◉ how our platform solves this · security
own the perimeter. we watch the rest.
The work is the point — but the watch drags behind every piece of it: the prep, the formatting, the checks before anything goes out, the same steps run again and again. It’s the work around the work, and it never finishes.
◉ the answer
Agentic workflows run detect → investigate → contain on your own infrastructure — against your own models — with a human on the gate for anything that acts, and the record written as it goes.
◉ how we solve it · our process
- Chat — you state the goal in plain language; we shape the work with you.
- Flows — it becomes a repeatable workflow, on rails and fully auditable.
- Missions & Fleets — coordinated across as many instances as the job needs.
- Synth · Brainbow · Code Mode · Exec — the right tool spun up for each step: a throwaway utility, a driven browser, code run against your real systems.
- your ground, your gate — every step on your infrastructure, a human approving anything that acts.
◉ the mechanism · what actually happens
One request, walked end to end — every step on your infrastructure, against your own models, with a human on the gate.
- ChatMode
You state the goal in plain language — “triage the alert, investigate, stage the containment.” ChatMode plans the work and dispatches its built-in agents — planning, data-query, validation, synthesis — to decompose it into pull, analyze, act, assemble. No prompt engineering, no scripts.
- SmartModelRouter
Each step is routed to a model that fits it — a fast model to triage a flood of alerts, a long-context model to read a long incident or audit trail, a strong reasoner to judge whether an event is a real threat — across the providers you register. Bring your own models and run them on your own infrastructure; the security telemetry, the identities, and the findings stays inside your network.
- MCP tools · OBO credentials
Agents reach your SIEM, identity provider, cloud audit logs, EDR, and asset inventory as MCP tools, each call running under your own identity. The platform forwards your scoped credentials per call — no shared token, no pooled service account, no secret pasted into a prompt. Every call is logged.
- System & Security · API tokens
Programmatic access is scoped, not blanket. Every API token is issued with explicit scopes and a status you can see and revoke — so an integration gets exactly the access it needs and nothing more, and a leaked or stale token is a known quantity, not an open door.
- Network security · egress control
Nothing leaves your network unless you allow it. Per-service egress NetworkPolicies and IP allowlists pin down exactly where each service may talk — your model host, your executors, your code manager — so even a compromised component can’t exfiltrate to somewhere you didn’t sanction. Sovereignty enforced at the network layer, not promised in a policy doc.
- Tool Synthesis · Code Execution
Sources never agree on format. Code Execution writes a one-shot Python tool on the fly to correlate indicators across sources and stage a containment action — credentials injected at runtime, run in a hardened sandbox, then discarded. No tool is registered, nothing persists.
- AgenticWorkflows
The detect → investigate → contain flow becomes a flow of named agents — repeatable, auditable, on rails. And there’s more behind sign-up: continuous control monitoring, access-review automation, and the posture-drift sweeps — the many ways the platform runs this, with more revealed after you sign in.
- HITL approval
Nothing acts until you say so. The human-in-the-loop gate is real architecture, not a setting — any step that would contain or revoke stops and waits for a person; if no one approves, it times out and is denied. You review the plan and the scope, and approve before anything happens.
- Code Mode · build the security tool, don’t wait for it
The detection rule, the triage helper, the log-parser you keep putting off — Code Mode drafts it on your own stack and proves it with tests, gated by your review before it touches anything live. You stay on the threat work and the calls only you can make; the agent builds the tooling you’d otherwise queue for months, so a lean security team covers more without thrashing.
- DLP · secret scanning
Before anything is stored or sent, it’s scanned against a library of data-loss rules — AWS keys, GitHub and Slack tokens, JWTs, Azure secrets, and dozens more — so a credential that slips into a prompt or a log is caught and blocked at the boundary, not after it has already left. The rule set is yours to tune, and you can see what it’s catching.
- Audit trail · DLP · RBAC
Every model call, every tool call, every approval is written to an append-only audit log — once a decision is recorded it’s frozen, so the trail is tamper-evident. DLP keeps sensitive material inside your network, and role-based access scopes who can do what. It’s a record you can stand behind.
The toil ran itself, it acted only on your nod, and the record is already written — and that’s one flow. Continuous control monitoring, access-review automation, and the posture-drift sweeps are waiting behind sign-up.
◉ go deeper
Run it on your own infrastructure — or with us.
Talk to us to see the platform on your stack — governance, fleet, support, and the enterprise capabilities. Or self-host the platform in your own environment and run the whole thing today.
The platform self-hosts in your own environment — chat, flows, and the ops MCPs. Fleet, Mission, CodeMode, governance and support come with the enterprise platform. Designed for FedRAMP-High deployment.