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Financial Services & Insurance

Navigate FSI risk with
quantifiable AI integrity & compliance.

Financial services and insurance companies are rapidly adopting AI to innovate and enhance efficiency, but face intense regulatory scrutiny, complex model risks, and critical data security challenges. Conformance AI’s LLMOps platform delivers the specialized technical assurance and quantifiable insights FSI leaders need for confident AI deployment, robust compliance, and verifiable model integrity.

 

For insurers, we also offer specialized AI risk quantification to support innovative underwriting.

NAVIGATE INTENSE REGULATORY SCRUTINY

FSI firms face complex AI regulations (e.g. EU AI Act, DORA) with severe non-compliance penalties. Conformance AI helps translates these into auditable technical controls and robust governance.

ACHIEVE QUANTIFIABLE RISK & VERIFIABLE OVERSIGHT

Effective FSI oversight requires quantifiable AI risk metrics, not just qualitative insights. We provide the measurable data and actionable reports essential for verifiable oversight.

ENSURE MODEL INTEGRITY, FAIRNESS, & PERFORMANCE

Critical FSI models (e.g. underwriting) demand integrity and fairness, facing threats like model drift. Our proactive QA, bias detection, and continuous drift monitoring ensure AI performs reliably.

SAFEGUARD SENSITIVE DATA & FINANCIAL IP

FSI AI systems handle vast sensitive data and IP, risking critical breaches. Conformance AI’s specialized assessments pinpoint vulnerabilities for implementing robust technical asset protection.

MITIGATE AI-DRIVEN LIABILITIES & REPUTATIONAL DAMAGE

AI system errors, misleading outputs, or biased financial decisions create significant liability and brand risks. We validate AI behavior and outputs, protecting your institution and mitigating these exposures.

MANAGE THIRD-PARTY VENDOR RISK

Integrating third-party AI solutions expands your risk surface. Our technical assessments vet these vendor systems, ensuring alignment with your security and compliance standards.

OUR SOLUTION

Conformance AI LLMOps

Conformance AI delivers a robust, platform-driven LLMOps approach, specifically architected to address the stringent demands of the financial services and insurance sectors. Our methodology integrates deep technical assessment with strategic implementation and continuous oversight, ensuring your AI is secure, compliant, and consistently reliable.

STEP 1:

Assess & Quantify

  • Granular Risk Quantification
     

  • Bespoke Dataset Development for Accelerated Validation
     

  • Red Teaming & QA Protocols
     

  • Algorithmic Bias Audits

STEP 2:

Implement & Govern

  • Translation of FSI Regulations into Auditable Controls
     

  • Implementation Support for Robust Data Protection & Security
     

  • Technical Integration with FSI Governance, Risk & Compliance (GRC) Frameworks

STEP 3:

Monitor & Adapt

  • Proactive Model Drift Detection
     

  • Continuous Validation Against Evolving FSI Regulatory Landscapes
     

  • Model update assurance
     

  • Ongoing Threat Intelligence & Vulnerability Monitoring

Empowering Insurers:

Advanced AI Risk Quantification for Innovative Underwriting

The insurance industry faces a unique challenge and opportunity: underwriting the novel risks associated with AI systems developed and used by other organizations. Conformance AI provides specialized technical capabilities to help insurers navigate this new frontier with confidence.

Objective Third-Party AI Risk Assessment

Our platform delivers in-depth technical evaluations of third-party AI systems, providing insurers with a clear, quantified understanding of the specific risks (e.g., performance, security, bias, operational) posed by the AI they aim to insure.

Data-Driven Insights for Actuarial Analysis & Policy Design

We provide granular, evidence-based data and risk scoring that can directly inform your actuarial models, assist in designing appropriate AI liability or performance guarantee coverage, and refine risk pricing.

Ready to transform your approach to AI risk and compliance?

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