Customer support has become one of the biggest sources of sensitive data exposure. Legacy DLP was never designed to prevent this.
Insider risk increasingly hinges on ordinary desktop actions that evade traditional controls like screenshots, clipboard moves, and post-download uploads.
A practical playbook for how to plan and execute an Atlassian Cloud migration, with data security top of mind.
Nightfall’s latest updates make it easier for security teams to detect risk, prevent data loss, and act confidently.
The lesson from Palantir is clear: if you can’t see how your data moves, you’re vulnerable. No matter the company size.
A new generation of AI-powered browsers, like OpenAI’s Atlas and Perplexity’s Comet, are changing the threat landscape. They remember everything. Sync everywhere. And operate far beyond your DLP’s visibility.
See why organizations are shifting from reactive monitoring with Cyberhaven to intelligent prevention with Nightfall AI
Security teams are hitting a wall with Code42
The Cloudflare breach is the latest reminder: your supply chain is your attack surface.
Insiders have the ultimate exploit: legitimacy. That’s why insider threats are so dangerous. They look normal. Until it’s too late.
Workday disclosed a breach that exposed customer data through a sophisticated ShinyHunters campaign. Read why this isn’t just another incident: it's proof that traditional DLP is obsolete.
Chasing AI productivity gains can come with a hidden cost: invisible data exposure
The Reality Behind Exchange Online DLP: What Customers Actually Experience
Go beyond legacy DLP tools to get comprehensive email protection
Email has become one of the most notorious data exfiltration vectors
Customers need an automated, dynamic, and human-centric cloud DLP solution to label and classify data in Google Drive.
Discover how to send encrypted emails in Gmail using Nightfall’s AI-powered encryption tools.