Enterprise LLM Audit Services
Large language models (LLMs) are powerful tools—but they also introduce new risks and responsibilities. Without careful oversight, your AI model could expose sensitive data, produce unreliable outputs, or violate regulatory standards. That’s where LLM.co’s LLM Audit comes in.
Our audit delivers a comprehensive review of your AI model’s security, compliance, performance, and fairness—so you can deploy with confidence. Whether you’re running a private LLM, building an AI SaaS product, or using AI for critical business decisions, our audit ensures your model aligns with industry best practices, LLM security and legal requirements.
We perform LLM audits on your private, public and hybrid LLMs
Why LLM.co?
At LLM.co, we specialize in helping organizations deploy large language models that are not only powerful, but also secure, compliant, and efficient. Our team brings deep expertise in custom and private LLM deployments, with experience across industries and regulatory environments. We take a security-first, compliance-driven approach, ensuring your AI systems meet the highest standards without slowing innovation.
What sets us apart is our vendor-neutral, unbiased analysis and strict commitment to confidentiality. Whether you’re using open-source models, private instances, or third-party APIs, we provide independent, actionable insights tailored to your unique stack. With LLM.co, you can trust that your audit will deliver clear, practical recommendations that protect your business and support your AI goals.
Risk Mitigation
LLMs and machine learning models introduce unique security challenges that require careful review. Our audits help identify potential vulnerabilities before they can be exploited, protecting your sensitive data and sensitive information from exposure.
Performance Optimization
By analyzing model outputs and infrastructure, we provide valuable insights that enhance efficiency, accuracy, and real-time decision making. This is crucial as AI plays a pivotal role in modern business operations.
Regulatory & Ethical Compliance
Our audits help you ensure compliance with regulatory standards, safeguarding your AI against legal and reputational risk while building user trust.
Transparency & Accountability
Provide stakeholders with independent validation of your model’s safety and reliability.
Future-Proofing & Scalability
Our AI audits uncover architectural gaps that could hinder future growth, helping your organization prepare for continuous improvement and responsible AI scaling across various applications.
Cost Efficiency & Resource Optimization
We identify ways to optimize your deployment for cost savings and better use of compute resources while maintaining data security.
Our LLM & AI Audit Process
We implement a detailed, rigorous review of your enterprise's use of both public and private cloud LLMs and AI tools, ensuring you not only remain compliant, but avoid unnecessary data leakage risks for your business and client data
LLM Audit Discovery
We start by mapping out your AI systems, model architecture, and data flows, gaining a full understanding of your LLM’s role in your business and its various applications. This step ensures that our audit is tailored to your environment, whether you're leveraging generative AI for customer support, content creation, or real-time decision making.
LLM Usage Analysis
Through a mix of automated scanning and manual review, we conduct an in-depth analysis of your model, infrastructure, and data practices. This includes simulating adversarial attacks, testing for potential vulnerabilities, and evaluating your security measures against the latest emerging threats. Our review helps fortify defenses while uncovering areas where additional security challenges may exist.
Audit Reporting & Roadmap
We deliver a detailed report with findings, prioritized action items, and recommendations for continuous improvement. The roadmap supports regular audits, ongoing monitoring, and the adoption of best practices to ensure your LLM remains secure, compliant, and aligned with business goals. We also offer a free consultation to help your team plan next steps.
What's Included In your LLM/AI Audit?
No two audits are alike. We take a custom approach in delivering your audit report in a way that gives you the information you need to mitigate risks and stay compliant.
Security & Privacy Review
An LLM.co audit provides an in-depth analysis of your large language models (LLMs) and the machine learning systems that power them. Our team performs a comprehensive review to identify potential vulnerabilities, including risks of data leakage, adversarial attacks, and misuse of sensitive information. We evaluate your security measures to ensure that your AI deployment is resilient against emerging threats and aligned with regulatory standards.
Compliance Check
In our security and privacy review, we assess how your AI systems manage sensitive data, protect data integrity, and safeguard against harmful data exposure. This includes testing for prompt injection, jailbreak attempts, and adversarial testing designed to simulate real-world exploits. We help you fortify defenses and implement best practices to protect your models in today’s complex digital landscape.
Performance & Accuracy Testing
We also provide performance and accuracy testing, including benchmarking of real-time decision making, output relevance, and hallucination rates. This in-depth examination helps reveal how your LLM supports your business goals across various applications of generative AI, while identifying areas for continuous improvement.
Bias & Fairness Analysis
We test model outputs for unintended bias and fairness issues, helping you identify where your AI may produce skewed or discriminatory results. We provide actionable recommendations to mitigate these risks and support ethical AI practices.
Infrastructure & Deployment Assessment
Our infrastructure and deployment assessment analyzes your hosting setup for scalability, resource efficiency, and protection against potential vulnerabilities. We review the model’s training process, deployment configuration, and cloud/on-premise architecture to ensure your solution is robust and cost-effective.
Recommendations & Roadmap
Finally, we deliver a detailed report packed with valuable insights and a clear roadmap for remediation. Our recommendations focus on ongoing monitoring, regular audits, and enhancements that support responsible AI use in your organization.
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FAQs
Frequently asked questions about our LLM audit services
Most audits are completed within 2-6 weeks, depending on the complexity of your model, deployment and overall LLM security.
Yes. We audit both proprietary LLMs and models built on third-party APIs, as well as private LLM deployments.
Absolutely. We sign NDAs with all clients and treat your model, data, and infrastructure details with the highest level of confidentiality.
Yes. Our team can assist with implementing fixes, preparing for external certifications, or providing ongoing monitoring.
Pricing depends on scope and complexity. Contact us for a custom quote based on your specific needs.
Yes. We provide reporting that aligns with SOC 2, HIPAA, GDPR, and other audit frameworks.