Let your teams use AI — without letting your data leave with it.
Rulebound governs every AI interaction across your workforce — desktop and web assistants, developer tools, APIs and MCP — detecting and stopping sensitive data, secrets and prompt injection in real time, on managed devices, in the browser, or at the gateway.
Illustrative. Values shown are synthetic test data.
Employees and applications reach for assistants, coding tools and AI features dozens of times a day — and the sensitive data goes with them. The policy on paper cannot keep up with the prompt on the screen.
Tools get adopted faster than security can inventory them — across web, desktop, IDEs and browser extensions nobody approved.
Customer PII, secrets and source code are pasted into models the moment they are useful — gone with a single keystroke, with no record of what left.
Untrusted content and risky requests turn a helpful assistant into a data-leak or a policy breach.
DPDP and GDPR expect you to prove lawful, minimized processing. A quarterly survey is not evidence of what your AI actually did.
Rulebound sits inline on every AI interaction — so protection happens while it is happening, not in a report you read next quarter.
One PII detection becomes your privacy program's runtime record of processing — evidence generated from what happened, not a questionnaire.
Pick the surface that fits your environment — or run them together. Non-AI traffic is never touched.
A managed agent for macOS and Windows inspects desktop assistants, AI coding tools and CLIs at the source.
Governs web assistants and AI features inside the browser, pushed and configured centrally.
Point your applications and APIs at the Rulebound gateway with a single base-URL change. No app rewrite.
Block, redact, warn or log before sensitive data crosses the boundary — you pick the mode per rule.
Detection runs locally and, by default, the raw sensitive value is never written to storage. We are not a new place your data goes.
Employees, developers and applications — endpoint, browser and gateway — governed by the same rules.
Usage connects to discovery, agents and compliance — one graph across every layer AI touches your organization.
Request access and we will show you the AI in use across your workforce — and stop the sensitive data leaving with it.
Real-time visibility and enforcement over how your employees and applications use AI — detecting sensitive data, secrets, source code and prompt injection in prompts and responses, and blocking, redacting or warning before anything crosses the boundary.
It depends on the surface. The endpoint agent installs on managed macOS and Windows devices; the browser add-on is pushed and configured centrally; the gateway needs no endpoint install at all — your applications point at it with one base-URL change.
No. Most sensitive data is redacted in place so the interaction continues, and you choose which categories warn, redact or block. Non-AI traffic is never inspected, so everyday tools are untouched.
Detection runs locally, and by default the raw sensitive value is never written to a Rulebound record — you keep the evidence, not the exposure. A forensic mode exists as an explicit opt-in.
Personal data and PII (including India-specific identifiers), secrets and API keys, source code, prompt injection and jailbreak attempts, and toxic or unsafe content.
The same detection produces runtime records for DPDP 2023 and GDPR (records of processing, data minimization), and maps to the OWASP LLM Top 10 and NIST AI RMF.