Swimlane debuts AI SOC with agentic backend to tackle cybersecurity operations
Swimlane debuts AI SOC with agentic backend to tackle cybersecurity operations
Publish Date: 2026-02-18 11:25:00
Source Domain: siliconangle.com
Swimlane Inc., leader in agentic artificial intelligence automation for cybersecurity, today announced a new role in its security analyst playbook with an AI security operating center operated by proactive agents instead of reactive assistants.
The company said the new AI SOC represents a shift in security thinking by putting “deep agents” in the trenches where they handle the cognitive load, but remain auditable and transparent, keeping enterprises and startups prepared for what’s coming.
“Deep agents tackle tough, complex problems with methodical reasoning, while expert agents quickly handle specific, skilled tasks,” said Cody Cornell, co-Founder and chief executive of Swimlane.
The new solution comes with over 100 knowledge base articles out-of-the-box rooted in best practices and organizational context. The underlying network of agents provides its own guardrails for trustworthy action at scale and customers maintain complete control to review, modify and rebuild AI-generated plans and workflows – every action is explainable and auditable.
“With Swimlane AI SOC, we’re augmenting our analysts with intelligent automation that improves efficiency, sharpens focus, and strengthens our ability to proactively counter cyber threats,” said LeAnn Cary, vice president and practice leader of cybersecurity solutions integrator Optiv Security Inc.’s Advanced Fusion Center.
AI agents moving into security faster than ever
When large language models first entered the scene, they provided a breakthrough in security thinking. They could quickly take big data analysis of anomalies and patterns in unstructured data and sift through it to “see” unlikely or stand-out behaviors in traffic that didn’t fit.
However, the first uses of large language models began as assistants, which were conversational interfaces and analysis tools set atop preexisting security instrumentation used as a layer, running only when called on. The advent of agents has…
