AI Compliance
Expose AI compliance risks before regulators or end users do.
Why AI Compliance is Hard to Get Right
Expanding Enterprise Risk Landscape
Expanding Enterprise Risk Landscape
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Sector-Specific Regulations
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Emerging Global Legislation
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Higher Stakes and Penalties
Mounting Regulatory and Strategic Pressure
Mounting Regulatory and Strategic Pressure
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Legal Liability
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Operational and Workflow Risks
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Reputational Damage
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Failing Behind the Curve
The Complexity of Advanced AI Systems
The Complexity of Advanced AI Systems
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Unpredictable Output
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Opaque Decision-Making
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Real-time, Unmonitored Use
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Pace of Innovation Outruns Regulation
How AIDX Helps
Simulated Real-World Testing, At Scale
Test Without Sharing Your Model
Uncover Hidden Compliance Risks
Interactive Risk Reports
Dynamic, Context-Aware Prompts
Continuously Audit-Ready
Key Feature
Seamless Integration
Connects easily with your deployed AI applications, no code rewrites, no disruption to operations.
Regulatory Confidence
Stay ahead of evolving legal and industry standards with automated testing and documentation.
Operational Efficiency
Save time and resources compared to manual audits and reduce the risk of costly non-compliance.
Application Scenario
Industry
Compliance Requirement
Risk Scenario
Potential Impact
Healthcare
AI systems must protect patient data and comply with HIPAA‘s privacy rule.
A generative AI tool includes anther Patient’s protected health information (PHI) in a response to a medical query.
Penalties of up to $50,000 per violation, with annual caps of $1.5 million, alongside reputational damage and loss of patient trust.
Finance
AI systems must follow SEC and FINRA regulations regarding investment recommendations and disclosures.
An AI chatbot suggests specific investment strategies or securities without proper disclosures or qualifications.
Regulatory fines from the SEC, disciplinary action from FINRA, and exposure to class-action lawsuits from misinformed clients.
Insurance
AI must uphold Fairness and avoid discriminatory practices in policy recommendations or risk assessments.
An AI model unintentionally recommends higher premiums or coverage denial based on biased training data or correlations tied or protected attributes.
Civil Rights lawsuit, regulatory scrutiny, financial settlements, and the need for costly remediation and retraining.
Customer Benefits
From internal policies to international AI laws, AIDX helps your products meet regulatory expectations by turning complex compliance documents into actionable evaluations.
Uploading your compliance Standards, We’ll Do the Rest.
Whether you’re aligning with corporate policies, HIPAA, the EU AI Act, or industry-specific guidelines, simply upload your documentation. AIDX intelligently maps your AI system’s behaviour against these standards to identify gaps and recommend fixes.