The Complete AI Governance Platform
One platform to govern, secure, and deliver enterprise AI — from control plane to end user.
- 300 AI models out of the box
- MCP-native from day one
- 80+ preconfigured MCP servers
- Agent skills management
- On-prem, private cloud, or Brutor SaaS
Most AI gateways govern requests. Brutor governs the AI system — models, tools, skills, agents, and knowledge — as one policy surface, with a group hierarchy that maps to how you actually organize.
Adoption is racing ahead. Governance isn’t keeping up.
of organizations have deployed AI agents in the past year.
Deloitte · State of AI in the Enterprise 2026has a mature governance model for those agents.
Deloitte 2026added to average breach cost when shadow AI is involved.
IBM · Cost of a Data Breach Report 2025A complete AI governance system — built around how teams actually work.
Govern every AI request.
Route, secure, and audit all AI traffic — LLMs, MCP servers, autonomous agents — through one high-performance Rust control plane.
Explore the Gateway →Shadow AI ends here.
Make the governed path the easiest path. The Portal is a workspace people prefer to ChatGPT.com — better connected to enterprise data, with the agent skills your teams actually built. Shadow AI quietly stops being a problem.
Explore the Portal →Build governed agents fast.
OpenAI-compatible endpoint, native MCP, native A2A v1.0, agent-skills SDK — drop-in primitives for the agents your teams ship.
Developer Corner →Everything you need — from the first setup to every day in production.
Brutor carries you through each phase, with everything you need already in the box.
Start governed from day one.
You define your organization’s structure, pick your models, set guardrails, and load your knowledge. Brutor gives you everything you need already in the box.
- 300 models preconfigured across every major provider — OpenAI, Anthropic, Google, Azure, Mistral, and self-hosted via Ollama / vLLM / KServe.
- 80+ curated MCP servers, one-click enable. GitHub, HubSpot, Snowflake, Atlassian, Tableau, Postgres, Grafana, and more.
- Resource Groups mirror your real org — teams, departments, cost centers, projects — from day one.
- Guardrails enabled by default: PII detection and masking, prompt-injection blocking, jailbreak filtering, toxic-content filtering.
- Knowledge Base RAG built in: upload PDFs, Word docs, markdown. Per-group isolation. Source citation on every answer.
Tune, monitor, and iterate — in the tools you already use.
Teams use AI. You watch costs, adjust behavior per department, iterate on policies. Brutor plugs into the observability stack you already run.
- Mission Control dashboards — usage, cost, latency, cache hit rates, model health.
- Per-group cost attribution for FinOps: which team, which agent, which project spent what.
- Fine-tune per group — Engineering and Marketing each get the models, temperature, and hallucination settings that fit their work.
- Two-layer cache saves tokens automatically: Redis for exact-match lookups, Qdrant for semantic similarity.
- Open observability — native OpenTelemetry hooks plug into Prometheus, Grafana, Loki, or any OTel backend you already run.
Run agents and high-volume traffic without drama.
Brutor handles the operational realities — rate limits, failures, approvals, compliance — so agents stay under control at production volume.
- Agent Skills with human-in-the-loop approval (optional or enforced) — see the Built for agents section below.
- Policy-as-code: export a resource group’s full config, edit, re-apply as a versioned policy with every deploy.
- <5ms governance overhead. Rust core on Axum + Tokio. Every request logged, cached, routed, and checked in under 5 ms.
- Production-stable: circuit breakers per MCP server, graceful rate-limit handling, horizontal scaling, failover, retry with exponential backoff.
- Compliance infrastructure for EU AI Act, HIPAA, SOC 2, GDPR — detailed in the Compliance section.
Shaped to your organization, not a generic template.
Most AI governance tools hand you a one-size-fits-all structure. Brutor does the opposite: you define your organization once — teams, departments, cost centers, projects — and governance flows automatically through every level.
Define once.
Your real org chart becomes the governance model. Model it the way you actually operate.
Two layers of inheritance — not one.
Most tools blur governance and tooling into a single setting. Brutor separates them on purpose:
No forced rewrites.
Reorganize your teams? Policies follow. Move a department under a new parent? Budgets, guardrails, and audit boundaries recalculate automatically. No re-templating. No re-binding.
AI spend that doesn’t surprise FinOps.
Token costs scale fast. Brutor gives you the levers to keep them in check — without slowing the teams who need AI to work.
Per-group token budgets
Hard caps and soft alerts at the resource group level. Marketing’s monthly limit, Engineering’s monthly limit — all in one place.
Smart model routing
Route each task to the cheapest model that meets policy. Heavy reasoning gets the expensive models; routine summarization doesn’t.
Two-layer cache
Response cache for exact-match prompts, semantic cache for near-identical ones. Both return cached responses — no token spend, no provider call. Cuts costs without cutting usage.
Rate limits & quotas
Per-user, per-group, per-tool. Prevent runaway agents from running up bills, stop scripted misuse, keep the budget in your control.
Batch processing
Push large workloads through Brutor’s batch lane and pay the discounted async rate where the provider supports it — ideal for evaluations, document pipelines, and bulk classification.
Lineage on every dollar
Tie every cost back to the prompt, the agent, the tool call, and the user behind it — for finance forecasting and audit.
Built for agents — from day one.
Brutor treats every agent action — prompts, tool calls, inter-agent messages — as a governed event.
Agent Skills
Encode your business logic as Skills — scoped to a resource group, version-controlled, implemented as MCP tools, every invocation audited.
Human-in-the-loop
Three states per tool — enabled, approval-required, disabled. Pending queue for reviewers, runtime enforcement at the Gateway.
Agent-to-Agent (A2A)
Native A2A v1.0 — signed agent cards, HMAC delegation, inbound and outbound traffic governed through the same Gateway.
Built to support your compliance journey.
“Every prompt → every model → every tool → every answer. One connected lineage.”
- Full decision lineage. From the user’s prompt, to the model that answered, to every tool the agent invoked, to the final response — one connected trace for every interaction. Filterable by user, group, model, server, and date range.
- Proxy logs with full request/response bodies, filterable by user, group, model, server, and date range.
- Drill-down from high-level summaries to individual interaction detail.
- Built to support EU AI Act compliance — Article 9 risk management through enforced policies and Article 12 traceability with log retention.
- Ready for HIPAA, SOC 2, and GDPR — the data governance, access controls, and audit infrastructure your compliance team needs.
Policy-as-code.
Export any resource group’s complete configuration as versioned, reviewable policy-as-code. Edit, review, re-apply on any deploy. Governance that ships with your code — not a policy document that drifts.
One governed layer between your users and every AI service.
Every prompt, every model call, every tool invocation, every agent message flows through the same layer — observable, controllable, attributable. Brutor Gateway as the control plane; LLMs, MCP servers, A2A peers, agent skills, and the knowledge base as the resources it governs.
Explore architecture
The full enterprise pipeline. No detectable latency cost.
Rust proxy with guardrails, RBAC, audit, semantic cache, and KB retrieval — all of it on. P50 and P99 latency match the bare endpoint.
Read the benchmark →
AI is everywhere in your organization — your control over it will be too.
Spin up a trial in minutes, or book a 30-minute demo with our team.