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Platform · Everything Tallin covers
One control plane, not a stack of point tools.
Tallin governs the AI you route through it, from one inline control point. It finds the AI in use, puts an owner and an off switch on each actor, meters the spend, and turns the activity into evidence. Today that work is split across a routing proxy, a GRC bolt-on, a FinOps spreadsheet, and a discovery scanner that don't talk to each other. Tallin does it in one place.
One spine
Everything Tallin does, it does per AI actor.
An AI actor is anything that reaches a model through Tallin, whether that's an employee, a piece of software, or an autonomous agent running on its own. Every capability below hangs off that single identity: each actor carries one owner, one budget with an automatic cutoff, one attached policy, and one continuous record. Sharing that backbone is what makes Tallin a platform.
- See
- Find every actor and what it's reaching, sanctioned or shadow.
- Control
- Give every actor an owner, a policy, and an off switch, enforced in the live request path.
- Meter
- Attribute, cap, and optimize every actor's spend.
- Prove
- Turn every actor's activity into evidence your auditors and board accept.
See
See every AI in use.
Find the AI across your company, sanctioned and shadow, and know exactly what's covered and what isn't.
30+ connectors across identity, network & CASB, cloud billing, and the major AI providers. No rip-and-replace.
Find the unsanctioned AI tools and accounts already in use, from signals you already own.
Everything labeled observed, inferred, enforced, or not covered, so you know what's controlled and what isn't.
See how AI is actually adopted across teams, and benchmark your exposure in minutes.
Control
Control every actor in real time.
Give each actor a named owner, an enforced policy, and an off switch for its Tallin-mediated model access, applied as each request happens.
Every person, app, and agent gets a named owner, an environment, and a business purpose. No anonymous AI.
One inline control point that enforces policy as each request happens, hosted, or inside your own VPC.
An approved model scope, a budget, and a one-click off switch on any actor, tested in shadow mode first.
Attach a policy to every actor and enforce it at the point of use, not in a review weeks later.
Meter
Meter and control the cost.
One ledger for every AI dollar, capped, attributed, and analyzed for savings.
Every AI dollar attributed to the person, app, or agent that spent it, across every provider.
Per-actor budgets that alert before the limit and cut off after it, before the invoice does.
Tallin analyzes your real traffic and shows where you can safely cut cost. A number you can audit, not a guess.
Spot abnormal AI usage and spend across users, agents, and departments, and freeze a runaway.
Prove
Prove it on demand.
Turn all of it into audit-ready evidence for your board, your auditors, and your customers.
Map your AI use to NIST AI RMF, EU AI Act, and ISO 42001 obligations, with the evidence behind each.
A coverage-aware, signable board pack generated from the live ledger.
An AI Agent Review and a customer-diligence portal that answers security questionnaires fast.
An append-only, immutable record of every governance action, ready for your auditors.
Connect everything
Works with the stack you already run.
Tallin draws on the systems you already own: identity (Okta, Entra, Google Workspace), network & CASB, cloud billing, and the major AI providers, so visibility, spend, and control light up without a rip-and-replace.
How you adopt it
Coverage honesty is the install plan, not a limitation.
Visibility from the first connectors. Enforcement when you turn it on. No re-platform, and no rewrite of your agents.
One source of truth
Everything runs off one control point.
Most teams stitch together a routing proxy for traffic, a GRC tool for evidence, a FinOps spreadsheet for spend, and a scanner for shadow AI. Those tools don’t talk to each other, and between them they still can’t answer the question that matters: who used which AI, under what policy, at what cost, and can you prove it?
Tallin answers it from one control point, because every capability shares the same actor, the same ledger, and the same evidence trail. One platform, one source of truth.
Honest by design
We tell you plainly what’s under control.
Tallin governs the AI you route through it, and labels everything by how it knows it: observed, inferred, enforced, or not covered. You never hand an auditor, a board, or a customer more than you can prove.
- OBSERVED
- Observed: directly captured through gateway events, provider usage APIs, provider admin APIs, or authoritative telemetry, attributed to the AI actor behind it, whether a human, an app, or an agent.
- INFERRED
- Inferred: likely usage from billing, expense, SSO, network, CSV, or discovery evidence.
- ENFORCED
- Enforced: actively governed in the request path (an owner, an approved model scope, a budget with an automatic cutoff, a policy, and an off switch for the actor) plus access restriction, SSO, CASB, or provider admin policy.
- NOT COVERED
- Not covered: anything outside the AI Tallin routes: direct provider calls made outside Tallin, and tool / MCP execution side effects. We report these as explicit gaps, never silenced, so the picture stays honest.
See everything Tallin covers, on your own AI.
Point one workload through Tallin and watch it light up: every actor on the record, with an owner, a budget, a policy, and the evidence behind it. Then expand across your stack at your pace.