Shadow AI & sprawl
Teams adopt LLM APIs, embed copilots, and stand up MCP servers without a central record. By the time security finds out, the data is already flowing out the door.
Read moreGovern your LLMs, Agents, and MCP Servers across the enterprise.
AI Warden is the platform responsible organisations use to secure, govern, and control their AI landscape — so developer and product teams can ship faster with guardrails already in place.
Built for security, risk, and platform teams across regulated markets
- Financial institutions
- Insurance organisations
- Healthcare providers
- Regulated SaaS companies
- Public-sector services
The problem
AI is everywhere. Governance is nowhere.
Every team is shipping with AI. Most security teams cannot tell you which models, which agents, or which MCP servers are running today — let alone what data they touch, how much they cost, or whether they would survive a regulator asking for evidence.
Leaked keys, exploding bills
Provider keys land in source repos, terminals, and CI logs. One unbounded loop becomes a six-figure invoice overnight. Procurement is the first to notice.
See the threat modelRegulators are catching up
EU AI Act, NIST AI RMF, ISO 42001, sector regulators. The question stops being "do you use AI?" and becomes "show me your inventory, your controls, and your evidence."
The regulatory landscapeThe platform
One control plane. Four surfaces.
AI Warden gives you a single place to set policy, watch every request, enforce in real time, and produce the evidence to prove it. Each surface is independently useful; together they close the loop.
01 — LLM Gateway
Every model call. Cost-bound, key-safe, content-aware.
Route every prompt and completion through one egress. Hold provider keys server-side. Enforce per-team budgets, prompt-injection scanners, PII redaction, and content policies — before the request ever leaves your network.
- Hard cost ceilings per team, project, model. Alerts at 80%, blocks at 100%.
- Provider keys never leave the gateway. Clients use a short-lived PAT.
- Prompt-injection & secret scanners on the request and the response.
before · client.pykey in source
import openai openai.api_key = "sk-prod-7f2a…" # committed by mistake openai.chat.completions.create(model="gpt-4o", ...)
after · client.pypolicy enforced
import openai openai.base_url = "https://gw.aiwarden.io/v1" openai.api_key = os.environ["AIW_PAT"] # short-lived, scoped openai.chat.completions.create(model="gpt-4o", ...) # gateway: enforces policy, redacts PII, charges your team budget
02 — MCP Fleet
Every MCP server. Inventoried, scanned, supervised.
The MCP servers connecting your AI to email, code, finance, CRM are the new attack surface. AI Warden registers them, scans every request and response in real time, and gives you a kill-switch when something looks wrong.
- Real-time request log with SQLi, secrets, PII, and custom rule scanners.
- Hosted sandboxes that quarantine risky tools without breaking development.
- Quotas, IP allowlists, four-eyes approvals per server, per principal.
AI agentCopilot, Claude, custom
AI Wardenpolicy · scan · log
MCP serveremail, finance, code
09SQL injection
→
403blocked at gateway
→
auditsigned & archived
03 — Governance & Compliance
Policies your auditor can read. Evidence you can export.
Set policies once and apply them to every model, agent, and connector. Map controls to EU AI Act, NIST AI RMF, ISO 42001 and your internal frameworks. Regenerate the evidence pack any time a regulator asks.
- Versioned policies with diffs, blast-radius preview, and four-eyes approval.
- Immutable, signed audit log streaming to ClickHouse — query in seconds.
- One-click evidence packs mapping your controls to the framework of choice.
04 — Agents & Copilots
Identity for the things that aren't people.
Agents and copilots run continuously, on your behalf, often as system principals. Treat them like employees: identity-rooted, scoped, time-bounded, and revoked when they leave. AI Warden gives every agent its own identity — and a policy you can audit.
- Per-agent identity rooted in your IDP — Keycloak, Entra, Okta.
- Per-agent budget & scope: which models, which MCP servers, which data.
- Behavioural baselines alert when an agent strays from its envelope.
Agent
credit-risk-summariser
within envelope
Outcomes
What it looks like, week one to quarter one.
Near 100%
routed LLM traffic visible in week one
Drop-in OpenAI / Anthropic / Azure-OpenAI compatibility. No client rewrites required.
10-30%
month-one spend reduction (common range)
Best estimate from early rollouts. Results vary by workload shape, cache hit rate, and model mix.
0
provider keys on developer machines
Keys live server-side. Clients hold a short-lived, scoped, revocable PAT.
< 1d
to regenerate an evidence pack
Map controls once. Export the framework of choice on demand.
Example outcome from a recent banking engagement: nine teams were using LLMs through six routes with unreconciled spend. Within a month, traffic moved to one gateway, keys were centralised server-side, and regulator evidence no longer required a war room.
Under the hood
Built for the way real enterprises run.
Self-hosted or SaaS. Keycloak / Entra / Okta on the front, Postgres and ClickHouse on the back, an OpenAPI-described control plane in the middle. No black boxes. No agent on every laptop.
Self-hostable
One VM, your network, your keys, your data. Or a managed instance if you'd rather we operate it. Same code path either way.
Identity-rooted
SSO via OIDC into your IDP. Every actor — human, service principal, agent — has a real identity behind every audit row.
Open standards
OpenAI-compatible egress. OpenAPI-described control plane. OTel, signed audit, S3 / SIEM sinks. No proprietary SDK to adopt.
Read-only by default
Drop AI Warden in front of existing systems and start observing. Enforcement is a deliberate, auditable action — never the default.
Composable
Use the LLM Gateway alone. Or just the MCP Fleet. Or the whole platform. Surfaces share data; you don't have to share scope.
Battle-tested patterns
Built by engineers from the regulated-finance, healthcare, and identity worlds. Patterns chosen because they survive a real audit, not because they look good on a slide.
On watch
This is the Warden.
Every request, every key, every agent — under one steady gaze. The platform takes the name seriously: read-only by default, deliberate when it acts, and never asleep at the post.
Take the next step
See AI Warden against your traffic.
A 45-minute working session with our team. Bring one team, one model provider, and one MCP server. Leave with a working gateway, a real policy, and a draft evidence pack.