AI Safety Audit
Prove your AI is safe
for the real world
Your industry's regulations and standards, your internal policies, your customers' expectations: Mankinds produces the proof that your AI agents meet them, continuously.
AI agents act fast
Show you're in control
This new kind of worker evolves, reads data, takes action and shapes decisions that can grow your business. But it comes with risks you are constantly challenged on:
Customer· just now
Customer commitmentDoes it honor our contract?
Legal· 2 min ago
Sensitive dataWho sees which data?
CIO· 15 min ago
New modelAnd with the new model?
Risk committee· 1 h ago
UnpredictableAre its limits proven?
Give them proof they can rely on.
AI Safety Audit, continuously
An AI Safety Audit tests an AI agent against the requirements that apply to it, on the real system, and produces evidence a third party can review.
Control real behavior
Your agent is evaluated as it actually runs, before and after go-live. A deterministic, contextual evaluation: the same test, replayed, gives the same result.
Improve continuously
Every gap comes with a prioritized fix, and every release reruns the tests.
Mankinds fits into your tools and your processes
Every kind of AI system your engineers deploy
Whatever your use case, we test how the system actually behaves.
Conversational agents
Assistants and chatbots that talk to your customers or your teams.
Voice agents
Phone and voice assistants that speak with your customers.
Knowledge assistants
Assistants that answer from your documents and internal knowledge (RAG).
Classification systems
Models that sort, score or flag requests, documents or transactions.
Document processing
Systems that read, extract and summarize contracts, claims or identity documents.
Content generation
Models that draft emails, reports, product sheets or marketing copy.
Multi-agent systems with long-running tasks
Agents that chain steps, call tools and act in your systems.
AI workflows
Automations that chain AI steps across your tools, built for example with n8n.
Coding agents
Agents that write and change your code.
AI factory
The internal platform that builds and ships your AI use cases.
Reassure your stakeholders
Reach your goals faster.
Your risk committee signs off on evidence.
You answer their AI audit with a report ready to share.
You switch models and the same tests show you what changed.
Your customer, your auditor or Legal reads the proof on their own.
We cover all your rules
100+ built-in frameworks, plus your internal policies.
Regulations
Binding
- AI Act
- GDPR
- DORA
- NIS2
- Cyber Resilience Act
- Data Act
- MiCA
- MiFID II
- PSD2
- Solvency II
- MDR
- AML Regulation
- Product Liability Directive
- UK GDPR
- HIPAA
- Colorado AI Act
Regulator guidance
Expected by supervisors
- EBA guidelines
- ECB guide on AI
- CNIL guidance
- ANSSI generative AI security
- ACPR AI governance
- FCA and PRA
- MHRA
- FDA AI-enabled devices
- SEC
- FTC Section 5
- SR 11-7
Standards and certifications
Expected by the market
- ISO 42001
- ISO 27001
- ISO 27701
- SOC 2 Type II
- AIUC-1
- ISO 23894
- ISO 42005
- ISO 27017
- ISO 27018
- ISO 5338
- IEEE 7000
- HDS
Frameworks and best practices
Voluntary
- NIST AI RMF
- OWASP Top 10 for LLMs
- OWASP Top 10 for agentic applications
- MITRE ATLAS
- NIST generative AI profile
- OWASP ML Top 10
- NIST CSF 2.0
- UK AI framework
- AISI
Internal policies
Binding within your organization
- AI charter
- Security policy
- Data policy
- Business rules
- Refund policy
- Brand guidelines
- Escalation procedures
Customer requirements
Binding by contract
- Contract clauses
- Project requirements
- AI vendor questionnaires
- Service levels
- Security annexes
- Data processing agreements
We bring the proof. You build the trust.
Become a trusted agentic enterprise
Trust is your best business asset. It is built on tangible proof.
We help agentic AI pioneers deploy their agents with confidence and turn them into performance.
- Hosted in Europe or deployed On-premise
- No training on your data