At Black Hat USA, AI-native security and observability leader Vectra AI unveiled Vectra AI Pro, a newly launched offering engineered to help enterprise enterprises safely deploy artificial intelligence across Security Operations Centers (SOCs) through high-fidelity, trusted signal intelligence.
In an era defined by rapid, machine-speed cyber threats, modern security organizations are increasingly turning to AI-driven workflows to match the tempo of adversaries. However, the efficacy of AI agents remains entirely dependent on the quality of underlying telemetry. While legacy platforms often rely on fragmented data sources, Vectra AI Pro delivers a continuous, unified synthesis of network, identity, cloud, SaaS, EDR, and SASE telemetry to expose complex attacker behavior across all digital domains.
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“Everyone has AI today. Vectra AI’s advantage isn’t that it uses AI. It’s that it applies AI to understand attacker behavior. As attackers themselves become AI-powered, the winning defense won’t be the one with the most detections, it will be the one that delivers trusted signal intelligence,” said Hitesh Sheth, President and CEO of Vectra AI. “Our attack signal intelligence arms humans and AI agents to proactively remove attack exposure and rapidly stop active attacks in progress.”
“AI is changing the speed of attacks, so defenders have to respond at that same pace,” said AJ Wiggan, Security Operations Manager at Gamma. “For us, Vectra AI brings together correlated network, identity, and cloud signals with the context to understand what happened before, what happened afterwards, and the full attack story. That helps us compress investigation and response, act with greater confidence, and stay ahead of attackers.”
Powering the Agentic SOC with Trusted Signal Intelligence
Vectra AI Pro serves as the foundational intelligence engine for modern security architectures by combining four core pillars:
- Behavioral Intelligence: Tracks adversarial techniques across every stage of the cyber kill chain from initial reconnaissance and credential abuse to privilege escalation, lateral movement, command-and-control (C2), and exfiltration.
- Identity and Device Intelligence: Maps activities directly to specific user accounts, AI agents, service credentials, cloud workloads, managed hosts, and unmanaged devices while unifying multi-domain telemetry into a cohesive incident story.
- Risk and Forensic Intelligence: Automatically highlights critical assets, attack paths, and elevated risk profiles, providing AI agents with deep context regarding what occurred, the blast radius, and the underlying motivation.
- Exposure Validation: Equips autonomous and human analysts to hunt, investigate, remediate, and verify that exposure surfaces are effectively minimized and threat vectors neutralized.
Vectra AI’s innovation in signal intelligence was recently highlighted in the 2026 Gartner® Critical Capabilities for Network Detection and Response.
Three Deployment Pathways for Enterprise Adoption
To accommodate varying levels of AI maturity, Vectra AI Pro provides three operational approaches for implementing an Agentic SOC:
- Build Your Own Agentic SOC: Organizations constructing bespoke security automation can harness Vectra AI Pro as a reliable signal layer via REST APIs, Model Context Protocol (MCP) Servers, and specialized AI skills for automated IOC enrichment, packet capture (PCAP) extraction, and threat hunting workflows.
- Integrate Agentic Workflows: Teams enhancing established SOC operations can leverage Vectra AI Pro’s embedded agents to automatically surface, correlate, prioritize, and generate natural-language case summaries that outline prioritized threats and actionable response steps.
- Operationalize AI Security Experts: Enterprises seeking dedicated implementation guidance can work alongside Vectra AI experts to operationalize threat hunting, streamline response workflows within existing toolchains, and demonstrate clear risk reduction metrics.
