Risk assessment and treatment
- Risk tiering for models and agents
- Bias, robustness and privacy tests
A 30-minute walkthrough, tailored to your stack
What we walk throughDiscovery, live enforcement and audit-ready evidence.
Mapped to the standards your board reads
Tahara AI finds what laws apply, tests what could go wrong, and stops what shouldn't leak. All from one platform, checked continuously.
Discovery, enforcement and evidence on one timeline.
Every model, agent, MCP server and key running in your estate, with an owner and a risk tier.
Allow customer records only when checks pass and egress is internal.
Allow, redact, escalate or block at the execution layer, not after the fact.
Continuous documentation mapped to the EU AI Act, ISO/IEC 42001, NIST AI RMF and SOC 2.
Policy, approvals, risk register, evidence pack.
Inline checks on prompts, responses and tool calls.
Identity, scope and spend limits per agent.
Approved catalogue: versions, prompts, connectors.
Classification and lineage for what gets retrieved.
Teams ship an agent in an afternoon. Tahara notices, then brings it into scope.
One stream serves the block decision and the evidence record.
Change the model, keep the guardrail and the history that proves it.
Every control ships with its mapping.
Field guides from Tahara research
Thirty minutes on your own estate: what we would find, and what we would block.