The DLP built for ChatGPT.
Every legacy security tool is blind to what your team types into AI tools. ViwGuard closes that gap in 5 minutes — no proxies, no hardware, no six-month project.
Every tool your team is already evaluating was architected before generative AI launched. ViwGuard wasn't.
This is what your dashboard looks like on day one — before you've finished configuring policies.
No proxies, no hardware, no professional services. Just an extension and a dashboard.
The tools your team is already evaluating were architected before generative AI existed. The gap shows.
| Capability | ViwGuard | Nightfall AI | Microsoft Purview | Zscaler DLP | Forcepoint |
|---|---|---|---|---|---|
| Real-time AI prompt interception | ✓ Native, browser-first | ⚠ Partial retrofit | ✗ Edge only | ⚠ Proxy required | ✗ |
| Setup time | 5 minutes via MDM | 2–6 weeks | 3–12 months | 3–6 months | 3–6 months |
| Image & screenshot PII scanning | ✓ Vision AI | ✗ | ✗ | ✗ | ✗ |
| Natural language policies | ✓ Plain English | ⚠ Beta only | ✗ Regex only | ✗ Regex only | ✗ Regex only |
| Global PII — SSN, Aadhaar, PAN, NHS, IBAN | ✓ 30+ countries | ⚠ US-focused | ⚠ Partial | ⚠ Partial | ⚠ Partial |
| AI security copilot | ✓ Amra — autonomous | ⚠ Alerts only | ✗ | ✗ | ✗ |
| MCP / AI agent monitoring | ✓ | ⚠ New / limited | ✗ | ✗ | ✗ |
| Compliance reports (HIPAA, GDPR, DPDP) | ✓ One-click | ⚠ Basic | ⚠ M365 only | ✗ | ⚠ Manual |
| Starting price | $18 / user / month | $5,000+ / month | $57 / user / month | $25,000+ / year | Enterprise only |
Security leaders who deployed ViwGuard during our private beta. Real violations, real data.
Our nurses were pasting patient discharge notes directly into ChatGPT to speed up documentation — PHI, MRN numbers, dates of birth, all of it. Our existing DLP had zero visibility because it was watching email, not browser prompts. ViwGuard caught 47 violations in the first six hours. We hadn't even finished setting enforcement policies yet.
An engineer pasted our entire AWS production config — including secret keys — into Cursor to debug a deployment issue. ViwGuard intercepted it before it left the device. That one incident alone justified the contract. The 5-minute MDM deploy is real. We were blocking violations before lunch on day one.
We had a junior dev upload a screenshot of our production database schema to GPT-4o asking it to write migration scripts. The screenshot had table names, column names, and sample data. Every DLP we evaluated missed it because it was an image, not text. ViwGuard's Vision AI caught it. That feature alone is worth it.
ViwGuard generates audit-ready reports for every major framework — automatically, from real usage data.
Legacy DLP tools start at $5,000–$57/user/month. ViwGuard starts at $18/user/month — and covers AI tools they can't even see.
All plans billed annually. Monthly billing available at +20%. Volume discounts from 100+ seats. Contact us for multi-year pricing.
Last updated: August 2026 · ViwGuard · hello@viwguard.io
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