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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.
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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.
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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.
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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.
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By The Nightfall Team
Nightfall has been named a Leader in Data Loss Prevention (DLP), Sensitive Data Discovery, and Data Security in G2’s Spring ‘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 secure their sensitive data across SaaS apps, GenAI tools, email, and endpoints.
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By The Nightfall Team
ICYMI, Nightfall recently launched a suite of enterprise DLP offerings including Data Exfiltration Prevention, Data Encryption, Sensitive Data Protection for SaaS and Email, and SaaS Security Posture Management (SSPM). To celebrate our new offerings, as well as our sixth birthday, we took a moment to gather insights from investors including Ryan Nece, Enrique Salem, Maynard Webb, Frederic Kerrest, and Kelvin Beachum Jr.
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By Isaac Madan
Back in 2018, Rohan and I founded Nightfall on the belief that AI could make data leak prevention (DLP) better, faster, and more accessible to every enterprise. At the time, Rohan was a founding engineer at Uber Eats, and I was an investor at Venrock specializing in SaaS and security. From these respective vantage points, we could see that legacy solutions weren’t working, and could never keep up with the evolving threat landscape.
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By Madeline Day
In order to prevent worst-case data leak and data loss scenarios, security teams need to have both proactive and reactive measures in place. Let’s explore this further with an example. Imagine your sensitive data as valuables within a house. There are multiple ways to secure that house, including the following. To put this example into practice, security teams would need to: The first and last of these bullet points fall under the umbrella of SaaS Security Posture Management, or SSPM.
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By Isaac Madan
As the adoption of generative AI (GenAI) accelerates across enterprises, one of the most promising applications emerges in customer support. GenAI enables automated responses, allowing businesses to engage in natural conversations with customers and provide real-time chat support. However, this convenience comes with inherent risks, particularly concerning data privacy.
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By Madeline Day
The modern enterprise relies on hundreds of SaaS apps, email services, generative AI (GenAI) tools, custom apps, and LLMs, which often contain sensitive data. For too long, security teams have been forced to patch together point solutions for coverage across these channels, increasing their workloads and creating opportunities for sensitive data to slip through the cracks. This is precisely where Nightfall’s single-pane-of-glass solution comes into play: With Nightfall Sensitive Data Protection.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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By Nightfall
Karim Beldjilali, current Nightfall CISO and former CISO of Rightway, speaks about how security has shifted from prevention to safe enablement of collaboration. This informed Karim's selection of security tools as he knew he needed to leverage HIPAA compliance solutions. in line with this philosophy.
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By Nightfall
Karim Beldjilali, current Nightfall CISO and former CISO of Rightway detail Nightfall's 90 day impact on HIPAA compliance initiatives in his former role and why the platform is useful for the security and enablement of secure cloud usage in healthcare settings.
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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.