Run any AI agent on your most sensitive systems. It never sees the real data.
You tell your AI agent to book a flight. It opens your browser, navigates the site, fills in your details, and completes the purchase. No APIs. No custom code. Just the browser.
Then the agent clicks a link in a routine email. Hidden in that URL, invisible to your firewall, your proxy, and your DLP system, are instructions. The AI agent follows them. It reads your customer emails. Extracts names, Social Security numbers, account numbers. Encodes everything to bypass your exfiltration filters. Sends it to a server you have never heard of.
You still see nothing. This already happened. In 2025, researchers demonstrated exactly this attack against commercial AI browsers. A single URL caused the agent to read Gmail and POST everything to an attacker-controlled server.
RedactSure takes a different approach: remove the capability to cause harm. Real data is replaced before the AI ever sees the screen. The substitution happens at the rendering layer, in hardware. The model has nothing to override because there's nothing sensitive in its input.
The browser intercepts all screen content. PII is replaced with realistic equivalents before any AI agent sees a single pixel.
Real values live inside hardware-encrypted enclaves (AMD SEV-SNP). You hold the keys. Same model used by Signal and 1Password.
When the agent fills a form, placeholders become real values at the hardware boundary. From the agent's perspective, nothing changed.
Works with any model: Claude, GPT, Gemini, open-source, or something that doesn't exist yet.
Healthcare claims, tax filing, HR records, financial compliance. These are the highest-value automation targets, and the ones most blocked by privacy requirements. Placeholder-only access means nothing to report under HIPAA, GDPR, or PCI-DSS.
Most companies either give the agent real access and accept the risk, or sandbox it into uselessness. RedactSure lets the agent do real work on real systems while seeing none of the real data.
Traditional AI agent deployments cost $500K–$1M per workflow and take 3–12 months. Browser agents use the same interface employees already use. Months of custom integration become days of configuration.
Browser agents fail 1–10% of the time. Human supervision is the obvious fix. But every human watching an agent work is exposed to the same real data. RedactSure solves this: the supervisor sees the same placeholders the agent does. You scale oversight without scaling data exposure.
See how RedactSure can give your team 4x throughput on browser-based work.