Govern Every AI System Running In Your Company

Tahara AI discovers every AI system in your environment, checks it against the frameworks that actually apply, and produces the evidence to prove it, continuously rather than once a year.

Why Tahara AI

Outcomes You Can Measure, Not Just Promises You're Told

Problem: you can't govern what you can't see

Find Every AI System, Not Just the Ones You Approved

AI systems get built in-house, bundled into tools you already pay for, or shipped before anyone signed off. A read-only collector runs inside your own boundary, under your own credentials, and finds every one within a day.

Problem: a document is not proof

Map Every System to the Law That Actually Applies

A policy that says the right thing isn’t a system that does it. Every requirement is checked against your live system, and only marked "Conforming" once a named person confirms it on the record. A machine’s observation can raise a finding, never close one.

Problem: a yearly pen test misses everything that changed since

Attack Your Own System Before Someone Else Does

Most red-teaming happens once, months before launch, against a version of the system that no longer exists by the time it ships. Tahara AI runs the OWASP LLM Top 10 against staging on a recurring schedule, so a regression shows up the next cycle, not next year.

Problem: the leak happens before anyone reviews the transcript

Catch What Leaks Before It Reaches the Model

By the time a privacy review catches a leak, it’s already happened. Guardrails inspect every prompt before it reaches the model, masking and blocking, bilingually in English and Roman Urdu, and logging the rare one that gets through.

Built Around One Framework, Not Twelve Separate Ones

EU AI Act33 requirements
ISO/IEC 4200176 requirements
ISO/IEC 2389441 requirements
NIST AI RMF37 requirements
50+ More Frameworksinternational & regional AI frameworks
The Tahara Master Framework

What Actually Makes Tahara AI Different

Applicability Engine

Figures out exactly which laws and standards apply to a specific system, not a generic checklist.

Discovery Collector

Read-only, runs inside your boundary, never holds your credentials, has no inbound path back in.

Claim vs. Reality Triangulation

Compares what a person said, what the policy states, and what the live system shows. The mismatch is the finding.

Continuous Attack Simulation

The OWASP LLM Top 10, run on a recurring schedule against staging, not a once-a-year pen test.

Bilingual PII Guardrails

Prompt inspection and masking in English and Roman Urdu, before anything reaches the model.

Evidence Locker & Audit Ledger

Every piece of proof stored and dated, in a hash-chained record that can’t be edited after the fact.

The idea this product is built on

Compliance is not a photograph. It is a live signal.

01See Every System

Discover every AI system in your environment, including the ones nobody remembered to log.

02Check It Daily

The full cycle re-runs automatically, so a change is caught within a day, not a year.

03Prove It to Anyone

One evidence trail, the same record for your team, an auditor, or a regulator.

04Never Guess

A machine’s observation can flag a problem. Only a person can close one.

Every layer

Assurance Across Every Layer of the Stack

See how it fits together