Armilla x Trustible
End-to-end AI risk management and liability coverage – in one solution
AI is now embedded in everyday decisions across finance, healthcare, telecom, and manufacturing—and the stakes are rising fast. Generative and predictive systems fail in probabilistic ways, so even well-governed models can produce biased or inaccurate outputs without an obvious “bug” to fix. At the same time, regulation is being introduced in a patchwork and unpredictable manner, introducing challenges for becoming and maintaining compliance.
Together, Trustible’s AI governance platform and Armilla’s AI insurance create a feedback loop of risk management. Governance reduces the chance of failures and generates data on AI performance, while insurance provides a financial safety net for residual risks. Importantly, good governance becomes a competitive advantage in getting better insurance, just as safe driving lowers car insurance premiums.
For organizations, the value is end-to-end AI risk management under one coordinated framework. Instead of piecemeal tools or half-measures, they get a one-stop approach: govern and insure your AI systems under one roof.
About
About the Partners
Armilla AI is the first Managing General Agent (MGA) dedicated to insuring artificial intelligence. Backed by Lloyd’s and A-rated insurers, Armilla provides affirmative AI liability coverage for model errors, hallucinations, regulatory violations, and data leakage among other coverages. Combining AI model risk assessments and evaluations, performance warranties, and purpose-built liability insurance, Armilla empowers enterprises to adopt AI with confidence.
Trustible provides commercial and government customers with an actionable AI governance platform that simplifies compliance, streamlines risk assessments, and accelerates responsible adoption. Headquartered in Arlington, VA, Trustible is backed by leading investors and growing rapidly across public and private sectors.
Solution
How it Works
Trustible and Armilla deliver end-to-end AI risk management as a coordinated motion—“left of boom” and “right of boom.”
Trustible reduces the likelihood and impact of incidents through proactive governance and audit-ready evidence; Armilla transfers residual risk with purpose-built AI insurance. Good governance signals from Trustible can even improve insurability.
Inventory & Controls (Trustible)
Continuous Monitoring (Trustible)
Underwriting with Governance Signals (Armilla)
Risk Transfer (Armilla)
Inventory & Controls (Trustible)
- Centralize your AI/ML/GenAI systems, map them to laws and frameworks (EU AI Act, NIST AI RMF), and implement controls for data provenance, testing, human oversight, and incident response—producing continuous, audit-ready evidence.
Continuous Monitoring (Trustible)
- Track drift, bias, and performance; document decisions; and maintain compliance artifacts across the lifecycle.
Underwriting with Governance Signals (Armilla)
- Use governance and reliability signals to calibrate affirmative AI coverage.
Risk Transfer (Armilla)
- Backstop residual risk for qualifying scenarios—e.g., model errors causing financial loss, gen-AI IP/libel, or regulatory penalties.
Speed With Safety
- Ship AI faster with documented controls aligned to phased EU AI Act obligations and industry standards.
Financial Resilience
- Transfer residual risk explicitly covered by Armilla rather than hoping legacy policies apply.
Better Insurability Over Time
- Strong governance → stronger underwriting position.
One Coordinated Program
- A single operating model for prevention, proof, and protection across your portfolio.
Financial Services:
- Bias/accuracy checks and audit prep for underwriting models; coverage if errors still occur.
Healthcare
- Evidence for processes; coverage if a diagnostic model misses a critical finding.
Tech & Telecom
- Guardrails for customer chatbots; coverage for defamatory or harmful outputs.
Manufacturing
- Governance for predictive maintenance; coverage for costly downtime.
FAQs
End-to-end: governance gaps (inventory, testing, documentation), operational risks (drift, bias, inaccuracy), regulatory exposure (EU AI Act and sector rules), and residual financial risks via affirmative AI insurance (model errors, gen-AI IP/libel, compliance penalties).
Cyber focuses on breaches; E&O targets negligent software defects. Many policies are silent or ambiguous on AI-specific failures. Armilla provides explicit, AI-focused coverage tied to how models actually behave.
Yes. Trustible’s governance signals (controls, testing evidence, monitoring) inform Armilla underwriting, enabling better terms as risk posture improves—similar to safe-driver effects in auto insurance.
A joint discovery identifies your AI systems, applicable obligations, and loss scenarios. Trustible sets up inventories, controls, and monitoring; Armilla evaluates governance/reliability signals and structures coverage through an insurance broker. Then we run the program continuously, with periodic reviews and improvements.
Organizations operating AI in regulated or high-impact contexts—banks, insurers, healthcare providers, telecoms, life sciences, industrials—seeking both faster deployment and stronger accountability.