Nightfall AI

Legacy data loss prevention (DLP) tools overwhelm security teams with manual alerts and provide little real-time guidance to employees. This leaves organizations vulnerable to data exposure. Nightfall AI flips the script on legacy DLP with human-centric remediation. Here’s how you can empower your employees to protect sensitive data in real time: - Instant in-app alerts – When sensitive data like an API key is shared, Nightfall immediately alerts the sender to take corrective action. - Self-healing and redaction – Users can redact or delete the sensitive info instantly, minimizing data exposure without disrupting collaboration. - Real-time coaching – Every alert is a learning opportunity that helps employees build better security habits over time. Read our blog post to watch a 3-min demo video and see how Nightfall’s human firewall delivers: - Reduced manual work for security teams - Increased employee accountability for data security - Fewer repeated mistakes https://lnkd.in/ghnd2Z9z #NightfallAI #DLP #AI #Cybersecurity #HumanFirewall

Mark your calendar for April 2 and Nightfall.ai’s exclusive event - Beyond the Gridiron: Kelvin Beachum's Playbook for Investing in Enterprise AI and Security. NFL veteran and tech investor Kelvin B. is joining Nightfall.ai co-founder Rohan Sathe for an exclusive fireside chat on April 2. We’re excited to hear Kelvin’s experiences in football and the boardroom: - His beginnings in angel investing? - How he evaluates investing in AI & security-focused enterprise startups - Practical advice for infosec leaders & engineers breaking into investing Save your seat now for our virtual session on Wednesday, April 2, 2025 at 1:30 PM PT | 4:30 PM ET #AI #AngelInvesting #VentureCapital #Cybersecurity #NightfallAI

Enrique Salem recently joined us for a discussion on his experiences as a tech investor and Nightfall AI board member. Enrique has been involved in DLP since his days leading Symantec. He summed up our differentiation with a clear framework: the three I’s of DLP. Hear Enrique speak briefly on why DLP must be Invisible, Invincible, and Inexpensive, and how those three ideas work together to create Nightfall’s all-in-one data loss prevention solution. #NightfallAI #DLP #Cybersecurity #AI #TechLeadership

We’re so excited and honored to be on Forbes’ list of America’s Best Startup Employers! Our incredible team at Nightfall AI is why we’re on this list - everyone here is constantly pushing innovation forward through collaboration and creative approaches to problem solving. Thank you to everyone who makes Nightfall the best place on earth to work! #ForbesBestStartupEmployers #NightfallAI #Innovation #TechCareers #Cybersecurity

How can we balance the risk and reward of adding AI to workflows? In our short video, we discuss how Nightfall DLP combines the best of the technical and human aspects of data protection for flexible and safe usage of gen AI tools like ChatGPT. You can also find our blog post on preventing sensitive data exposure in chatbots in the comments + share your thoughts and questions with us. #DLP #genAI #chatgpt #NightfallAI #cybersecurity

You’re invited to Nightfall’s exclusive conversation with NFL veteran and tech investor Kelvin Beachum. In our chat hosted by Rohan Sathe, Nightfall AI co-founder, we’ll dive into Kelvin's experiences across the two different worlds of football and enterprise AI: - How Kelvin got started in angel investing and built his network - His criteria for investing in AI and security-driven enterprise companies - Actionable tips for infosec leaders and engineers looking to break into investing and advising startups - How Kelvin supports his portfolio companies for long-term success Don’t miss this opportunity to gain practical insights from a pro athlete turned tech investor with a unique cross-industry perspective. Beyond the Gridiron: Kelvin Beachum's Playbook for Investing in Enterprise AI and Security Wednesday, April 2, 2025 1:30 PM PT | 4:30 PM ET Virtual Save your seat: https://hubs.li/Q038_bR80 #AI #AngelInvesting #VentureCapital #Cybersecurity #NightfallAI

Do you know what’s on your device’s clipboard? Any copied data can be stored in the clipboard and easily exposed in ways you might not expect: - AI chatbots and third-party apps can leak secrets - Websites can request (and retain!) clipboard permissions after end user approval - Tools like Microsoft Office can log and sync clipboard history across devices and the cloud DLP solutions can monitor clipboard activity and prevent sensitive data from being copied and pasted where it shouldn’t be. Share your questions about protecting your clipboard data in the comments.

How secure is your sensitive data? A strong Data Loss Prevention (DLP) strategy depends on two key pillars: 1. Data classification identifies the sensitive content that needs to be protected. 2. Data lineage provides full visibility into data activity and access across files, drives, and SaaS apps. When you combine content visibility with activity tracking, you gain full control over your data—helping prevent leaks before they happen. Share how you’re using data lineage in your DLP strategy in the comments.

4 reasons to break up with your legacy DLP solution: 1. Lacking data lineage so you can’t track who has access to important information and confidential spaces, or trace file activity across SaaS and endpoint systems. 2. Rigid rule-based detection relies on regex, leading to high false positive rates and possibly missing important data that must be scanned and protected. 3. Limited visibility into SaaS apps with piecemeal solutions that monitor different parts of the data ecosystem. 4. Disruptive implementation that can take weeks to fully get online, and functionality that blocks web traffic and overwhelms users with meaningless alerts. Find a DLP solution that you love – like AI-native. all-in-one Nightfall: 1. Data lineage provides visibility into SaaS and endpoint systems so you can see where data and files are, who has access, and the devices and browsers where downloads and uploads happen. 2. AI-powered content and context aware detection that uses machine learning to scan data with higher accuracy, resulting in 2x greater precision and 4x fewer false positives – and less noise. 3. Comprehensive coverage with cloud-native architecture protects sensitive data across SaaS applications, generative AI, email, and endpoints with no impact to user productivity. Protecting sensitive data is at the heart of the matter for security teams. Start thinking about how to meet your perfect match for all-in-one data loss prevention. #DLP #nightfall #cybersecurity #endpoint #SaaS

AI has changed how we solve problems and think of new ideas for projects and tasks. It’s also changing the way we approach data security, especially when implementing AI chatbots like DeepSeek. Sensitive data–payment details, proprietary secrets, and personal information–could be stored, shared, or leaked by AI-powered chatbots or malicious actors. Three simple yet robust data loss prevention (DLP) strategies can reduce risk while ensuring that secrets and credentials stay safe: - Blocking sensitive uploads with data lineage - Educating your teams in real time to create a culture of security - Monitoring AI usage by combining data lineage with data classification Learn how to implement a stronger security posture when using AI: https://hubs.li/Q036cJxJ0 #cloudDLP #nightfall #AI #chatbot