Your Devs Are Using AI. Is Your Proprietary Code Leaking?
Developers paste source code into ChatGPT. Copilot autocompletes from your private repos. Claude processes internal documents through MCP servers. Every prompt is a potential data leak. Our AI Security Audit finds the exposure and fixes it.
What You'll Get
- Complete AI tool usage inventory across your org
- Data exposure risk assessment with remediation plan
- Hardened configurations and acceptable use policies
Shadow AI Is Your Newest Attack Surface
AI adoption is outpacing security controls. Developers and employees are using AI tools daily, often without IT knowledge or approval. Every uncontrolled interaction is a potential data leak your existing security stack can't see.
Code Leakage
Developers paste proprietary source code, API keys, and internal logic into AI prompts. This data may be used for model training or stored on third-party servers.
Data Exposure
Internal documents, customer data, and confidential strategies flow through AI tools without DLP controls. Most organizations have zero visibility into what's being shared.
Compliance Gaps
SOC 2, HIPAA, and GDPR all require data handling controls. Unaudited AI tool usage creates findings that auditors will flag.
The Scale of the Problem
78%
of developers use AI coding assistants at work
Source: GitHub 2024 Survey
60%
of organizations have no AI acceptable use policy
Source: Gartner 2024
$4.88M
average cost of a data breach in 2024
Source: IBM Cost of a Data Breach Report
Audit vs. Breach
The cost of discovering AI data exposure after a breach dwarfs the investment in proactive assessment. An AI Security Audit gives you complete visibility and documented controls before an incident forces the conversation.
Cost of a Code Leak
$100K-$5M+
IP theft, competitive disadvantage, regulatory fines, customer trust erosion, and breach notification costs
AI Security Audit
From $1,495
Complete visibility, hardened configurations, and documented policies in 2 weeks
What's Included
A comprehensive audit of your organization's AI tool usage with actionable deliverables
AI Tool Discovery
Inventory every AI tool, plugin, and integration in use across your organization — including shadow IT.
Data Exposure Assessment
Analyze what data is being sent to AI providers. Identify code, secrets, PII, and confidential information at risk.
Acceptable Use Policy
Custom AI acceptable use policy aligned with your regulatory requirements and business needs.
Configuration Hardening
Implement privacy settings for approved tools: disable training on your data, enforce private mode, restrict data sharing.
MCP & Plugin Review
Security assessment of MCP servers, IDE extensions, and AI integrations that access your codebase and internal systems.
Compliance Analysis
Gap analysis against SOC 2, HIPAA, GDPR, and ISO 27001 requirements for AI data handling.
Executive Report
Board-ready summary with risk scores, findings, remediation roadmap, and investment recommendations.
Fixed-Price Audit. No Surprises.
Both plans include discovery, assessment, policies, hardening, and executive report.
Standard
$1,495
Up to 50 users
- AI tool discovery
- Data exposure assessment
- Acceptable use policy
- Configuration hardening for 3 tools
- Compliance gap summary
- Executive report
Enterprise
$2,495
Up to 200 users
- Everything in Standard
- MCP/plugin security review
- Per-department risk analysis
- Custom training materials
- 90-day follow-up review
How It Works
Discover
We inventory every AI tool, plugin, and integration across your organization — including tools IT doesn't know about.
Assess
Our team analyzes data flows, identifies exposure risks, and maps compliance gaps against your regulatory requirements.
Secure
We deliver hardened configurations, acceptable use policies, and a prioritized remediation roadmap.
AI Governance Is a Board-Level Concern
Policies need updating as AI tools evolve. Our vCISO service provides ongoing AI governance and security oversight.
Explore vCISO ServicesFrequently Asked Questions
Get answers to common questions about our AI Security Audit
What AI tools do you audit?
We audit all major AI coding assistants (GitHub Copilot, Cursor, Claude Code), chat tools (ChatGPT, Claude, Gemini), and integrations (MCP servers, IDE plugins, API connections). We also discover tools your organization may not know are in use.
How long does the audit take?
Standard audits complete in 2 weeks. Enterprise audits with MCP/plugin review typically take 3 weeks. We work around your team's schedule with minimal disruption.
Do you need access to our source code?
No. We audit the tools and configurations, not your code itself. We review what data is being sent to AI providers and how tools are configured, but we don't need read access to your repositories.
What if we've already approved certain AI tools?
Great — the audit validates your approved tools are configured securely and identifies any unapproved shadow AI usage. We also verify that your approved-tool policies match your compliance requirements.
How does this relate to SOC 2 / HIPAA / GDPR compliance?
AI tool usage falls under data handling and third-party risk controls in all major frameworks. Our compliance analysis maps your AI usage against specific control requirements and documents evidence for auditors.
What happens after the audit?
You'll have hardened configurations, documented policies, and a remediation roadmap. For ongoing governance, our vCISO service includes quarterly AI security reviews as AI tools and risks evolve.
Can you help us build an internal AI policy from scratch?
Yes. The acceptable use policy deliverable is a complete, customized document — not a template. It covers approved tools, prohibited uses, data classification for AI, and incident response procedures.
Find Out What Your AI Tools Are Exposing
Get a complete picture of your AI data exposure in 2 weeks. Fixed price, no surprises, actionable results.