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Solutions / AI Governance
Bring every AI actor under control, then prove it with honest coverage.
Tallin is the runtime control plane for AI use by humans, apps, and agents. Route AI through Tallin and each actor picks up an owner, an approved model scope, a monthly budget, a policy, and a switch that cuts its Tallin-mediated model access. Honest coverage and audit evidence are how you back it up. We don’t replace your GRC stack; we’re the AI-native control layer it’s missing.
The thesis
Policy you can’t enforce is theater.
A policy document that no one can enforce, and no one can prove is being followed, is worse than no policy, because now you’ve told an auditor what to look for and given them a gap to find. Every AI governance program needs four things working together: a control plane that owns each AI actor, a policy, the coverage to know if it’s enforced, and the audit trail to prove it. Most tools record after the fact. Tallin sits in the request path, so the policy is enforced and the proof is honest.
The three questions
Every AI governance conversation comes back to these.
The moment a board, an auditor, or your biggest customer asks who is accountable for the AI in your company, ownership, enforcement, and proof are the questions you have to answer. Autonomous agents make that moment arrive sooner: Gartner projects 150,000+ AI agents per Fortune 500 by 2028, yet only 13% of teams feel adequately governed. These agents spend and act unattended.
Who owns each AI actor?
A team that stood up an agent and a service key, a personal ChatGPT plan on a corporate card, a Copilot seat nobody tracks. The people, the apps, and the autonomous agents are all using AI, and not one of them has an owner, a budget, or a model scope attached.
Tallin attaches an owner, an approved model scope, a monthly budget, and a policy to each AI actor. Route AI through Tallin and the people, apps, and agents behind it become identities you can attribute, govern, and cut off from Tallin-mediated model access, not anonymous traffic you find out about on the bill. Start from a policy template grounded in NIST AI RMF, EU AI Act, and ISO 42001.
Is the policy actually enforced?
A policy that says “sensitive data must not leave the company” while an unmanaged ChatGPT Team plan is paid for on a corporate card. The policy and the practice are in different universes.
Route AI through Tallin and the gateway enforces in the request path. Budget alerts and an automatic cutoff, model-tier limits, and automatic spend-anomaly freezes apply while honest coverage shows what’s observed, inferred, enforced, and not covered. Shadow mode lets you simulate a control and see what it would have caught before you turn it on, so “this agent stays on approved models, under budget” becomes a measurable rule, not a hope. (Content-level rules like PII blocking are on the roadmap, and we say so.)
Can you prove it?
A screenshot of a settings page. A verbal answer in the audit interview. A spreadsheet someone exported in March that may or may not still be accurate.
Tallin produces a coverage-aware board pack and audit trail from the live ledger. Every claim carries its source and confidence: adoption, spend, sanctioned-vs-unsanctioned, per-actor policy state, attributable incidents. The artifact your auditor reads is the same artifact your CISO trusts.
New: compliance packs
Use-case obligations with evidence attached.
Tallin now maps AI Hiring and Consumer Chatbot use cases to jurisdiction-specific obligations, evidence requirements, customer attestations, and open gaps. It gives counsel a review register, not a black-box compliance score.
Policy & Compliance
Obligation register
NYC AEDT AI Hiring | Bias audit | customer attested | NOT COVERED |
Illinois notice AI Hiring | Employment AI inventory | auto-proved | OBSERVED |
Utah disclosure Consumer Chatbot | Gateway route | auto-proved | ENFORCED |
FTC pointer Consumer Chatbot | Counsel sign-off | customer attested | INFERRED |
Frameworks
We don’t replace your GRC stack. We’re the AI-native control layer it’s missing.
Tallin sits downstream of Vanta, Drata, Secureframe, or your in-house GRC, and in the request path, where they can’t reach. It governs model access, spend, and policy for every actor across providers, then produces the AI-specific evidence those platforms can’t: in-path enforcement, honest coverage labels, and a board pack auditors actually accept, no hyperscaler estate required.
- NIST AI RMF
- Govern, Map, Measure, Manage. Tallin maps to all four core functions.
- EU AI Act
- Risk classification, transparency, and post-market monitoring with usage-level evidence.
- ISO/IEC 42001
- AI management system requirements with documented controls and continuous monitoring.
- SOC 2 (Type II)
- Auditors are now asking for AI controls under existing trust criteria. Tallin produces the evidence.
- HIPAA / GLBA / FFIEC
- Demonstrate that protected data isn’t leaving controlled environments via AI tools.
- Customer DDQs
- Bank partners, enterprise customers, and procurement teams now require AI-usage attestations.
What makes Tallin different
We never turn partial evidence into false certainty.
Control is the headline; honest coverage is the proof. Other tools claim coverage they can’t back up. Tallin governs the AI traffic routed through it and separates every claim into observed, inferred, enforced, and not covered, so when your board, auditor, or biggest customer asks “how do you know?”, you have a defensible answer.
- 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.
Put every AI actor under control.
Start with the free policy template and a 14-day Essentials or Growth trial. Route AI through Tallin, give your first actors an owner, budget, and policy, and see what’s observed, inferred, enforced, and not covered, by Friday.