Prevent Data Leakage to Shadow AI

Securing data for the world’s most innovative organizations

Problem

Your security blind spot:
Shadow AI use

Your disjointed, legacy DLP stack is completely blind to what's happening in browser tabs:

They:

Majority of employees admit to pasting sensitive corporate data into ChatGPT and other AI apps

Developer teams routinely upload proprietary code to Deepseek and Copilot without oversight

Sales teams paste entire customer databases into Gemini and Perplexity for analysis

Finance departments input financial projections into Grok for summarization

Legal teams upload draft contracts to ChatGPT for review

When employees copy-paste credentials or API keys into AI prompts, they create permanent security breaches

Solution overview

Scalable data privacy for AI app development and use.

Real-time prompt monitoring

Unlike legacy DLP that catches breaches after they've happened, our browser plugin sees what employees are typing into AI apps before it is submitted. We identify secrets and credentials, PHI, PCI, PII, and confidential information in real-time, not after exposure.

Data lineage and file upload protection

Most companies miss this entirely: employees are uploading entire spreadsheets, codebases, and design documents directly to AI apps. Our plugin intercepts these file uploads originating from corporate SaaS apps before transmission, preventing massive IP leakage in these AI apps.

Smart content redaction

When sensitive content is detected in a prompt to ChatGPT, Deepseek, Copilot, Gemini or other AI apps, we automatically redact just the problematic content - not the entire prompt. Employees maintain productivity while security maintains control.

Clipboard surveillance and protection

We track copy/paste actions to AI tools, providing a complete audit of data movement. When sensitive content is copied from your MacOS, Windows devices and pasted into AI apps, you can monitor or block it instantly.

Frictionless Deployment

Deploy across your entire organization via Chrome Enterprise or MDM in minutes. Employees can seamlessly login via Chrome profile or corporate email and plugins are automatically upgraded with enhancements on a periodic basis.

Your intellectual property is leaking into Shadow AI apps

Employees are unwittingly creating perpetual breaches by feeding proprietary code, customer data, and strategic information into AI apps that permanently store and learn from every input. These invisible data transfers bypass traditional security controls and create irreversible exposure that compounds daily.

Nightfall offers a smarter, more scalable solution

Enhanced accuracy

Nightfall’s industry-leading GenAI detection engine pinpoints PII, PCI, PHI, secrets, and credentials with fewer false positive alerts.

Unparalleled visibility

Monitor sharing and permissions settings across SaaS apps to identify risks in real time.

Automated workflows

Security teams can maintain a secure SaaS environment and ensure continuous compliance by responding to security issues the instant they pop up.

SaaS security posture

Nightfall leverages generative AI (GenAI) for a dynamic and responsive management approach to your SaaS security posture.

Monitor download events across SaaS apps and endpoints

Detect download events and uploads to unsanctioned locations in real time.

Set alert thresholds based on the number of downloads that occur in a certain time frame (e.g. “10 downloads in 24 hours”).

Reduce noise by tailoring policies according to:

High-risk users, such as departing employees

High-risk content, such as specific files, folders, or drives

High-risk data types, such as PII, PCI, PHI, secrets, or credentials

Get actionable alerts or respond in the Nightfall console

Configure alerts to Slack, Teams, Jira, email, or your SIEM of choice.

Review rich metadata for relevant users and content in the Nightfall console, including recent activity logs.

Take immediate action by suspending user access to SaaS environments.

Send custom messages to educate employees about policy violations either in-app or via Slack, Teams, or email.

How It Works

Browser-plugin based interception

Unlike network monitoring that introduces friction, our plugin lives where the data exposure happens - in the browser itself. We see exactly what employees type into AI prompts and what files they upload, with zero blind spots regardless of network configuration.

Deploy in minutes via Chrome Management Console or MDM to thousands of users simultaneously. No complex proxy configurations or certificate management required.

Protect before submission, not after breach

Legacy DLPs alert you after data has been exposed. We prevent exposure by analyzing AI prompts before the employee hits "submit" - stopping credentials, PII, PHI, and intellectual property from ever leaving your organization.

When employees attempt to paste your database architecture into Deepseek or upload your codebase to Copilot, we intercept and block before transmission.

AI-powered detectors

Pre-trained LLM and Computer Vision models classify content such as Secrets & Credentials (NHI), Protected Health Information (PHI), Financial Information (PCI), and Personally Identifiable Information (PII). Simple annotation workflows to provide feedback on risk and true, false positives.

Combine content classification with deep contextual awareness, intent achieving 95% precision out-of-the-box without needing months of tuning. Our detectors learn from your environment and are automatically retrained to continuously improve detection accuracy.

Data lineage

Know exactly which corporate documents are being copied into AI apps.

Trace the movement of your intellectual property from document to AI prompt with complete visibility into the source, destination and all user activities in between on the file or sensitive data.

Human Firewall

When sensitive content is detected, employees receive immediate coaching explaining why the content is problematic - elevating security from an invisible blocker into an educational moment.

Security operations gain actionable insight about which users, user groups are attempting to share what types of data with which AI apps, enabling targeted training and tailoring of policies to high risk users.