INDUSTRY

AI Governance for Technology Companies

Manage developer AI tools like GitHub Copilot, Cursor, and ChatGPT across your engineering organization. Prevent source code leaks, protect intellectual property, and maintain compliance without slowing down innovation.

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The Challenge

Engineering Teams Are Your Biggest AI Blind Spot

Developers are power users of AI. They adopt tools fast, share sensitive code, and operate outside traditional security controls.

Code Leak Risk

Developers paste proprietary code into ChatGPT and Copilot daily. Source code, API keys, database schemas, and architecture details are exposed to AI models with unknown data retention policies.

Uncontrolled AI Sprawl

Engineering teams adopt dozens of AI tools without IT awareness. GitHub Copilot, Cursor, Tabnine, Codeium, ChatGPT, Claude, and more. Each with different data policies and security postures.

Compliance Gaps

SOC 2, ISO 27001, and customer contracts require data handling oversight. Unmonitored AI tool usage creates audit blind spots and puts certifications at risk.

Competitive Intelligence Leaks

Engineers discuss product roadmaps, architecture decisions, and competitive strategy in AI chats. Open-source model usage introduces additional risks when self-hosted models lack enterprise security controls.

The Solution

How Privengy Helps Technology Companies

Get full visibility and control over AI tool usage across your engineering organization. Enable safe AI adoption while protecting your most valuable asset: your source code.

Monitor all developer AI tools in real-time across your organization
DLP policies that detect source code patterns, API keys, and secrets
Risk scoring per AI service based on data policies and certifications
Group policies for engineering teams with granular access controls
Complete audit trail for SOC 2, ISO 27001, and customer compliance

Privengy Dashboard for Technology Companies

Key Capabilities

Built for Engineering Organizations

Code Pattern Detection

DLP rules that detect source code, API keys, database schemas, configuration files, and other sensitive developer artifacts before they reach AI services.

Developer-Friendly Controls

Allow approved AI coding assistants like GitHub Copilot while blocking risky alternatives. Use warn mode instead of blocking to educate developers without disrupting workflow.

Integration with DevSecOps

SIEM export to Splunk, Microsoft Sentinel, and Datadog. Webhook notifications for your incident response pipelines. Full API access for custom automation workflows.

Browser-Level Detection

Lightweight browser extension deploys via MDM in minutes. Detects AI service access at the browser level without network changes, proxy configurations, or VPN dependencies. Works across Chrome and Edge.

Compliance

Meet Your Compliance Obligations

Technology companies face unique compliance requirements around code security and data handling. Privengy provides the audit trail and controls you need.

SOC 2 Type II

Demonstrate continuous monitoring of AI tool usage for SOC 2 auditors. Prove that sensitive data flows to AI services are controlled, logged, and reviewed.

ISO 27001

Address Annex A controls for information security with AI-specific policies. Document your organization's AI risk management approach with exportable audit logs.

GDPR & Data Protection

Prevent personal data from being shared with AI services that may process it outside your jurisdiction. DLP policies catch PII before it leaves the browser. Code-specific patterns detect embedded credentials and user data in source code.