Nightfall AI

👀 It's that time again! You won't want to miss these latest insights from our July "State of Secrets" report. In this month's report, we found that the following #SaaS apps were the most likely to contain sprawled API keys. 1. Google Drive 2. Slack 3. OneDrive 4. Jira 5. GitHub Check out the Nightfall blog for helpful tips, tricks, and best practices for securing your secrets across the cloud and beyond ⬇ https://lnkd.in/eYGiwrFg #DLP #cybersecurity #AI

Data Leak Prevention (#DLP) policies are useful tools for preventing secret sprawl, stopping data exfiltration, securing AI usage, and more. Read our latest blog post to learn... ✅ Why it's important to have DLP policies in place ✅ What makes an effective DLP policy ✅ Where to find popular DLP policies that are ready right out of the box ✅ How to create your own custom DLP policies What are you waiting for? Start exploring DLP policies today ⬇ https://lnkd.in/eYGiwrFg 

Looking for easy, out-of-the-box DLP policies to protect PII, PCI, PHI, secrets, and IP? Look no further with the Nightfall Feed: A community for discovering, sharing, and collaborating on templates for DLP policies, detectors, and more. ✅ Explore and discover popular DLP policies ✅ Implement policies based on best practices, directly in Nightfall ✅ Test and validate detectors for PII, PCI, secrets, and more ✅ Contribute your own policies and detectors Start exploring the Nightfall Feed today ⬇️ https://feed.nightfall.ai/

Generative AI is the latest “it” technology—but it’s also the newest threat vector. So what can your organization do to anticipate threats and secure your sensitive data? Nightfall’s Firewall for AI is a high-accuracy, low-latency API that protects sensitive data in any GenAI or SaaS app. ✅ Scan for PII, payment card data (PCI), healthcare data (PHI), credentials, intellectual property, and more. ✅ Automatically redact, delete, encrypt, or mask sensitive data before it’s leaked to third-party LLMs, embedded in RAG databases, or added to your model training data. ✅ Experience unmatched accuracy, throughput, and response times. Explore our platform and create your free account using the link below ⬇️ https://firewallforai.com/

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. Read the full story here ➡️ https://lnkd.in/eKtCKrSN

Looking for ways to stay secure while using ChatGPT, GitHub, Google Drive, and more? Exabeam does just that by leveraging Nightfall's... ✅ Hi-res visibility across business-critical SaaS and GenAI apps ✅ Granular remediation options, including our Human Firewall feature Learn more by reading Exabeam's dedicated case study ⬇️ https://lnkd.in/ekctH9A9 #chatgpt #github #gdrive #saas #dlp #cybersecurity

Are Slack and other SaaS apps allowed to train their AI models on your data? Nightfall CTO and Co-Founder Rohan Sathe offers key insights in TechRadar Pro. "Anyone using technology today—especially for work—should assume their data will be used to train AI. That’s why it’s up to individuals and companies to avoid sharing sensitive data with third-party apps." https://lnkd.in/e_jiXxXh #slack #SaaS #ai #llms #dlp #cybersecurity

Nightfall AI is hosting "3 Ways to Prevent Data Exfiltration in your SaaS Apps". Make sure to attend it on June 27.

From customer service chatbots to enterprise search tools, it’s essential to protect your sensitive data while using or building AI. With Nightfall’s Firewall for AI, you can… 1️⃣ Intercept prompts containing sensitive data before they’re sent to third-party LLMs or included in your training data. 2️⃣ Filter out sensitive data during every phase of the model-building process, from training to fine-tuning to retrieval-augmented generation (RAG), and beyond. 3️⃣ Create conversational guardrails and prevent adversarial attacks like prompt injection, jailbreaking, and data poisoning. Learn more by watching our Firewall for AI demo ⬇ https://lnkd.in/d27D_5Ry #AI #DLP #cybersecurity

Human error can play a huge role in data leaks and breaches, especially when it comes to using AI apps like ChatGPT. Check out our step-by-step guide to learn how you can use ChatGPT without worrying about exposing sensitive company or customer data ⬇️ https://lnkd.in/gzurvGm6 #ChatGPT #AI #cybersecurity #DLP