Three ways in.
Every use case starts as an event, a question or a request, and all three run on the same platform.
An alert at 03:12. Contained by 03:13.
Nobody is awake. The event bus starts a pipeline, and every step is bounded and on record.
Suspicious sign-in
New device, new country, at 03:12
- ScorePredictRisk 0.94 from your own model8 ms
- InvestigateAgenticInferenceMatches credential stuffing2.4 ssign_in_history()device_lookup()geo_velocity()3 of 5 rounds
- ContainTool Callif risk ≥ 0.8Sessions revoked240 ms
- Sessions revokedIdentity provider
- Ticket SEC-2041 openedService desk
Every step on record
Where it lands.
A few of the use cases, by industry, each with the components it runs on.
Pick one to watch it run.
Financial Services
Document-heavy work, with a complete record of every model interaction.
Pull structured data out of contracts, filings and reports, on a model that runs inside your network.
Score every counterparty with your own models, then let a language model explain what moved.
Check new rules and guidance against your obligations every morning, and flag the ones that change something.
Score each payment with your own fraud model in milliseconds, and hold the risky ones before they settle.
IT Operations
Triage, remediate and automate across the toolchain you already run.
Pull logs, deploys and metrics from behind your firewall, check past incidents, and name the likely root cause.
Transcribe, classify and answer requests, drawing on the fixes that worked before.
Turn manual runbooks into pipelines, with a person approving before anything changes.
Review every config change against your policies, test it in a sandbox, and check the live system for drift.
Security Operations
AI for security teams that runs inside your boundary and shows its work.
Ask about an indicator in Cortex and get the feeds, your own sightings and a verdict in one answer.
Gather context, summarize on a model inside your network, and wait for an analyst before acting.
Collect, normalize and score logs every hour, and keep them searchable in a volume.
Run response playbooks step by step: inspect in a sandbox, decide, contain, and tell the rest of the mesh.
Twelve use cases.
One platform.
Same pipelines, same models, same record. Yours runs here too.
- Inference
- Agentic Inference
- Predict
- Media
- Local model
- File
- Volume
- Memory Query
- Transform
- Tool Call
- Function
- Sandbox
- Bridge
- Parallel steps
- Conditions
- Approval
- Emit Event
Discuss your use case.
Tell us what you need and we will map it to the platform.