Step 01
You paste
Copy code, text, or documents into any AI tool. Sentinel intercepts the paste event before it reaches the input field on every supported platform.
// Enterprise AI Data Protection
Sentinel stops corporate secrets before they reach AI models
Zero data off-device. Zero compliance risk. Zero excuses.
Sentinel intercepts sensitive data the moment it enters any AI tool, before a single byte leaves the machine.
0 network requests during detection / 100% on-device AI / Verifiable in DevTools
0 %
of employees paste sensitive data into ChatGPT
LayerX Security, 2025
$ 0 K+
average cost of an AI-associated data breach
IBM, 2025
0 K+
stolen ChatGPT credentials found on the dark web
Group-IB, 2024
$ 0 B
projected DLP market by 2031
Mordor Intelligence
"Samsung engineers pasted proprietary source code into ChatGPT. It is gone permanently. The same thing happens inside thousands of companies every day."
// The Insight
Redaction does not need the cloud
Specialized on-device models scan and clean a paste in under a second with zero data ever leaving the machine.
Step 02
AI scans on-device
Specialized small language models analyze content across PII categories, OWASP risk patterns, and jailbreak signals. Nothing leaves the machine.
300M paramsunder 500 ms
Step 03
You choose
See what was detected with visual highlighting. Redact and paste, or paste original. Every catch is logged locally and mapped to compliance evidence.
Auditor-ready evidence
// See It In Action
58 seconds. That is how fast a leak happens.
Watch Sentinel catch sensitive data in real time before it reaches the AI.
Product demo video pending
The supplied landing page did not include a final YouTube video ID, so this deploy keeps the section ready without embedding a broken placeholder.
// Why Sentinel
What nobody else has
0 network calls. Ever.
Verifiable zero-network architecture
Open DevTools during a scan and count zero outbound requests. No cloud relay, no hosted classifier, no vendor data retention concern.
SOC 2 / GDPR / ISO 42001
Compliance evidence, built in
Every detection can be logged locally and mapped to practical controls. Security teams get evidence without sending source data to another platform.
23-90x smaller / 97% F1
Tiny model, strong accuracy
Purpose-built detection models keep latency and deployment weight low while targeting accuracy that enterprise workflows can trust.
Under 500 ms / LFM2.5
Fast enough to stay invisible
Warm inference completes inside the paste workflow. Teams get protection without asking employees to change where they work.
// In Practice
Built for teams that cannot afford a leak
Sentinel protects any team that uses AI tools. Legal teams are one immediate high-risk use case.
Legal teams
Vertical demo video pending
The page is ready for the legal-team video as soon as the final video ID is available.
Attorneys and legal ops teams handle privileged communications, client PII, and case strategy daily, often pasting directly into AI tools. Sentinel stops that exposure automatically, with a local audit log that supports discovery and compliance workflows.
// Roadmap
From browser tabs to autonomous agent guardrails
NOW
Redact PII
"An ad-blocker for secrets."
Blurs private data inside web AI tools before it leaves your screen. Live on the Chrome Web Store for ChatGPT, Claude, Gemini, Copilot, and Perplexity.
NEXT
Desktop apps
"Every app on the machine."
Expands protection to IDEs, terminals, and desktop AI clients through a native host binary with Mac and Windows coverage.
FUTURE
The AI Guard
"A blindfold for agents."
Hides sensitive data so autonomous AI agents never see what they should not. Enterprise enforcement for MCP-based and agentic workflows.
// Team
Security, scale, and compliance built in
GP
Gangesh Pathak
Co-Founder and CEO
2x founder. First company acquired. Second reached $3M ARR in 16 months, currently under acquisition. Leads GTM with an 80,000-founder Bay Area network.
LinkedIn GI
Gibran Iqbal
Co-Founder and CTO
Sr. Security Engineer at IBM across FedRAMP and AWS. Built RedactPII from zero to production: on-device SLM inference, native macOS host, and the full extension stack.
LinkedIn NS
Nishant Sonkar
Co-Founder and COO
12 years in enterprise compliance. Architected Cisco's Common Controls Framework, adopted by Adobe and AWS. Owns product vision and the compliance evidence layer.
LinkedIn// Early Access
Your next paste is unprotected.
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