Traditional SOARs can't reason and have no enterprise knowledge graph context, so they run static playbooks and basic enrichment while most SOC work stays manual.
Anvilogic's AI OS builds automation that reasons across your environment with context from the enterprise security graph. It makes decisions, can record memory, and improves as you go, with human approvals wherever you need them.
Traditional SOARs can't reason, and they carry no enterprise graph context. That's why they mostly run static playbooks and basic functions like enrichment, and why most of the SOC's work never actually gets automated. The queue still lands on a person.
Anvilogic's AI OS finally lets you build automation workflows that reason across your environment, using context drawn from the enterprise security graph. They make decisions, memorize them, learn over time, and improve as you go. And it's fully customizable: you decide how much to automate, with human approvals wherever they're warranted.
Blueprints chain AI agents across onboarding, search, detection, investigation, and response into one governed workflow that runs the way your team already works, with a human approval gate wherever you want one.
Your team defines every step, tool, and decision point. The AI executes your method, not a vendor's assumption of one.
Named, ordered, and inspectable, with approval checkpoints wherever your process needs a human decision.
Blueprints accumulate context, tools, exceptions, and false positives, so knowledge compounds instead of walking out the door.
New automation ships as a new Blueprint inside the platform you already run, not another product to buy.
Make the AI OS your automation layer. Workflows reason over the enterprise security graph and drive response directly through connectors to your stack, no SOAR required.
Keep Tines, Torq, or Cortex XSOAR. Anvilogic reasons, decides, and memorizes, then hands the decision-ready case to your SOAR to execute, so static playbooks start from real verdicts.
Start by augmenting, then move automation onto Anvilogic on your own timeline. The graph context and learned decisions carry over. Cutover's a decision, not a deadline.
SOAR and SIEM pricing punish you for scale: more data, more playbook runs, a bigger bill. Anvilogic is metered by the AI and agent work performed, not by the raw data you ingest.
Buy credit packs, then spend against them only as Blueprints run the workloads you choose to automate. You're charged for the value you get, an onboarding job completed, an investigation closed, a response driven, not for sitting on data. Daily budget controls give security and finance predictable guardrails on AI spend, so automation scales without a surprise at renewal.
Purchase credits sized to the level of automation you want to run.
Credits are drawn only as Blueprints run the jobs you choose to automate.
Predictable guardrails on AI spend for security and finance, so automation scales without surprises.
See a Blueprint run a full workflow end to end, decide, and drive the response, standalone or through the SOAR you already own. No data movement, nothing ripped out.
