ExtraHop Creates the Agentic SOC Alliance to Validate Architectural Requirements for the AI SOC
ExtraHop, a leader in real-time network intelligence and modern network detection and response (NDR), is introducing the Agentic SOC Alliance initiative to define and standardize this new SOC operating model: a three-layer architecture of Context, Harness, and Model that gives autonomous security agents the evidence, governance, and reasoning they need to act with precision.
“Post-Mythos AI has fundamentally changed cyber defense. Adversaries now operate at machine speed, yet most security operations are still built on architectures designed for a human-paced world,” said Greg Clark, CEO, ExtraHop. “The industry needs a blueprint for how autonomous security should operate that combines real-time context, intelligent orchestration, and specialized AI agents into a new operating model. The Agentic SOC Alliance is bringing that blueprint together, giving organizations a foundation to detect, decide, and respond with the speed and accuracy that modern threats demand. This is a starting point, not a finished one. We invite the rest of the industry to join the Alliance and help us refine, validate, and perfect this operating model, because outpacing a machine-speed adversary is a challenge no single company can solve alone.”
Founded by AuthMind, Armadin, Command Zero, CrowdStrike, Dropzone AI, Exaforce, ExtraHop, Fig, Intezer, Kindo, LangChain, Prophet Security, ReversingLabs, TENEX.AI, and Torq, this diverse coalition spans network detection, endpoint, AI-native SOC platforms, orchestration, and agent frameworks, and reflects the reality that autonomous defense cannot be delivered by any single vendor. The Agentic SOC Alliance establishes the requirements, best practices, and implementation blueprints for a SOC built for autonomy from the ground up, ExtraHop said.
As Mythos-class frontier models reshape the threat landscape, adversaries now automate reconnaissance, exploit development, and lateral movement at machine speed. Security teams are racing to deploy autonomous defenses of their own, but most of these AI systems flood analysts with false positives, send investigations down the wrong path, and let real threats slip through the noise.
The Agentic SOC Alliance closes that gap by uniting three foundational layers into a single post-Mythos architecture designed so autonomous agents can act with precision and be trusted to do it.
Two of those layers, Context and the Harness, are durable. The third, the Model, is interchangeable by design.
Context: Not a collection of telemetry sources, but a continuously updated, highly structured representation of enterprise reality that AI reasons over directly.
Context should provide an operational knowledge graph of every device, identity, workload, connection, and behavior, discoverable and semantically detailed enough that an agent can find exactly what it needs and understand what it means.
Harness: The AI runtime and orchestration layer that governs how agents operate, executing workflows, calling tools, managing state and memory, and coordinating agents across the environment, with governance, guardrails, permissions, human approval routing, and a complete audit trail as core responsibilities running throughout.
Model: The interchangeable reasoning layer, where specialized, multi-model AI performs triage, investigation, and response.
By aligning the Context, Harness, and Model layers across a shared ecosystem, the Agentic SOC Alliance helps joint customers modernize the SOC around a more accurate and governable autonomous operating model, said ExtraHop.
Within this ecosystem, ExtraHop delivers the high-fidelity, real-time operational knowledge graph, enriched with identity and endpoint data, that autonomous agents need. Its decrypted, protocol-level visibility closes the gaps that cause AI models to falter. Because that context arrives already structured, discoverable, and richly detailed rather than raw and fragmented, agents reach conclusions with lower reasoning complexity, fewer tokens, and less time and cost spent inspecting raw data, which makes autonomous detection, investigation, and response not just more accurate but more affordable at enterprise scale.
“The future of the SOC is agentic, and CrowdStrike is leading that transformation with the AI-native Falcon platform. Autonomous security operations require an open ecosystem that brings together the right data to investigate and respond with speed and precision. Our participation in the Agentic SOC Alliance extends the Falcon platform with high-fidelity network telemetry, helping customers accelerate investigations, automate response, and stop breaches,” said Daniel Bernard, chief business officer, CrowdStrike.
For more information about this, visit www.extrahop.com.