ExtraHop has introduced new visibility and forensic capabilities in its network detection and response (NDR) platform to empower the agentic SOC with deep, contextual network intelligence essential for autonomous AI agents to detect, triage, and respond to sophisticated threats at machine speed.
ExtraHop, a leader in modern network detection and response (NDR), announced advancements designed to bridge the intelligence gap preventing widespread adoption of fully autonomous, agentic security operations centers (SOCs). As AI-assisted attacks escalate and SOC workloads intensify, organizations increasingly turn to AI agents as force multipliers. However, these agents require rich, actionable context to function effectively without human oversight.
ExtraHop delivers this foundation through deep protocol analysis and comprehensive network telemetry that correlates activity across devices, users, applications, and identities. This contextual depth equips AI agents to reason autonomously, triage anomalies, enrich investigations, and execute responses against evasive threats with unprecedented speed and accuracy.
"The perceived advancement of the agentic SOC is an illusion for most, as a lack of high fidelity, contextual data silently undermines the system's efficacy and prevents enterprises from realizing any actual benefit from their agents,” said Kanaiya Vasani, Chief Product Officer, ExtraHop. "The network remains the immutable source of truth for the modern enterprise and ExtraHop unlocks that potential for the agentic SOC, driving agentic operations with robust and highly contextual insights. ExtraHop is providing holistic visibility into the most complex segments of the modern attack surface to help enterprises stop advanced threats with unprecedented speed and precision."
ExtraHop has integrated with leading identity providers—Entra ID, Active Directory, and Okta—to combine robust identity attributes with real-time network telemetry into a unified dataset. This fusion enriches dashboards, detections, and automated response actions, empowering AI agents to investigate complex incidents with greater clarity and significantly reduced mean-time-to-response (MTTR). Without this integrated view, agents risk ambiguity or unintended disruption of legitimate workflows.
The platform now provides complete visibility into Kubernetes-powered cloud-native applications and agentic workflows. ExtraHop natively captures and decrypts Kubernetes traffic while analyzing critical resource metadata, delivering the integrated telemetry that SOC agents need to make fast, deterministic decisions in dynamic containerized environments.
ExtraHop introduces secure mechanisms for AI agents to consume network intelligence, including the ExtraHop Query Language (EQL) for rapid, selective querying of vast telemetry volumes and support for APIs and Model Context Protocol (MCP) servers. These features enable agents to automate threat detection, investigation, and response while maintaining precision and security.
"AI tools are only as good as the insights powering them and while creating the agentic SOC is a leading initiative for a number of enterprises, a lackluster source of data is holding them back from success,” said Chris Kissel, Research Vice President, Security & Trust Products, IDC. "ExtraHop is solving this by doubling down on context and further closing the visibility gaps impacted by unobserved Kubernetes environments and user identities. Having this level of insight is critical for organizations deploying AI agents and allows adoption of autonomous operations to continue without sacrificing the pace of innovation."
These updates strengthen ExtraHop’s position in enabling enterprises to deploy effective autonomous security operations without compromising visibility or control.
About ExtraHop
ExtraHop turns the network - the enterprise’s ultimate source of truth - into actionable insight to power security, performance, and resilience. Delivering superior data by design, we ensure superior defense by default. The ExtraHop modern network detection and response (NDR) platform provides visibility that thinks, analyzing behavior to intercept evasive risks before they cause damage. We transform network noise into definitive context, enabling security teams to make faster decisions and operate at uncompromised scale.
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