EY · Agentic GRC & Security Platform

Autonomous workflows,
assembled from atomic agents.

Compose GRC, DLP and security workflows on a canvas — drag in reusable agents, wire them to your live tools, and deploy a single config file to a runtime that already runs the agents. One platform, infinite workflows.

Trigger
Orchestrator
Retrieval
Scoring
Action
13+
Atomic agents
one harness each
23
Tool integrations
Axonius-style adapters
Composable workflows
manifest, not code
1 file
To deploy
agents run locally

Three moves. Any workflow.

The deterministic engine owns the facts and math; the agents own language and judgment. You own the composition.

01
Compose

Drag atomic agents onto the canvas and wire their typed ports. The orchestrator coordinates fan-out, parallelism and human-in-the-loop gates.

Open builder
02
Connect

Bind each agent's tool-port to a live connection — CrowdStrike, Okta, ServiceNow, Wiz and 20 more — through one unified gateway.

Browse integrations
03
Deploy

Download a single workflow config. The agents already run in your environment; the config just tells them how to behave. Reusable, modular, versioned.

How deployment works

A library of atomic agents

Each agent is one control loop plus a swappable tool and a persona. The same Retrieval agent grounds a DLP decision or an OWASP check — you just re-bind it.

Trigger
fires when its event arrives
Orchestrator
route → fan out to agents → gather → decide next → enforce policy
Retrieval
reformulate → retrieve → assess sufficiency → retry → synthesize + cite
Extraction / Classification
single structured-output call against a target schema / taxonomy
Model Builder
walk target → per-unit extract → assemble structured model
Hypothesis-Test
generate testable hypotheses → run analyzer → confirm / reject with evidence
Runtime-Execution
launch & drive the live target → probe → observe → report
Verification
walk a supplied checklist → check each item against the artifact
Assessment / Review
free reasoning over the model against a rubric → findings
Synthesis / Reduce
collect findings → dedupe → theme → prioritize → track lifecycle
Action / Execution
decide → call external system → handle result → record
Narrative / Report
structured data → audience-shaped prose

Connect the tools your clients already run

23 vendor adapters with credentialed connections, a real lifecycle and correlated assets — through a single gateway.

CrowdStrike FalconSentinelOneTrellix ePOQualys VMDRTenableRapid7 InsightVMWizMicrosoft Entra IDOktaMicrosoft IntuneJamf ProServiceNow CMDBCisco MerakiCisco UmbrellaZscaler ZIAZscaler ZPAZscaler RBAZscaler AI GuardAppOmni AgentGuardForcepoint DLPRecorded FutureVirusTotalDigiCert
Deployment

Ship a config, not a codebase.

The agent runtime is already installed in the client environment. A workflow is just a declarative config that tells those agents how to behave — which harness, which tool, which persona, which connection. Download it, drop it in, run it.

  • Reusable the same agents power every workflow
  • Scalable references, not bundled code — one runtime, many configs
  • Adaptable re-bind tools & personas without a redeploy
  • Modular each node is an independent, versioned unit
aegis.autoflow.json
{
  "autoxConfigVersion": "1.0",
  "workflow": { "id": "aegis", "name": "AEGIS — DLP Triage" },
  "nodes": [
    { "id": "orch", "use": "orchestrator",
      "bind": { "routing": "graph" } },
    { "id": "threat", "use": "retrieval",
      "bind": { "tool": "web", "persona": "authoritative",
                "connection": "fp-dlp" } },
    { "id": "act", "use": "action", "hil": true,
      "bind": { "tool": "servicenow",
                "connection": "snow-cmdb" } }
  ],
  "policies": { "hil": ["act"], "audit": "all" }
}

Build a workflow in the next five minutes.

Open the canvas, drop in the AEGIS reference, press Run, and watch the agents think.