Find the right Shadow AI monitoring solution for your organization. Compare deployment methods, privacy approaches, and governance capabilities across the leading platforms.
The rapid adoption of generative AI tools across enterprises has created a new category of risk: Shadow AI. Employees are using AI services like ChatGPT, Claude, Gemini, Copilot, and dozens more without IT oversight. This creates data leakage risks, compliance gaps, and uncontrolled spending.
AI governance tools help organizations gain visibility into AI usage, enforce data protection policies, and manage which AI services employees can access. But not all tools approach this challenge the same way - deployment methods, privacy models, and governance depth vary significantly.
A side-by-side comparison of the leading approaches to AI governance.
| Criteria | Privengy | Harmonic Security | Push Security | Manual Audits |
|---|---|---|---|---|
| Deployment Method | Browser extension (Chrome/Edge) | Browser extension | Browser extension | Spreadsheets, surveys |
| AI Services Monitored | 80+ GenAI services | GenAI services | SaaS apps broadly | Limited, point-in-time |
| DLP Capabilities | Browser-local pattern matching | Server-side analysis | General DLP | None |
| Prompt Privacy | Zero storage - metadata only | Prompts analyzed server-side | Varies by config | N/A |
| SIEM Export | Splunk, Sentinel, Datadog | Yes | Yes | No |
| SSO / SCIM | SAML SSO + full SCIM | SSO | SSO | No |
| Pricing Model | Public, per-seat tiers | Contact sales | Contact sales | Internal cost (staff time) |
| Best For | Privacy-first AI governance | AI data protection | General browser security | Small teams, no budget |
Does the tool store employee prompts? Where does DLP analysis happen - in the browser or on a server? Understanding the data flow is critical for GDPR compliance and employee trust. A metadata-only approach eliminates an entire category of data liability.
How many AI services does the tool monitor? The GenAI landscape is evolving rapidly with new tools appearing weekly. Look for a continuously updated catalog that covers both major platforms (ChatGPT, Claude, Gemini) and emerging tools (local AI, specialized coding assistants).
Can you go beyond simple block/allow? Look for group policies, approval workflows, plan-based blocking, exception management, and vendor risk assessment. The best tools let you set different policies for different teams and adapt as your AI strategy evolves.
How quickly can you go from decision to deployment? Browser extensions deploy in minutes via MDM or manual install. Network-based approaches require proxy configuration and SSL inspection. The simpler the deployment, the faster you get value.
Does the tool integrate with your existing security stack? SIEM export (Splunk, Sentinel, Datadog), SSO/SCIM provisioning, Slack/Teams notifications, and MDM deployment are essential for enterprise adoption. Check which integrations are included vs. add-on.
Can you see pricing before talking to sales? Transparent, public pricing lets you evaluate fit before committing to a sales process. Per-seat models align cost with value. Watch for hidden fees on enterprise features like SIEM or SSO.
Start with Privengy free. Deploy in minutes, get instant visibility into AI usage, and govern with privacy built in.
