Thank you to AI Breakthrough Awards for naming Vectra AI the AI Security Solution of the Year in the 2026 AI Safety, Security & Compliance category. We are grateful for the recognition, especially in a market where every security company has an AI story, every SOC conversation has an agentic SOC angle, and every buyer is trying to separate what is useful from what is noise.
For Vectra AI, the AI story has always started in the same place: trusted signal intelligence. Security teams need to understand what happened, who or what was involved, how the activity unfolded, and why it matters. AI does not change that need. It raises the bar for it. Because without trusted signal, agentic AI just accelerates noise.
That is the core of why this recognition matters to us. AI agents in the SOC, when equipped with the right signal, can move fast, ask questions, summarize activity, generate searches, and help teams work through large volumes of security data. But speed only helps when the underlying signal is accurate, contextual, and tied to real attacker activity. The value of AI in the SOC depends on the quality of the data and context it can reason from. Fabien Guillot explains this well in AI Agents in the SOC: Moving from AI Hype to Operational Reality: the practical question for security teams is where to start, what to trust, and how to make AI useful without creating another operational mess.
This is where Vectra AI focuses. As a 2025 and 2026 Leader in the Gartner® Magic Quadrant™ for Network Detection and Response (NDR), Vectra AI signal intelligence helps explain what happened: which systems communicated, which protocols were used, how entities interacted, where lateral movement appeared, where command-and-control appeared, and how data moved. Identity data helps explain who or what was involved: the user, service account, machine identity, workload, cloud identity, privilege, access pattern, authentication activity, and trust relationship tied to the activity. Signal intelligence brings those together so security teams can understand why the activity matters.
That matters for teams building their own Agentic SOC. These organizations want to own their AI architecture, data pipelines, agent frameworks, and security engineering workflows. Vectra AI gives them domain-specific detections, network metadata, identity context through capabilities like Identity Threat Detection and Response and Account Association, entity attribution across assets and identities, API-accessible signal, and MCP-ready access. In plain terms, we provide detections and the context behind them so enterprise teams can feed trusted signal into the AI systems they are building.
It also matters for teams adding agentic capabilities to the SOC they already run. Vectra AI provides AI triage, correlation, and prioritization to connect related activity across domains and surface the hosts and accounts that need attention. Attack graphs help teams see how activity connects across entities, accounts, hosts, and infrastructure. Investigation and hunting capabilities help defenders move from signal to evidence. AI-Assisted Search helps teams ask questions in plain language, explore metadata, and review generated searches before running them.
The third path is operationalizing AI and signal intelligence with help from Vectra AI experts. Many teams know where they want to go with AI, but they need help making it work in the SOC they already run. That work is practical: integrate signal into existing processes and tools, monitor what matters, turn threat hunting into a repeatable practice, optimize signal quality and workflows, support response decisions, and prove measurable improvement over time. That is where resources like Vectra MXDR, Managed Services, the Threat Hunting Methodology guide, and Reporting on the Vectra AI Platform help teams turn signal intelligence into daily practice.
That is the part of AI security I think deserves more attention. AI is not just a technology conversation. It is a trust conversation. Can we trust the signal? Can we understand the context? Can we see the evidence? Can we keep people in control where judgment matters? Can we show that security is improving?
Those are the questions Vectra AI is built to help answer. We are thankful that AI Breakthrough recognized that work. We see it as validation of the work our teams have been doing for years and motivation to keep helping defenders build, add, and operationalize AI with signal intelligence they can trust. We also know the work continues to earn and keep that trust.