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By Anant Mahajan
Our customers often tell us about how they implement manual classification policies. However, with several hundreds of files created daily, and constant sharing between teams, it becomes impossible to enforce secure sharing and sensitive data protection. Imagine that your sales team just accidentally shared a spreadsheet containing customer credit card details with an external vendor. Or perhaps your HR department stored employee health records in a folder that wasn't properly restricted.
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By Isaac Madan
Where are your credentials and secrets, and how are you protecting them? These are fair questions, considering the pervasiveness of secrets sprawl. We recently conducted research over 12 months to determine where enterprises’ secrets were residing within their systems, like GitHub, Confluence, Zendesk and Slack. In addition to API keys and passwords, secrets like SSL certificates, usernames and others are spilling into enterprises’ cloud environments and increasing the risk of a breach.
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By Lindsey Watts
When it comes to building a comprehensive data security strategy, everything hinges on finding and accurately classifying all your sensitive data. It seems security professionals have finally given up on legacy solutions that require extensive labeling and manual data mapping — and not a moment too soon. We're confident no one will mourn the passing of legacy solutions.
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By Madeline Day
These days, your organization's data is its most valuable asset. But what happens when that data slips through your fingers? Picture this: It's Friday afternoon, and your security team receives an alert about an unusual number of downloads from your cloud storage app, Google Drive. As you investigate, you realize it's corporate IP that's being downloaded en masse by a departing employee. This type of exfiltration incident isn't just hypothetical; it's a reality that organizations face on the daily.
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By Isaac Madan
AI-powered solutions are becoming increasingly prevalent in enterprise environments, leading to a new trend in procurement: the need for comprehensive AI governance frameworks. This shift reflects a growing awareness of AI-specific risks and the need for more granular controls. As the founder of Nightfall AI, a startup building AI models for data security, I've navigated hundreds of procurement cycles and observed a rise in AI-specific requirements.
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By The Nightfall Team
Data security leaders, take note: Nightfall has emerged as a frontrunner in G2's Fall 2024 reports, securing top positions in Data Loss Prevention Software, Data Security Software and Sensitive Data Discovery Software categories. This achievement reflects our unwavering commitment to excellence, as well as your trust in our AI-powered solutions. We extend our deepest gratitude to our valued customers and supporters, as your feedback helps us to drive innovation.
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By The Nightfall Team
San Francisco, California, September 18, 2024 — Nightfall AI has been named a winner in the prestigious 2024 SC Awards. Nightfall has been recognized in the Best Data Security Solution and Best Insider Threat Solution categories, underscoring their team’s commitment to excellence and leadership in the cybersecurity industry. View the full list of 2024 SC Awards winners here.
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By The Nightfall Team
These days, we use Gmail for everything from customer service to telehealth. Over time, your Gmail account might become a treasure trove of sensitive PII, PCI, PHI, and passwords that hackers can leverage. In fact, as of this year, just under half of all data breaches involve email. So, what can you do to protect your inbox? Enter: email encryption.
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By Brian Hutchins
As Generative AI (GenAI) and Large Language Models (LLMs) become integral to modern apps, we face a critical challenge of protecting sensitive user data from inadvertent exposure. In this article, we’ll explore the importance of content filtering in LLM-powered apps, and provide strategies for its implementation. Looking for step-by-step tutorials on prompt sanitization for OpenAI, Langchain, Anthropic, and more? Skip down to the “Tutorials & further learning” section below.
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By Nightfall
Nightfall AI has been recognized as a 2024 SC Award finalist in the Trust Award categories for Best Data Security Solution and Best Insider Threat Solution. Celebrating its 27th year, the SC Awards recognize the solutions, organizations, and individuals that have demonstrated exceptional achievement in advancing information security.
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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.
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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.
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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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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.