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AI Model Auditing

Comprehensive evaluation of AI systems for performance, bias, security, and regulatory compliance across jurisdictions.

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Why Audit Your AI Models?

As AI regulation intensifies globally with frameworks like the EU AI Act, China's AI regulations, and emerging US standards, organizations face increasing pressure to ensure their AI systems are compliant, fair, and robust.

Our AI Model Auditing service provides independent, comprehensive evaluation of your AI systems across multiple dimensions: performance, bias, security, and regulatory compliance. We help you identify and mitigate risks before they impact your business or reputation.

By conducting thorough audits, we enable your organization to demonstrate due diligence to regulators, build trust with stakeholders, and ensure your AI systems perform as intended while adhering to ethical standards and legal requirements.

AI Model Auditing

Our Auditing Services

We offer comprehensive evaluation across multiple dimensions to ensure your AI systems are robust, fair, and compliant

1

Performance Evaluation

Rigorous testing of model accuracy, reliability, and robustness across diverse scenarios and edge cases to ensure consistent performance in real-world conditions.

2

Bias & Fairness Assessment

Comprehensive analysis to identify and quantify potential biases across different demographic groups and protected attributes, ensuring equitable outcomes.

3

Security Vulnerability Testing

Identification of potential security weaknesses, including adversarial attacks, prompt injection vulnerabilities, and data poisoning risks.

4

Regulatory Compliance Review

Evaluation against relevant regulatory frameworks across jurisdictions, including documentation requirements, transparency obligations, and risk management procedures.

5

Explainability Analysis

Assessment of model transparency and interpretability, with recommendations for improving understanding of model decisions and outputs.

6

Documentation Review

Evaluation of model cards, datasheets, and other documentation against industry best practices and regulatory requirements to ensure comprehensive record-keeping.

Our Auditing Process

We follow a structured methodology to ensure thorough evaluation of your AI systems

1

Scope Definition

Collaborative definition of audit scope, including systems to be evaluated, specific concerns to address, and applicable regulatory frameworks.

2

Documentation Review

Analysis of existing model documentation, development processes, data sources, and governance frameworks to understand system context.

3

Technical Testing

Rigorous evaluation of model performance, bias, security vulnerabilities, and other technical aspects using established methodologies and tools.

4

Regulatory Analysis

Assessment of compliance with relevant regulations and industry standards across applicable jurisdictions.

5

Findings Compilation

Comprehensive documentation of audit findings, including identified risks, compliance gaps, and performance issues.

6

Remediation Guidance

Detailed recommendations for addressing identified issues, prioritized by risk level and implementation complexity.

Frequently Asked Questions

Answers to common questions about our AI Model Auditing services

What types of AI models can you audit?
We can audit a wide range of AI systems, including machine learning models, deep learning networks, large language models (LLMs), computer vision systems, recommendation engines, decision support systems, and automated decision-making tools. Our methodologies are adaptable to different model architectures and use cases.
How long does an AI audit typically take?
The duration depends on the complexity of the system, the scope of the audit, and the specific requirements. A focused audit of a single model for a specific concern might take 2-3 weeks, while a comprehensive audit of multiple systems across all dimensions could take 2-3 months. We'll provide a detailed timeline during the scope definition phase.
Do you need access to our source code and training data?
The level of access required depends on the audit scope. For the most comprehensive audits, access to source code, training data, and model parameters provides the deepest insights. However, we can also conduct black-box audits with limited access, focusing on model outputs and behavior. We work with your security requirements and can sign NDAs to protect your intellectual property.
Which regulatory frameworks do you cover in your compliance reviews?
We cover major AI regulatory frameworks including the EU AI Act, GDPR (for AI systems processing personal data), China's AI regulations, emerging US frameworks, and sector-specific regulations in finance, healthcare, and other industries. We stay current with evolving global regulations and can tailor our compliance reviews to the specific jurisdictions relevant to your operations.
How do you ensure the confidentiality of our proprietary models and data?
We implement robust security measures to protect your intellectual property, including secure data transfer protocols, restricted access controls, and confidentiality agreements. Our team follows strict data handling procedures, and we can work within your security infrastructure when necessary. We can also conduct audits in your environment without extracting sensitive information.

Ensure Your AI Systems Are Trustworthy and Compliant

Contact us today to discuss how our AI Model Auditing services can help your organization identify and mitigate risks while demonstrating responsible AI practices to stakeholders.

Request an Audit