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ICVS: Forensic AI Auditing. Training Data to Deployed Output

Every token. Every pixel. Every byte. No sampling. No exceptions.

ICVS is a three-pillar AI compliance framework that protects the entire AI lifecycle. DCAP audits training data for biases, poisoning, and steganographic contamination at 100% coverage. AIDE defends live AI systems against adversarial attacks in real time. VERA verifies output accuracy and epistemic integrity.

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Integrity in AI Auditing

At ICVS, we deliver forensic verification of AI systems and datasets, uncovering institutional biases to ensure compliant, trustworthy outputs.

Our Services

Providing clear AI audits and compliance insights you can trust.

AI Audits

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Designed to illuminate opaque AI models by verifying inputs for biases, outputs for veracity, and internal processes for integrity—directly resolving the black box challenge.

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Data Audits

Engineered to fortify AI datasets by detecting biases, poisonings, and contaminations through census-level verification—directly addressing the integrity threats in training data.

Architected to ensure AI compliance by aligning audits with EU AI Act standards and U.S. state regulations like Colorado's AI Act, California's privacy laws, and Texas TRAIGA—directly addressing global and regional requirements for transparency, risk management, and ethical oversight.