AI data security
Let your team use AI — without leaking the company.
Stop sensitive data going out, and credential phishing coming in — per site, per data type, at the moment of risk. Don’t ban AI. Make it safe.
Detected in a paste. Submission stopped; input cleared — before it reached the model.
Document classification flagged a confidential file locally, before upload.
TrustGate verifies the site against the brand's allowlist before a password is typed.
Why now
AI opened a new way to lose data — and a new way to be phished.
Employees paste secrets into AI tools to get work done, and attackers clone login pages at the same moment. Both happen in the browser, where traditional DLP can't see.
Figures describe the industry problem, with sources cited. They are not SpectGrid performance metrics. Please confirm/refresh citations before publishing.
The blind spot
Email and file DLP never sees a secret typed into a chat box.
Legacy DLP was built for email and file transfer. It doesn't watch what an employee pastes into ChatGPT, or whether a login page is the real one. SpectGrid works where the action actually happens — the browser.
Not at the perimeter — at the keystroke
Detection runs in the browser, at paste and submit time, before the data leaves the machine.
Not a guess — a decision
Policy is explicit per data type and per site (IGNORE / WARN / BLOCK), not a vague suspicion score.
Not after the fact — in time to stop it
A BLOCK prevents the submission; a WARN holds it until the employee confirms.
What we do
Two products, one platform
SpectGrid protects both directions of the AI moment — data leaving, and credentials being stolen — with central visibility and control over all of it.
Data loss prevention for AI
DataGate
Inspects what employees type, paste, and upload into the AI sites you choose to monitor — and enforces policy per data type and per tool.
Learn more →Brand & credential protection
TrustGate
Verifies a site is authentic before an employee types a password — catching lookalike and impersonation sites at the moment of risk.
Learn more →Govern & see everything
Platform
Two consoles over one multi-tenant backend: client admins manage policy; SpectGrid staff run the service, with analytics and an audit trail.
Learn more →The difference
Enforced in the browser, at the moment of risk — before data leaves the machine.
Network DLP monitors traffic after it crosses a proxy. SpectGrid acts inline, at the point of action: the paste, the submit, the upload. The sensitive value itself is never transmitted — only redacted telemetry.
Paste-time interception
Clipboard content is scanned the instant it’s pasted into a monitored site — the earliest point a leak can happen.
Submit-time hold
On WARN or BLOCK, the submission is intercepted at Enter / send — held or stopped before anything reaches the AI tool.
Local, private detection
Scanning runs on the device; the credential or secret never leaves it. Only a redacted snippet is logged.
How it works
Deploy, define, enforce, see
- 1
Deploy
Roll out the browser extension to Chrome and Edge.
- 2
Define policy
In the console, choose which sites to monitor and set rules per data type.
- 3
Enforce locally
The extension warns or blocks at paste/submit time — on the device.
- 4
See & tune
Review analytics and the audit trail; refine policy as you learn.
Precision, not blunt blocking
Decide what data is allowed on which tool.
The enforcement matrix is a grid of data element × site. Each cell is IGNORE, WARN, or BLOCK — so you can be precise instead of banning tools outright.
| Data element | chatgpt.com | claude.ai | notion.so |
|---|---|---|---|
| API_KEY | BLOCK | BLOCK | WARN |
| CREDIT_CARD | BLOCK | WARN | WARN |
| PII | WARN | WARN | IGNORE |
| SOURCE_CODE | WARN | IGNORE | IGNORE |
Trust by design
The secret never leaves the machine
Detection is local. Only redacted snippets are stored. Each customer's data is isolated at the database level. Compliance certifications are on our roadmap — see Security & Trust.
Ready to make AI safe?
See SpectGrid on your own tools in a 30-minute walkthrough.