Nightfall

San Francisco, CA, USA
2019
  |  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 Rohan Sathe
From Uber in 2016 to Okta in 2023 to Sisense in 2024, it’s evident that there’s a pattern behind the tech industry’s most devastating breaches: Data sprawl. Let’s dive into how data sprawl played a part in last week’s Sisense breach, as well as how security teams can be proactive in defending against similar attacks.
  |  By The Nightfall Team
We’re thrilled to announce that Nightfall was selected as the “Data Security Solution of the Year” in the 2024 Data Breakthrough Awards. With enterprises scrambling to stay on the cutting edge of innovation, it’s all too easy to lose sight of data stewardship. In addition to SaaS apps, email, and endpoints, now enterprises must also safeguard their generative AI (GenAI) applications, including both custom and third-party GenAI tools.
  |  By Isaac Madan
In the rapidly evolving AI landscape, the principle of least privilege is a crucial security and compliance consideration. Least privilege dictates that any entity—user or system—should have only the minimum level of access permissions necessary to perform its intended functions. This principle is especially vital when it comes to AI models, as it applies to both the training and inference phases.
  |  By Isaac Madan
As the adoption of AI models, particularly large language models (LLMs), continues to accelerate, enterprises are growing increasingly concerned about implementing proper security measures to protect these systems. Integrating LLMs into internet-connected applications exposes new attack surfaces that malicious actors could potentially exploit.
  |  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.