The increased risk that AI-enabled threats pose has led to organizations deciding that a strength-in-numbers approach can improve resiliency.
Over the past few months, a number of alliances, programs, and integrations have developed to secure channel organizations and their customers.
Among these is ExtraHop, a provider of real-time network intelligence and modern network detection and response (NDR), announcing the launch of the Agentic SOC Alliance.
ExtraHop outlines an operating model for agentic SOCs
This initiative defines and standardizes a new SOC operating model: a three-layer architecture of context, harness, and model which gives autonomous security agents the evidence, governance, and reasoning they need to act with precision.
Inaugural alliance members include AuthMind, Armadin, Command Zero, CrowdStrike, Dropzone AI, Exaforce, Extrahop, Fig, Intezer, Kindo, LangChain, Prophet Security, ReversingLabs, TENEX.AI, and Torq.
This coalition spans network detection, endpoint, AI-native SOC platforms, orchestration, and agent frameworks.
Alliance establishes best practices for AI SOCs
According to Extrahop, post-frontier-AI adversaries can find vulnerabilities, weaponize them, and move laterally within minutes, and the queue-enrich-triage-investigate pipeline must be replaced by an operating model built for autonomy because of this.
This Alliance establishes the requirements, best practices, and implementation blueprints for a SOC built for autonomy from the ground up.
“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.”
OpenAI Daybreak expands the security partnership trend
The news of this Alliance comes at a unique time for organizations in the tech space as AI changes how enterprises must defend themselves and their customers.
The OpenAI Daybreak Cyber Partner Program is a recent initiative launched by the frontier AI company that uses LLMs, Codex’s agentic capabilities, and security partners to shore up security posture.
Daybreak is considered OpenAI’s answer to Anthropic’s Project Glasswing, built around Claude Mythos Preview, and will work with partners to deploy cyber-capable models to build autonomous cyber defense capabilities into software from the start.
Among those already within the program are Cloudflare, Cisco, CrowdStrike, Oracle, and Zscaler, with Proofpoint and SonicWall recently joining the fold.
For channel partners, the tools provided by participating in Daybreak mean adding AI-based support to services the partners already provide, rather than rebuilding customer environments around a separate system.
“The most advanced protection has consistently reached the largest enterprises first and the businesses that keep the economy running last,” said Chandro Prasad, Chief Product Officer, SonicWall. “Daybreak through SonicWall flips that. This capability should not be reserved for the organizations that can already afford every advantage. We are putting it in reach of the mid-market and SMB, through the partners who already serve them.”
Integrations create new opportunities for MSPs
In addition to organizations teaming up within programs and alliances, 2026 has seen a number of companies teaming up as MSPs increasingly become AI security integration advisors.
Customers are increasingly expecting partners to deliver AI governance, cybersecurity, and hybrid infrastructure expertise together – rather than as separate services. Channel organizations are responding in kind too.
Recently, Cato Networks and CrowdStrike debuted an integration between the two companies that combines network telemetry with endpoint detection to create a unified security operations workflow.
The integration improves detection of AI-assisted lateral movement, enables SOC teams to investigate from a single interface, and works toward eliminating visibility gaps that AI-powered threat actors can exploit.
Channel partners move toward unified security ecosystems
The next phase of cybersecurity services in the channel will revolve around integrated security ecosystems rather than standalone AI tools.
With AI enabling advanced phishing, autonomous malware, and machine-speed credential attacks, enterprises are prioritizing integrations that share telemetry, automate correlation, and orchestrate response across endpoint, network, identity, cloud, and recovery platforms.