ExtraHop powers Agentic SOC – deep context for autonomous security operations- image 1

ExtraHop powers Agentic SOC – deep context for autonomous security operations

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ExtraHop announced the extension of its visibility and investigative analysis capabilities, which are crucial for building the so-called Agentic SOC – a modern security operations center supported by autonomous AI agents. The new functionalities address the growing challenges posed by AI-supported attacks and the increasing operational pressure on SOC teams.

ExtraHop powers Agentic SOC – deep context for autonomous security operations - image 1
AGENTIC SOC

Agentic SOC – promise of autonomy and real challenges

Many organizations today are investing in AI agents to automate incident analysis, conduct triage, and support threat response. In theory, this means faster decisions and relief for security teams. In practice, however, autonomous operation of agents requires a solid data foundation – precise, contextual, and reliable.

Without access to high-quality telemetry and correlation of user, device, application, and identity activities, AI agents cannot act fully autonomously. Instead of speeding up response, they may get stuck in ambiguous data or take actions that disrupt critical business processes.

ExtraHop addresses this gap by providing deep network intelligence. As a leader in the area of Network Detection and Response (NDR), it bases its approach on the premise that the network itself is the most reliable and immutable source of information about what is actually happening in the IT environment.

With deep protocol analysis, the platform generates rich network telemetry and correlates activity between devices, users, applications, and identities. As a result, SOC teams – and the supporting AI agents – receive a full event context, which allows them not only to detect threats but also to properly interpret and quickly neutralize them.

KEY ELEMENTS OF THE UPDATE

Combining identity context and network traffic

One of the key elements of the update is the extension of ExtraHop’s integration with leading identity management systems such as Microsoft Entra ID, Active Directory, and Okta. Combining identity data with network telemetry into one cohesive set of information significantly enhances the quality of analysis.

This means that SOC no longer only answers the question “what happened?” but also “who was responsible for it?” Enriched user data flows directly into dashboards, detections, and response mechanisms. This translates into faster investigations, reduced mean time to response (MTTR), and safer operation of autonomous agents.

Modern applications and AI-based workflows increasingly operate in Kubernetes environments and cloud-native architectures. Meanwhile, many organizations still have limited visibility of traffic within these environments. ExtraHop provides native capture and decryption of Kubernetes traffic and analysis of key resource metadata. This gives SOC teams full insight into communication between containers and microservices, which is essential in the context of advanced and hard-to-detect threats.

CONTACT US

Foundation for an autonomous SOC

While the concept of Agentic SOC is one of the key directions in cybersecurity development, its effectiveness depends on the quality of the data on which automation is based. ExtraHop focuses on providing deep context, bridging visibility gaps in user identity and Kubernetes environments. As a distributor of ExtraHop solutions, we support our partners and customers in building modern SOCs, integrating AI with security operations, and deploying next-generation NDR. If you want to learn how to prepare your organization for autonomous threat defense, we invite you to contact us!

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