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Home»Interviews»Anvilogic Launches Agentic Workflow Automation for AI SOC
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Anvilogic Launches Agentic Workflow Automation for AI SOC

Editorial TeamBy Editorial TeamMarch 24, 2026Updated:March 24, 2026No Comments3 Mins Read
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Anvilogic launches Blueprints workflow automation for AI SOC at RSA 2026.

Anvilogic, the AI SOC platform, introduced the launch of Blueprints, a brand new workflow automation functionality, at RSA 2026 (Sales space 350-S, March 24–26). Blueprints transforms the experience of seasoned analysts into repeatable, improved, team-wide automation, embodying how your most skilled workers strategy safety operations.

As an alternative of requiring specialised engineers to construct and keep code, Blueprints lets analysts creator automation in pure language, deploy it the identical day, and have it execute to automate processes throughout information onboarding, detection engineering, risk looking, investigation and response.

“Your greatest analyst, at infinite scale,” mentioned Mackenzie Kyle, Chief Product Officer at Anvilogic. “Blueprints captures how your most skilled analysts work and converts these strategies into repeatable, automated workflows on your AI SOC. Your complete staff operates on the high of their sport, and will get smarter with each run.”

What’s Blueprints?

Blueprints is Anvilogic’s AI automation layer, which permits analysts to create reusable, task-specific AI workflows with pre-configured directions, context, integrations, and reminiscence. Consider them as specialised AI brokers for particular safety domains — constructed by your senior analysts, run by your total staff. The muse for Blueprints is Anvilogic’s enterprise-proven AI SOC platform containing the required information data, the detection engineering and the triage & investigation layers.

Additionally Learn: AiThority Interview with Glenn Jocher, Founder & CEO, Ultralytics

Not like conventional SOAR methods that function on noisy alert streams, Blueprints run on our Enterprise Safety Graph. We’ve constructed years of context within the platform to find and mannequin enterprise SOC artifacts—together with occasions, alerts, normalizations, information fashions, guidelines, and workflows—mapping them on to detection, investigation, and triage workflows.

The Drawback It Solves

Safety operations groups usually depend on their most skilled analysts to interpret alerts, apply investigative judgment, and coordinate the actions that observe. Over time, these analysts develop a deep understanding of how alerts needs to be triaged, what context issues, and which actions transfer an incident towards decision. Nonetheless, a lot of this experience stays casual and captured in static runbooks, documentation, or particular person expertise that’s tough to use constantly throughout a staff.

Conventional SOAR platforms promised constant orchestration and automation, however usually launched a brand new function: the SOAR engineer. Constructing and sustaining playbooks required Python scripting, schema wiring, and ongoing integration work, turning automation right into a specialist self-discipline. Blueprints removes that barrier.

“When a brand new analyst joins your staff, they shouldn’t be studying your SOC’s tribal data,” mentioned Karthik Kannan, founder and CEO of Anvilogic. “They need to inherit it. Blueprints encode what your senior individuals know and make it operational at scale. That’s not changing analysts. That’s multiplying them.”

Buyer Validation

Anvilogic is shifting to an AI-native SOC platform. That is achieved by means of our Enterprise Safety Graph and AI automation structure the place each functionality from risk looking and incident response to compliance turns into a “Blueprint” that may automate a course of inside the SOC. This structure is already permitting safety groups in telecom, enterprise SaaS, and demanding infrastructure to make use of Blueprints to scale their operational workflows with out growing headcount. Fortune 1000 enterprises have efficiently switched to Anvilogic’s AI SOC platform, and modernized their safety operations with AI in addition to rationalized their instruments and optimized their spend.

Additionally Learn: ​​The Infrastructure Struggle Behind the AI Increase

[To share your insights with us, please write to psen@itechseries.com]



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