One unified platform for protecting sensitive data across SaaS, GenAI, email, and endpoints.
Legacy DLP requires a patchwork of point solutions and techniques to monitor different parts of the enterprise stack.
Built on rules and heuristics, legacy DLP solutions burden security teams with a high volume of false positive alerts.
When security teams are overwhelmed by alerts, it’s more likely for high-risk true positives to slip through the cracks—putting security and compliance at risk.
By blocking web traffic, legacy DLP creates a rift between security teams and employees.
Breaches are becoming more common—and more costly.
Active keys found leaked in the cloud for every 100 employees.
Of web attacks involve lost or stolen credentials.
We’ve expanded our industry-leading generative AI (GenAI) detection engine
to protect the enterprise from every angle.
Discover and protect sensitive data across SaaS apps, GenAI tools, and email.
Secure data by applying automatic, context-aware encryption.
Prevent unauthorized data transfers by monitoring data lineage, detecting insider threats, and controlling data movement.
Map sensitive data and manage how it’s shared across SaaS apps.
Build robust data protection into your AI apps and models.
Nightfall delivers unprecedented accuracy, automation, and time savings.
Identify and prevent the most common risks to your data, all from a
single pane of glass.
Intercept sensitive data before it’s submitted to public LLMs like OpenAI.
Monitor AI model outputs to protect your organization against prompt injection, data reconstruction, and more.
Sanitize annotation, training, fine-tuning, and retrieval-augmented generation (RAG) datasets.
Ensure continuous compliance with leading privacy standards like GDPR and CCPA.
Meet the newest addition to the engineering team at Nightfall AI.
Meet the newest addition to the engineering team at Nightfall AI.
With Slack’s AI training policy in the spotlight, it’s time to consider how you can take security for AI into your own hands.
With Slack’s AI training policy in the spotlight, it’s time to consider how you can take security for AI into your own hands.
From training to annotation to fine-tuning and beyond, here’s how a firewall for AI can help you stay secure as you build your AI model.
From training to annotation to fine-tuning and beyond, here’s how a firewall for AI can help you stay secure as you build your AI model.