I already have automation - why would I buy another tool?

Your SOARs, SIEMs, and automations assume security is predictable - it's not. They break when things change. Mate elevates your team by using organizational wisdom to adapt in real time - pulling context, correlating data, working with custom apps, and giving analysts the right data at the right moment.

What makes Mate different from other AI SOC solutions?

Three things set Mate apart: instant organizational context, works with any tool, and keeps getting smarter.

Can Mate work in our unique complex environment with our custom-built tools, scripts, and homegrown systems?

Yes. Mate works across your entire security ecosystem.

How can Mate deliver value on Day 1 if it hasn't learned anything yet?

Most investigations start from zero, forcing analysts to rebuild context each time. Mate changes that. It instantly learns your organization by ingesting tickets, documentation, incidents, configurations, and behavior patterns in hours, not months. With full context from past investigations and decisions across teams, a "suspicious login from new geo-location" is resolved in seconds.

Does Mate only generate insights or can it also take actions?

Mate doesn't just advise, it acts. It gathers evidence, correlates data, and as you build trust, can make decisions and close tickets with full documentation. For complex threats, it handles the manual work so analysts can focus on security thinking. You control the autonomy and keep oversight as trust builds. The result: simple cases resolved in seconds, complex ones in minutes.

Gamebooks

the agentic game plan for investigation and response

A Gamebook is Mate’s investigation process - built for AI agents. SOAR playbooks are deterministic and brittle. Unbounded AI SOC agents are hard to trust. Gamebooks are the sweet spot: a structured investigation process where AI agents reason and pivot dynamically within every step, and are fully customizable to align with your processes.

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The Evolution of Automation

Different philosophies. Different outcomes.

Legacy Soar

Human-Authored Playbooks

Fully deterministic investigation. Brittle and breaks when things change. Needs ongoing maintenance

Low Adaptability High maintenance

SOAR + AI

AI-Authored Playbooks

Same playbook architecture.  AI-assisted authoring reduces maintenance but all other problems remain.

same architecture, AI authored

agentic investigation

Glass Box AI

Dynamic, but unbounded - inefficient and hard to trust. Does not follow your playbooks. Not customizable.

dynamic, but
hard to trust

Gamebooks

Designed Intent

Follows your SOPs. Dynamic & agentic in each step, with boundaries. Extendible and open.

dynamic, trusted customizable and aligned with your SOPs

Deterministic where it can. intelligent where you need it.

A football team doesn't script the whole game before kickoff, but it has a game plan: what to achieve, how to read the field, which rules never break. A Gamebook works the same way: investigative intent, not vendor API calls.

What a Gamebook Knows

What must be investigated

Which evidence is needed

Which conditions change the investigation

Which actions are permitted

When agents must escalate, stop, or request approval

how gamebooks work

Gamesbooks are deterministic about intent.

A gamebook defines how to investigate, what evidence is required, which actions are permitted, and what approval boundaries apply.

Agents are dynamic about execution.

Gamebooks activate agents. Agents decide which skills to invoke next, which evidence to pursue, and when new context requires a pivot.

Tool use is abstracted

Tools are queried as a separate flow, with access restrictions for their current task. An Endpoint Profile Collection Flow might collect information from the sources available in that environment: CrowdStrike, Microsoft Defender, Device42, An MDM platform or a custom data lake. Tools can easily be changed by replacing Flows, without breaking investigation processes.

customize, build
Make them Your Own

Building agentic workflows is hard. With Mate you get elite gamebooks out of the box, and bring your own knowledge in two ways, no rip and replace:

two ways to make game books your own

Migration

Bring your playbooks

Mate translates your SOAR playbooks into Gamebooks. Brittle API calls get replaced. Your custom logic stays.

Extension

Describe what you need

Gamebooks are extendable by design. Write the investigation in plain language. Use your Workflows, 3rd Party Tools, 1st Party Tools and Best of Breed Agents. Mate tests it against past cases, runs it in shadow mode, then waits for your sign-off.

Migration

Gamebooks work through changes

Your reality keeps changing. Gamebooks keep working because they are driven by intent and Mate’s context graph, not hard coded API calls and individual knowhow.

Extension

Ownership - On Us

Building and testing agents is no longer your problem. When you customize a Gamebook, it runs through Mate's evals and tests before it goes live. This used to be your problem if it broke. Now it's ours.

SOAR playbooks vs. Mate gamebooks

what happens when

SOAR playbook

MATE GAMEBOOK

6 of 12 nodes need rewriting.
New vendor, new APIs, new playbook.

Zero changes needed.
Same Gamebook. New connector swapped in automatically.

0 of 12 nodes work.
Different tools, different infrastructure, different assumptions. Rebuild from scratch.

No automation rebuilt.
Different stack, same investigative logic.

Pre-built.
Active from day one. Mate ships Gamebooks for core investigation domains.

The playbook runs.
The reasoning behind it left with Sarah.

No single-author dependency.
Knowledge lives in the graph, not in one person's head.

the agentic game plan for investigation and response