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SOLUTION BRIEF
Resource Center | Solution Briefs | Multi-Agentic System Orchestration

6 Agentic Systems. Hundreds of Specialized Agents. One Orchestration Layer.

GreyMatter orchestrates 6 agentic systems, intelligently decomposing requests into hundreds of purpose-built agents using 400+ AI tools. They collaborate and execute across your entire security stack without centralizing data.

Decomposing Security Disciplines into Hundreds of Agents

Each GreyMatter Agentic Teammate operates through hundreds of single-purpose agents—one per task type, scoped narrowly enough to execute with high precision. Incoming requests decompose into component tasks, and each piece routes to the agent built for that specific job. One agent builds detection logic. A different agent deploys it. Another validates coverage. They share context across disciplines and collaborate autonomously when work spans more than one domain.

Task Decomposition at the Agent Level

When the Detection Engineer receives a request like “build a rule for Scattered Spider activity,” it doesn’t execute as a single monolithic process.

The request breaks into discrete operations handled by specialized agents:

Interpretation agent Translates natural language intent into detection logic parameters.
Overlap agent Checks for conflicts with existing rules in your environment.
Testing agent Validates logic against historical telemetry.
Deployment agent Applies the rule to your connected technology.

The agents execute, then surface results to the user: proposed detection logic, overlap flags against existing rules, and test results validated against historical telemetry. The operator reviews, approves, and the Deployment agent applies the rule across connected technologies through the Universal Translator—same logic, translated to native syntax per tool. One prompt to deployed rule across the stack.

Orchestrating Work Across Disciplines

When a task crosses disciplines, GreyMatter activates additional Teammates automatically. They share context, pass structured output between each other, and trigger downstream actions without anyone routing between them. GreyMatter determines which Teammates need to engage based on environmental signals, the scope of the task, and cross-discipline dependencies.

Scenario

Cross-Discipline Orchestration: EDR True Positive

When your EDR fires a true positive, GreyMatter acts as the orchestration layer, evaluating the event type, affected asset context, and cross-discipline dependencies to determine which Teammates need to engage and in what sequence.

  1. The IR Analyst activates first: validates the alert against environmental baselines, scopes affected assets, and initiates containment actions through your connected endpoint and network tools.
  2. GreyMatter passes the IR Analyst’s structured output to the Intel Researcher and Threat Hunter simultaneously. Neither waits for a human to route the context or define the ask.
  3. The Intel Researcher receives the confirmed indicators and queries open, deep, and dark web sources for campaign attribution, related infrastructure, and TTPs associated with the actor cluster. The Threat Hunter receives the same indicators plus the affected asset map and launches hunts across connected technologies for lateral movement patterns the initial detection didn’t surface.
  4. As both return findings, GreyMatter evaluates whether the combined intelligence reveals coverage gaps. If it does, GreyMatter activates the Detection Engineer to generate new detection logic, validate it against historical telemetry, and stage it for deployment.

Each Teammate executed within its discipline. GreyMatter determined engagement order, routed structured context between them, and activated downstream Teammates based on what upstream work surfaced—without additional human prompting.

What Runs Beneath the Agents

The Universal Translator:

GreyMatter’s Universal Translator maps every individual field from any connected technology to OCSF at the source, with no data centralization required. Same detection coverage across multiple SIEMs and EDRs. Swap technologies without rebuilding detections. Operate in natural language—GreyMatter translates to native queries.

Automatic Model Selection:

Every time a task executes, the platform selects the best available AI model for that specific job based on cost, speed, and accuracy. Continuous A/B testing with an LLM-as-judge feeds results back into future model selection automatically. New models enter production same-day with automatic failover. No model management, no per-query pricing—use as much as you need for one price.

Interacting with the Agentic Layer

Natural-Language Orchestration:

Engage any Teammate in GreyMatter using plain language. A single prompt can activate one Teammate or coordinate several, even within the GreyMatter Mobile App.

Agentic Memory:

GreyMatter retains operational context across interactions—escalation paths, naming conventions, asset criticality tiers, and approval workflows. Memory accrues passively through normal operations or based on user addition.

See GreyMatter’s agentic layer in action.

One prompt. Hundreds of agents. Coordinated execution across your entire stack.

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