Generative AI

AI-powered Data Loss Prevention (DLP) for AI applications

Automatically detect and prevent sensitive data exposure and data exfiltration in AI applications while enabling secure innovation.

Schedule a Demo

The Data Loss Prevention Challenges with Generative AI applications

Generative AI apps create unprecedented productivity but introduce critical new security risks that existing solutions cannot address.

Corporate IP exposure

Employees upload proprietary documents, code repositories, and strategic data to public AI tools with no visibility into what sensitive information leaves your protected environment and becomes part of provider training data.

Intelligent, automated policy enforcement.

Sensitive information appears in prompts through copy/paste operations or direct uploads, creating compliance violations and intellectual property risks with no controls to prevent exposure before submission.

‍

Data permanence uncertainty

Information submitted to AI applications may persist indefinitely in provider logs, model training sets, and cached responses with no transparency into data retention policies or subsequent usage.

Key Benefits

AI-powered

Pre-trained LLM and Computer Vision models detect sensitive content with 95% precision - detecting PII, proprietary information, and regulated data within prompts, uploads, and clipboard operations.

Complete Data Lineage

Track sensitive content from corporate applications to AI apps - maintaining visibility when data moves from your protected environment to external LLM providers. Detect when proprietary information, credentials, or customer data crosses security boundaries through any GenAI interaction.

Comprehensive coverage

Monitor web-based AI interfaces, client applications, and integrated workplace tools like Microsoft Copilot, Gemini, ChatGPT, Perplexity, Deepseek, Grok, Claude and more with a single unified solution. Detect every potential data exposure regardless of access method.

Streamline Security Operations

Enable productive AI usage without security tradeoffs through automatic prompt sanitization, secure browser plugins, and pre-submission content filtering that maintains privacy while unlocking innovation.

Human Firewall

Coach employees on proper data handling in AI tools through real-time notifications about risky content or enforce automated redaction before the prompt is submitted.

Case studies

Loved by innovative security teams

95%

precision

10x

lower TCO

80%

self-resolution

Testimonials

“Nightfall is reliable. When it says there’s a detection, we trust that detection. For people in my field, that’s a big factor. You don’t want to waste time chasing ghosts.”

Read case study

Victor Sogaolu

Staff Security Engineer @Snyk

Testimonials

“By preventing sensitive data from reaching our code repositories, we reduce the chances of data exposure. For us, DLP is the ability to reduce risk for the company and allows us to build customer trust.”

Read case study

Shaun DeWitt

Director of Security Operations @Klaviyo

Testimonials

“Nightfall protects us from outside threats and inside vulnerabilities. It has been fantastic in helping us identify programmatic and procedural issues on our teams so that we can remediate them, rather than simply mitigate them.”

Read case study

Robert Former

CISO @Acquia

Schedule a live demo

Nightfall AI DLP for AI applications

See how Nightfall can secure your AI interactions to prevent sensitive data exposure and data exfiltration while enabling productive use of generative AI applications across your organization.