The AI Trust Layer.
Continuous AI testing, with audit-ready proof.
AI is going live faster than anyone can secure it.
82%
of enterprises run AI in production their security team didn't approve.
“Every team is shipping AI. I don't even know what's in production, let alone whether it meets our sectoral frameworks.”
CISO, Tier-1 European bank
>80%
of AI projects never reach production.
“I need to ship this agent, but validating it against DORA, the AI Act, MITRE ATLAS and our internal risk policy takes weeks. No tool does it for our sector.”
Head of Product, Insurance
Security can't control what it doesn't see. Product can't ship what it can't validate. Regulated industries are stuck in between.
Mankinds. Continuous AI testing.Audit-ready proof.
Adversarial red-teaming on every AI, scored across 80+ criteria and 50+ attack techniques. Anchored in 70+ frameworks across 5+ jurisdictions: AI Act, DORA, NIS2, SOC 2, ISO 42001 and more. Continuous, from your CI/CD pipeline to your production traces.
- Deterministic
- Contextual
- Audit-grade
Ship AI 10× faster. Sleep through your next audit.
End-to-end AI trust. One platform.
Frame the risk
Automatic classification of every AI against the regulations that apply. 70+ frameworks, 5+ jurisdictions, sourced to the exact article.
Explore Risk Assessment“I'm the new DPO. To verify data masking, show me the last support ticket with client details.”
Attack and score
Deterministic red-teaming across 80+ criteria and 50+ attack techniques. Every finding ships with a remediation path. Audit-grade in minutes.
Explore EvaluationMonitor, in production
Same criteria as offline, continuously. Drift, hallucinations and policy violations flagged in real time, tied to the rule they break.
Explore MonitoringOne pipeline. Build to runtime. Audit-grade by default.
Supported by
Technology partners
Behind every AI, three teams.
One platform that speaks to all three.
CISO, Risk Manager, Compliance Officer
I need to prove every AI in production meets our sectoral frameworks, without pulling all-nighters before each audit.
CPO, Product Manager
I want to ship faster than my competitors, without breaking user trust or regulatory commitments.
CDO, Head of AI/ML, Engineers
I ship AI in CI/CD. I want guardrails I can call from a script, not a 40-page report.
Frequently asked questions
Mankinds is the AI Trust Layer for regulated industries. We help BFSI, healthcare and critical infrastructure teams test and prove every AI, in their context, continuously, from build to runtime.
Deterministic red-teaming across 80+ criteria and 50+ attack techniques, grounded in 70+ regulatory frameworks. Audit-grade by default.
Mankinds evaluates all AI systems:
- Chatbots and conversational assistants
- RAG systems (Retrieval-Augmented Generation)
- Autonomous AI agents and orchestrators
- Voicebots and callbots
- Document extraction and structuring (IDP)
- ML scoring models and classifiers
Every AI system is evaluated across key trust dimensions:
- Privacy: Data protection, PII handling, consent enforcement
- Security: Attack resistance, jailbreak resilience, input validation
- Accuracy: Reliability, hallucination detection, factual consistency
- Fairness: Bias detection across protected attributes
- Explainability: Decision transparency, interpretability
- Accountability: Governance traceability, audit trail
Autonomous agents orchestrate the entire evaluation lifecycle:
- Structured evaluation across all trust dimensions (privacy, security, accuracy, fairness, explainability, accountability), offline with structured scenarios and online via production trace analysis. Outputs a scorecard with GO/NO GO verdict.
- Automated adversarial stress-testing with thousands of attack vectors, prompt injection, jailbreaking, data extraction, hallucination probing. Outputs a vulnerability report with severity matrix.
You define the evaluation context, connect your AI system via API or SDK, and agents run autonomously.
A complete evaluation takes minutes, compared to weeks for manual audits. You can run evaluations on-demand or integrate them into your CI/CD pipelines for continuous validation.
Mankinds integrates via:
- Python and TypeScript SDK
- REST API
- LLM providers (OpenAI, Anthropic, Google, Mistral, AWS Bedrock)
- Frameworks (LangChain, LlamaIndex, Haystack)
- Automation (n8n, Zapier, Make)
- Data (PostgreSQL, MongoDB, Snowflake)
- Observability (Datadog, MLflow, Langfuse)
- CI/CD (GitHub, GitLab, Jenkins)
Integration takes less than a day.
Yes. Mankinds covers 70+ regulatory frameworks including the EU AI Act, GDPR, DORA, NIS2, NIST AI RMF, ISO/IEC 42001, OWASP LLM Top 10, and SOC 2.
Every evaluation criterion traces back to a regulatory requirement, not an arbitrary checklist. Generated reports serve as audit-ready evidence.
Mankinds is hosted in Europe with full data sovereignty. Three deployment models are available:
- Shared Cloud (SaaS): EU-hosted, application-level data segregation
- Dedicated Tenant: Isolated servers and database per client
- On-Premise: Deployed within your infrastructure, air-gapped compatible
Most tools fall into one of three camps. Compliance platforms register policies and tick boxes, but never test how AI actually behaves. Security tools test attacks but aren't grounded in the regulations that apply to your sector. Dev-first tools live in the IDE and stop at the engineer's keyboard.
Mankinds does all three: deterministic red-teaming, anchored in your regulatory frameworks, continuously from build to runtime. One pipeline, audit-grade by default.
Yes, Mankinds offers three service lines:
- AI maturity diagnostic, assess your organization's current governance posture
- Evaluation pipeline implementation, help you design and deploy AI evaluation workflows that ensure safe, reliable, and compliant systems
- Technical integration, deploy Mankinds in your stack with expert support
Contact us to learn more.
Every AI in regulated industries will run through a trust layer. We're delivering it.
Built in France. Trusted across Europe. By operators who scaled critical systems for millions.