Nightfall

San Francisco, CA, USA
2019
  |  By Puja Shah
Do you have secrets sprawled across your tech stack? The recent Disney breach is as good a reminder as any to check, because it’s likely that you do. But first, let’s take a closer look at the Disney breach to understand what may have gone wrong, and how you can prevent a similar breach from happening to your business.
  |  By The Nightfall Team
In today’s cloud-based work environments, it’s all too easy for assets with sensitive data like PII, PCI, PHI, secrets, and intellectual property (IP) to be sprawled across the enterprise tech stack. With the skyrocketing costs of data breaches, one sprawled secret can cost organizations an average of $4.45 million. This is where Data Leak Prevention (DLP) solutions come in to limit secret sprawl, prevent data leaks, and ensure continuous compliance with leading standards.
  |  By Isaac Madan
Whether organizations are looking to prevent data exposure, meet leading compliance standards, or simply earn customer trust, Data Leak Prevention (DLP) policies are effective tools for pinpointing and protecting sensitive data across the cloud and beyond. DLP policies are especially useful in the following top use cases.
  |  By The Nightfall Team
Nightfall has been named a Leader in Data Loss Prevention (DLP), Sensitive Data Discovery, Data Security, and Cloud Data Security in G2’s Summer ‘24 reports. We’d like to extend a huge thank you to all of Nightfall’s customers and supporters for making this possible. We’re also happy to acknowledge the Nightfall team’s tireless innovation, all in pursuit of helping customers to protect their sensitive data across the sprawling enterprise attack surface.
  |  By The Nightfall Team
Last week’s release of OpenAI’s GPT-4o, along with the story around Slack’s AI training policy, goes to show that AI innovation is happening at a rate where, for most companies, security simply can’t keep up.
  |  By Rohan Sathe
AI is everywhere—but how can you be sure that your data isn’t being used to train the AI models that power your favorite SaaS apps like Slack? This topic reached a fever pitch on Hacker News last week, when a flurry of Slack users vented their frustrations about the messaging app’s obtuse privacy policy. The main issue?
  |  By Brian Hutchins
After the debut of ChatGPT, and the ensuing popularity of AI, many organizations are leveraging large language models (LLMs) to develop new AI-powered apps. Amidst this exciting wave of innovation, it’s essential for security teams, product managers, and developers to ensure that sensitive data doesn’t make its way into these apps during the model-building phase.
  |  By Brian Hutchins
Everywhere we look, organizations are harnessing the power of large language models (LLMs) to develop cutting-edge AI applications like chatbots, virtual assistants, and more. Yet even amidst the fast pace of innovation, it’s crucial for security teams and developers to take a moment to ensure that proper safeguards are in place to protect company and customer data.
  |  By The Nightfall Team
It’s that time of year again: The 2024 Verizon Data Breach Investigations Report is back with the top trends in security breaches over the past year. Read on for an at-a-glance look of some of the report’s most interesting—and actionable—findings.
  |  By Aziz El Ouaqid
Cloud storage services and SaaS apps like Google Drive and Microsoft OneDrive provide convenient, scalable solutions for managing documents, photos, and more—making them indispensable for modern work and personal life. However, misconfigured settings and permissions can lead to serious security breaches, noncompliance, and even the loss of customer trust. Let’s explore the 5 most common misconfiguration issues with real-world examples.
  |  By Nightfall
From customer service chatbots to enterprise search tools, it’s essential to protect your sensitive data while building or using AI. Enter: Nightfall’s Firewall for AI, which connects seamlessly via APIs and SDKs to detect sensitive data exposure in your AI apps and data pipelines. With Nightfall’s Firewall for AI, you can… … intercept prompts containing sensitive data before they’re sent to third-party LLMs or included in your training data.
  |  By Nightfall
Data leak prevention (DLP) has become a critical tool for securing the modern enterprise. Think of popular workplace apps like Slack, Salesforce, Google Drive, M365, ChatGPT, and more; these apps have revolutionized workplace productivity, but they’ve also provided new pathways to spread sensitive data and risk compliance. This is where DLP solutions come in. However, legacy DLP relies on rules and heuristics, which overload security teams with false positive alerts and slow the remediation process to a grinding halt.
