Security operations centers (SOCs) are increasingly integrating artificial intelligence (AI) to manage the rising complexity of cybersecurity threats. Recognising a gap in actionable insights, ExtraHop has unveiled a suite of enhancements aimed at empowering SOCs with autonomous AI capabilities.
AI-driven SOCs can now leverage ExtraHop's advanced visibility and forensic capabilities. The platform delivers deep network, identity, and Kubernetes telemetry, allowing AI agents to not only detect anomalies but also respond autonomously, minimising reliance on human intervention.
The new capabilities utilize ExtraHop's network telemetry to deliver comprehensive, contextual insights. This ensures AI agents can identify and correlate activities across devices, users, applications, and identities. As a result, security teams can address threats at machine speed, enhancing overall efficiency.
ExtraHop has reinforced its platform by embedding it with identity systems such as Entra ID, Active Directory, and Okta. This integration enriches data on user interactions, providing SOC teams with the essential context for quick threat investigation and response, ultimately reducing Mean-time-to-Response (MTTR).
The enhancements extend to cloud-native applications, providing full visibility into Kubernetes environments. SOCs can capture, decrypt, and analyse Kubernetes traffic rapidly, empowering AI agents to make data-driven decisions swiftly and with precision.
With the introduction of the ExtraHop Query Language (EQL), AI agents can efficiently query voluminous network data to extract necessary information, fostering accurate threat detection and automated responses via APIs and Model Context Protocol (MCP) servers.
In essence, these developments by ExtraHop address a significant challenge faced by modern SOCs—the need for clear and enriched data to enable AI-driven threat management. As organisations continue to embrace AI in their cybersecurity strategies, these refinements are pivotal in ensuring autonomous operation without compromising pace or accuracy.
