Your organization
Govern your AI
Use CognitiveView to govern the AI your organization develops, deploys, buys and operates.
- Underwriting
- Pricing & Rating
- Claims
- Fraud
- Customer AI
- Generative AI
- AI Agents
- Third-party AI
Insurance
Insurance Solutions
Govern AI. Assess AI risk.Insure AI.
CognitiveView helps insurers govern the AI they use across their business — and provides AI risk intelligence to assess, underwrite and continuously monitor AI risk for their customers.
Discover AI across your organization. Assess risk across the insurance lifecycle. Prove controls with evidence. Enable AI underwriting for your customers.
The changing landscape
AI is changing the insurance landscape.
AI introduces new attack vectors, operational failures, and regulatory exposure that traditional insurance wasn't designed to address.
Explore the insurance AI risk landscapeAI Security Threats
- Prompt injection
- Model poisoning
- Data leakage
- Deepfake fraud
- AI supply chain risk
AI Operational Failures
- Hallucinations
- Model drift
- Unsafe decisions
- Agent failures
- Business interruption
Regulatory Exposure
- EU AI Act
- ISO 42001
- NIST AI RMF
- Sector regulations
- Audit & accountability
Third-Party Liability
- AI vendor outages
- Vendor AI failure
- IP claims
- Privacy violations
- Customer harm
Two complementary opportunities
One platform. Two insurance opportunities.
CognitiveView supports insurers in two complementary ways — govern your own AI and assess AI risk for your customers.
Your customers
Assess & insure AI risk
Use CognitiveView’s AI risk intelligence to assess customer AI and support AI insurance workflows.
- AI Risk Assessment
- AI Readiness Report
- AI Insurability Score
- Coverage Intelligence
- Residual Risk
- Expected Claim Exposure
- Continuous Monitoring
- AI Trust Center
Underwriting intelligence
From AI risk assessment to underwriting intelligence.
A comprehensive evaluation across 6 dimensions to quantify, qualify and continuously monitor AI risk.
AI Risk Profile
Use case, purpose, business impact, and decision autonomy.
Safety & Reliability
Hallucination rate, model drift, robustness, and failure trends.
Governance & Controls
Control effectiveness, human oversight, and change management.
Security & Privacy
Prompt injection risk, data leakage, and access controls.
Compliance Readiness
ISO/IEC 42001, EU AI Act, NIST AI RMF, and sector standards.
Continuous Risk Signals
Risk trends, control failures, new vulnerabilities, and incident monitoring.
Evidence for underwriting
AI readiness report & trust center.
Give underwriters the evidence they need, and keep it current.
See example reportAI Readiness Report
Understand the assessment, control effectiveness and remaining exposure.
Insurability Score
78/100
High
Safety & Reliability
82/100Governance
80/100Security
76/100Compliance
74/100- Residual Risk
- Medium
- Expected Claim Exposure
- $1.2M – $3.8M
- Confidence Level
- High
AI Trust Center
Review supporting records and follow changes in evidence and risk signals.
AI Systems
24
Models
37
Controls
152
Overall
94%
Compliance
74
Recent Evidence
- Completed
Model Validation Report
2 days ago
- In Review
Bias Assessment
5 days ago
- Completed
Security Scan Report
8 days ago
Live Monitoring
- Risk Signals
- Control Status
- Policy Violations
- Evidence Updates
- Incident Alerts
The insurance lifecycle
End-to-end insurance workflow.
From customer AI estate to continuous risk intelligence.
Understand the exposure.
Identify customer AI and build the evidence needed for a risk assessment.
Discover
AI estate
Assess
AI risk
Generate
AI readiness
Inform the insurance decision.
Translate the assessment into context for coverage, underwriting and pricing.
Calculate
insurability score
Support
coverage decisions
Underwrite
and price
Stay ahead of change.
Keep risk intelligence current as AI systems, controls and operating conditions evolve.
Monitor
continuously
Continuous risk signals feed back into the next assessment, supporting ongoing review.
Insurance AI control room.
One operating view for governance, risk and insurance intelligence.
See your AI estate.
Bring systems, assurance status and customer assessments into one operating view.
Understand changing risk.
Review risk distribution, operating functions and recent signals together.
Follow the evidence.
Connect assessment records and ongoing monitoring to insurance intelligence.
Explore the control-room metrics, charts and risk signals
AI Systems
247
High Risk
32
Assured
186
Customer Assessments
1,842
Avg. Insurability Score
78
- Underwriting28
- Pricing & Rating25
- Claims24
- Fraud20
- Customer AI34
- AI Agents8
- Safety76%
- Moderate82%
- Low53%
Recent Risk Signals
- 2h ago
Model drift detected
Pricing model v2
- 5h ago
New vulnerability
Customer AI assistant
- 1d ago
Vendor change
Third-party claims platform
- 2d ago
Control validation passed
Fraud model
Regulatory alignment
Built for the insurance ecosystem.
CognitiveView supports insurers in meeting evolving regulatory expectations.
NAIC
AI Principles & Model Bulletin
EU AI Act
Risk-based regulation
NIST
AI Risk Management Framework
- ISO/IEC 42001
ISO/IEC 42001
AI management system
IAIS
Global insurance supervision
EIOPA
European insurance regulation
APRA
Insurance supervision (Asia-Pacific)
Drag to explore
Confidence in practice
Trusted by forward-thinking insurers.
CognitiveView gives us the visibility and evidence we need to confidently govern our AI — and a practical way to assess AI risk for our customers.
Chief Risk Officer
Global Insurance Company
Proven outcomes
- 60%
faster AI risk assessments
- 40%
reduction in control gaps
- 80%
assessment evidence automation
- 3x
more AI systems under active monitoring
Get started
The AI risk landscape is changing. Insurance can change with it.
Govern your own AI. Assess your customers' AI. Build continuous AI risk intelligence.
- Global regulations and standards
- Insurance-specific frameworks
- Evidence-backed AI governance
- Underwriting-ready risk intelligence
- Continuous monitoring as AI changes