  |  By Nightfall
Leverage Nightfall’s AI-native platform to pinpoint and protect PII, PCI, PHI, secrets, and credentials across SaaS and email, including Gmail. Built with AI at the core, Nightfall Sensitive Data Protection is transforming email DLP by helping security teams to… … detect sensitive data with 2x better precision and 4x fewer false positive alerts. … act swiftly by blocking or quarantining emails, or removing attachments that contain sensitive data.
  |  By Nightfall
Nightfall Data Exfiltration Prevention uses generative AI to discover sensitive data and monitor data movement across SaaS apps like Google Drive. Nightfall’s enterprise-grade data leak prevention platform offers several key benefits, such as… … complete coverage across SaaS apps and managed endpoints. … enhanced detection accuracy, leading to 4x fewer false positive alerts. … streamlined workflows, so security teams can monitor data movement and take action from within a single user-friendly console.
  |  By Nightfall
Nightfall SaaS Security Posture Management (SSPM) offers real-time visibility into permissions and sharing settings to prevent security posture drift. Nightfall leverages generative AI (GenAI) for a dynamic and responsive management approach to SaaS security posture, which means… … unparalleled visibility into sharing and permissions settings across SaaS apps. … enhanced detection accuracy, leading to 4x fewer false positive alerts.
  |  By Nightfall
Legacy DLP solutions never worked. They're point solutions that generate an overwhelming number of false positive alerts, and block the business in the process. But no longer. Enter: Nightfall AI, the first AI-native enterprise DLP platform that protects sensitive data across SaaS, generative AI (GenAI), email, and endpoints, all from the convenience of a unified console.
  |  By Nightfall
Nightfall's AI-powered detection engine leads the way in discovering PII, PHI, secrets, and images across SaaS apps, generative AI (GenAI) tools, email, and endpoints.
  |  By Nightfall
**ChatGPT Data Leak Prevention (DLP) by Nightfall AI: Prevent Data Leaks and Protect Privacy** ChatGPT is a powerful AI utility that can be used for a variety of tasks, such as generating text, translating languages, and writing different kinds of creative content. However, it is important to use ChatGPT safely and securely to prevent data leaks, protect privacy, and reduce risk.
  |  By Nightfall
Nightfall is the first AI-powered data leak prevention (DLP) solution for Zendesk. Discover sensitive data in support tickets and files. Automatically find and remove PII, PCI, and API keys, reducing the risk of breach and simplifying compliance.
  |  By Nightfall
Karim Beldjilali, current Nightfall CISO and former CISO of Rightway, speaks about how he strategized about enabling cloud HIPAA compliance in his previous role. Karim initially boiled down HIPAA compliance to three key areas before searching for tools to manage cloud HIPAA data compliance.

Nightfall™ uses machine learning to identify business-critical data, like customer PII, across your SaaS, APIs, and data infrastructure, so you can manage & protect it.

Our deep learning-based classifiers are trained on massive volumes of data to yield high accuracy. Unlike traditional methods, Nightfall considers the context surrounding a given token in order to accurately classify it. This means Nightfall performs well on unstructured and ambiguous data, which is increasingly common in enterprises today. Nightfall parses and scans 100+ file types, including images, screenshots, compressed folders, PDFs, etc.

Nightfall does not store or track your sensitive data. Our classifications are fed into the Nightfall platform so you can review & remediate the findings, or leverage them in your own way via our REST API.

Discover, classify, and protect your sensitive data:

  • Discover: Integrate in minutes with cloud services via APIs to monitor data without agents.
  • Classify: Machine learning classifies your sensitive data & PII with high accuracy, so nothing gets missed.
  • Protect: Setup automated workflows for quarantines, deletions, alerts, and more - saving you time and keeping your business safe.

Join some of the world's leading enterprises who trust us to protect their mission-critical data.