AI enterprise, where identities act and data moves at machine speed. Attackers understand this and are exploiting it. With our next-generation platform, Vectra AI is redefining cyber resilience by giving defenders continuous visibility, clear AI-driven signal, and answers at machine speed to stop AI-powered attacks long before they disrupt the business.” The platform also automatically discovers and tracks AI agents as first-class enterprise identities, detects abuse of these agents to accelerate reconnaissance and lateral movement, and delivers built-in, behavior-based hunts that make threat hunting a continuous, proactive practice.
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By correlating and prioritizing activity based on attack behavior speed and progression, Vectra AI’s enhancements enable security teams to stop AI-powered attacks the moment they start, before they reach critical systems and data, while natural language-based investigative assistance provides immediate contextual answers without complex queries, accelerating decision-making and threat containment. “AI infrastructure no longer behaves like a traditional network,” said Marty Roesch, Head of Cloud at Vectra AI. “Traffic is ephemeral, east–west dominates, and the most important activity never crosses a perimeter. To build real resilience in AI environments, security teams need observability that is software-defined and operates at scale without sacrificing fidelity. That is the foundation required to detect and stop AI-driven attacks in real time.” Snehal Patel, Chief Product Officer at Vectra AI, added, “AI agents are now first-class identities in the enterprise and increasingly, a powerful tool for attackers… we remove defender latency so attacks are contained before they spread to critical systems and data.”
