Risk assessment and treatment
- Risk tiering for models and agents
- Bias, robustness and privacy tests
Guided demo
See Tahara in action
A 30-minute walkthrough, tailored to your stack
What we walk through- Assess
- Govern
- Test
- Monitor
Know what your AI did, and govern it.
Discovery, live enforcement and audit-ready evidence.
Mapped to the standards your board reads
Complete enterprise AI management.
What we do
Cover the whole life of a model.
Governance system
- Policy set aligned to ISO/IEC 42001
- Approvals with evidence attached
Adversarial testing
- Jailbreak sets mapped to OWASP LLM Top 10
- Tool-chain and agent abuse cases
Continuous monitoring
- Drift, refusal and grounding failures
- Policy hits and overrides
Architecture
Assurance runs the full depth of the stack.
Assembling 05 layers
00%
05
Governance and assurance
Policy, approvals, risk register, evidence pack.
04
Runtime guardrails
Inline checks on prompts, responses and tool calls.
03
Agents and orchestration
Identity, scope and spend limits per agent.
02
Models and tools
Approved catalogue: versions, prompts, connectors.
01
Enterprise data
Classification and lineage for what gets retrieved.
Built for the way AI actually reaches production.
01
Adoption outruns change control.
Teams ship an agent in an afternoon. Tahara notices, then brings it into scope.
02
Security and audit read one signal.
One stream serves the block decision and the evidence record.
03
No vendor holds your policy.
Change the model, keep the guardrail and the history that proves it.
Sits next to the stack you already run.
Alignment
Aligned to the frameworks your regulator reads.
Every control ships with its mapping.
Management
ISO/IEC 42001
Security
ISO/IEC 27001
Risk
NIST AI RMF
Regulation
EU AI Act
Application
OWASP LLM
Adversary
MITRE ATLAS
Regulation
AIUC-1
Answers
Questions we get first.
Answer · 01
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