AI Security Audits

Identify Vulnerabilities Before Attackers Do

$1,200 Flat Rate

⚠️ Most Businesses Don't Realize Their AI Is Vulnerable

Public AI tools (ChatGPT, Claude, etc.) are NOT secure for business data. Employee conversations may be stored, used for training, or exposed in data breaches. If you're using AI with customer data, employee information, or proprietary content — you need an audit.

What We Audit

🔍 Current AI Usage

Interview staff, identify all AI tools in use (you'd be surprised), document data flows, and assess risk levels for each use case.

🛡️ Vulnerability Testing

Test for prompt injection attacks, data leakage risks, unauthorized access, and configuration weaknesses in your AI systems.

📋 Compliance Review

Assess against HIPAA, GDPR, CCPA, FERPA, or industry-specific requirements. Identify gaps and provide remediation roadmap.

🔐 Access Controls

Review who has access to AI systems, authentication methods, API key management, and privilege escalation risks.

📊 Data Handling

Analyze what data enters AI systems, where it's stored, who can access it, retention policies, and deletion procedures.

📝 Policy & Training

Review existing AI policies, employee training programs, incident response procedures, and governance frameworks.

Common Compliance Gaps We Find

Employee Data in Public AI

Staff uploading HR documents, performance reviews, or payroll data to ChatGPT for summarization.

Customer PII Exposure

Customer names, emails, phone numbers, or purchase history entered into AI tools without consent or safeguards.

No Access Controls

Shared API keys, no authentication on AI tools, former employees still having access.

Missing Audit Trails

No logging of who used what AI tool, when, and for what purpose. Impossible to investigate incidents.

Vendor Risk Ignored

Third-party tools with AI features (CRM, helpdesk, marketing) not assessed for data handling practices.

What You Get

Who Should Get an Audit?

🏥 Healthcare Providers

HIPAA compliance is non-negotiable. If you're using AI with patient data, you need documented security controls.

⚖️ Legal Firms

Client confidentiality + privilege concerns. AI tools must be configured to prevent data leakage.

🎓 Schools & Universities

FERPA protects student records. AI tutors, grading tools, and admin systems all need review.

💳 Financial Services

GLBA, SOX, PCI-DSS requirements. AI in lending, fraud detection, or customer service needs oversight.

🛍️ E-commerce & Retail

Customer data, payment info, purchase history. AI personalization tools can expose sensitive patterns.

🏢 Any Business Using AI

If employees use ChatGPT, Claude, Copilot, or any AI tool for work — you need to know the risks.

Common Questions

How long does an audit take?

Typically 3-5 business days: 1-2 days for interviews and data collection, 2-3 days for analysis and report writing.

Do you test our actual AI systems or just review policies?

Both. We review policies and configurations, but also perform hands-on testing (with permission) including prompt injection attempts and access control verification.

What if you find critical vulnerabilities?

We'll notify you immediately (within 24 hours of discovery) with mitigation steps. Full report comes later, but critical issues get urgent attention.

Will you fix the problems you find?

The audit includes remediation guidance and templates. Implementation is separate — you can handle it internally or hire us to help. Either way, you get a clear roadmap.

Is this only for companies using enterprise AI?

No. Most risks come from employees using free, public AI tools. We audit what you're actually using — from ChatGPT to custom deployments.