HEIMDALLCLOUDThe watchtower for agents you can actually put into production.
Heimdall Cloud is the managed home for building, governing, and running autonomous AI agents against your real systems — with the access control, audit trail, and human oversight an enterprise requires before it says yes.
Agentic AI has a trust deficit, not a capability deficit.
Models can already plan, call tools, and act. What stalls every pilot is everything around the model — who approved this, what did it touch, and can we prove it.
What most agent frameworks give you
- A happy-path demo that works once, on a notebook
- All-or-nothing access — every agent can touch everything
- No audit trail beyond application logs, if any
- High-risk actions fire-and-forget, or fully manual
What Heimdall Cloud ships by default
- Role-scoped workflow & tool ACLs, enforced at execution time
- SIEM-grade CEF/LEEF export + durable per-node trace history
- A native approval-gate node that resumes from an external callback
- On-demand specialist agents, generated and run when the roster falls short
No code. No engineering team. Just plain fields you fill in.
Recorded live on Heimdall Cloud: pick a model, build a specialist by hand — name, role, instructions — drop it into a flow, and run it. Under a minute, zero code written.
Four instruments. One deployment.
Visual, git-friendly orchestration
- Linear and hierarchical multi-agent flow graphs, drag-and-drop
- Constructs Studio for defining specialist agents and their tools
- A live-tested registry: Splunk, Kafka, Elasticsearch, NiFi, GitLab, Mattermost, MCP servers, any REST API
- Persistent Sessions and live input sources — a URL, a Kafka topic, a query
Security that's load-bearing, not decorative
- Multi-tenant RBAC with per-role workflow and tool ACLs
- JIT Vault credentials minted right before a call, revoked right after
- Zero-trust air-gapped mode: one flag, local-only models, egress tools hard-blocked
- Per-chunk cryptographic data provenance, click-to-verify against source
Nothing runs where you can't see it
- Live per-node status streamed to the canvas over WebSocket
- Durable Elasticsearch trace history, past the short-lived replay buffer
- Langfuse LLM-call tracing and SIEM-native export to Splunk on every run
- Action-fingerprint loop guard with adaptive backoff and human escalation
Infrastructure that pays for itself
- Just-in-time GPU model provisioning — request a tier or a requirement, get a real container spun up on demand and reaped when idle
- Runtime MCP server mounting: add a storage array, switch, or hypervisor endpoint as a construct tool with zero restart
- FinOps chargeback — real token usage costed per agent, department, and model, exported in FOCUS format
Not toy demos. Patterns built to be forked.
Heimdall Cloud ships with production-pattern flows against real enterprise systems, so your first hour is a working reference, not a blank canvas.
Correlates a live Splunk alert against Elasticsearch history and GitLab commits, calls in a specialist on its own judgment when the incident is outside general coverage, keeps a running shift log, and escalates only HIGH/CRITICAL into a live chat for the on-call lead.
Audits wealth-management activity against compliance rules and produces a defensible, documented finding.
Reads a procurement inbox, drafts a purchase order, and routes it for approval.
Executes and documents a verifiable data-erasure request end to end.
Enriches portfolio positions with external context for an advisor to act on.
A commander agent delegates to network and endpoint specialists and synthesizes their findings into one report.
Detects a real CPU anomaly from live telemetry, confirms current device state, drafts a remediation, and executes it automatically the moment a human approves in chat.
Built for the people who have to say yes.
The CISO
Blocks pilots by default because nobody can answer what it can touch, who approved it, and whether it's provable after the fact. Answered here with execution-time RBAC, JIT credentials that never sit in a config file, and click-to-verify data provenance.
The AI Platform Lead
Tired of every team hand-rolling retries, tracing, and tool integration from scratch. Gets a visual flow builder that's still git-diffable config underneath, and a tool registry that already speaks Splunk, Kafka, and MCP.
The SOC / Compliance Lead
Needs the agent to reduce toil, not add a dashboard to babysit. Gets selective escalation that only interrupts them when it matters, and a human approval gate on anything irreversible.
VP Engineering / CTO
Needs proof this won't become the next abandoned pilot. Gets a deployment model that fits either way — Heimdall Cloud or self-hosted — and a live instance to put through its paces before signing anything.
Log in on Heimdall Cloud, or run it entirely on your own infrastructure.
The same platform deploys entirely inside your own infrastructure when that's the requirement — no data plane leaves your network unless you route it there.
Sound the horn only when it matters. Deploy the rest with confidence.
Book a live walkthrough, or log in to Heimdall Cloud now and put the reference flows through their paces yourself.