Let your team use ChatGPT, Gemini, Claude. Block sensitive data before it leaves the browser.
Works with every AI tool your team uses
Available on
Trusted by security & engineering teams
prompts inspected daily across customer deployments
categories of sensitive data detected out of the box
inline latency — no proxy, no slowdown for users
The gap
Browser extensions, copy-paste, side accounts — sensitive data leaves your organization through channels your existing DLP wasn't built to see. Most teams find out from an auditor, not a tool.
How it works
Sits between your team and any AI tool they use. Inspects every prompt in real time. Acts on policy before data ever leaves the browser.
47 categories out of the box — PII, financial, credentials, internal strategy. Catches data in any AI tool: ChatGPT, Gemini, Claude, Copilot, Perplexity, DeepSeek.
Draft an email to John Smith at [email protected] apologizing for the failed payment on card ending 4532 and offer a 10% discount.
3 entities detected · Name · Email · Card
Allow, Warn, Mask, or Block — set per PII type, per team, per AI tool. No all-or-nothing tradeoffs.
Full event log with user, prompt, AI tool, action taken, and policy reason. Export for compliance, share with auditors, integrate with SIEM.
Coverage
Start with sensible defaults. Tune what matters to your industry.
10 categories
Names, emails, phone, addresses, location, government IDs, customer support tickets.
12 categories
Salaries, performance reviews, hiring pipelines, internal employee directory, medical leave, terminations.
8 categories
Credit cards, bank accounts, revenue forecasts, M&A discussions, board materials, cap tables.
17 categories
Source code, product roadmaps, unreleased pricing, vendor contracts, legal positions, security incidents.
Custom categories supported. Pattern-match, regex, or LLM-classified.
Industries
Industry-tuned defaults for the categories that matter most to your auditors, your regulators, and your customers.
average cost of a financial data breach in 2024
Card numbers, M&A discussions, and trade-sensitive analysis routinely pasted into AI for summarization or research.
Financial services
average healthcare breach cost — the highest of any industry
Patient names, conditions, and clinical notes typed into ChatGPT for drafting referrals or summaries.
Healthcare & life sciences
of developers now use AI coding tools at work
Source code, API keys, and customer PII routinely sent to AI for debugging or refactoring.
Technology & SaaS
of global annual revenue — maximum GDPR fine for a single violation
Client names, case details, and privileged communications sent for drafting or analysis.
Legal & professional services
Built for the way teams actually work
Nura runs invisibly in the browser. No proxy to configure. No new tool to learn. Just real-time inspection of every prompt — with policy decisions in under 50ms.
User input
Help me debug this auth flow — here's the config: API_KEY=sk_prod_8f2...
Inspected in 42ms
Built for platforms
Multi-tenant from day one. Brand it, sell it, support it — or just protect your own team.
For security teams
SSO, SCIM, granular policies, full audit log, SIEM forwarding. Built for the way enterprise security actually works.
For MSPs and resellers
White-label the dashboard. Manage every customer from one console. Bring your own pricing — we stay invisible.
For service partners
Co-marketing support and dedicated partner manager. Ideal for consultancies and security firms expanding into AI risk.
Real scenarios
Three patterns we see across every customer in the first week of deployment.
The prompt
An agent pastes a full ticket — name, email, phone, account number — into ChatGPT asking for a polite reply template.
What Nura does
Nura masks the customer details. The agent gets the template. The customer's data stays in your CRM.
The prompt
A developer copies a config file into Claude asking why authentication is failing — production database URL and API key included.
What Nura does
Nura blocks the prompt before it sends. The developer rewrites the question with placeholders. The keys never leave the browser.
The prompt
A finance team member uploads the Q3 board materials to Gemini asking for an exec summary — revenue forecast and M&A pipeline included.
What Nura does
Nura warns the user with the policy reason. They acknowledge and switch to the internal AI environment.
Everything you need to know about Nura's security platform.
Nura employs a hybrid approach using advanced regex pattern matching for deterministic detection and lightweight local machine learning models for contextual PII identification. This ensures high accuracy with minimal latency, all running locally within the browser context.
We prioritize data privacy. By default, Nura operates on a "metadata-first" principle. We store logs of interactions (timestamp, tool used, risk score), but raw prompt content is redacted or discarded based on your organization's specific data retention policies. We never use your data to train our own models.
We maintain full support for the Chromium ecosystem (Google Chrome, Microsoft Edge, Brave, Arc) via our enterprise extension. Support for Firefox and Safari is on our immediate roadmap, ensuring coverage across your entire browser fleet.
Absolutely. The policy engine allows for granular control. You can define custom keyword lists, regex patterns, and data classification rules. Actions can range from silent logging to user warnings ("Are you sure?") to hard blocks, depending on the severity of the violation.
Free 14-day trial. No credit card. Deploys to one Chrome profile in under a minute.