Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Customer support teams face an impossible paradox: they need to help customers quickly, but customers routinely share sensitive information that creates compliance risks and security exposure. Credit card numbers pasted into chat. Driver's licenses attached to verification tickets. Medical records uploaded to troubleshoot healthcare apps. Social security numbers submitted through web forms. Traditional DLP wasn't built for this reality.

A leading cybersecurity vendor recently terminated an employee who took internal screenshots and shared them with threat actors, who then attempted to pass off the leaked material as evidence of a system breach. While no customer data was compromised and production systems remained secure, the incident exposed a blind spot that should concern every CISO: authorized users with legitimate access becoming your biggest vulnerability.

In finance, protecting customer data isn’t just good practice. It’s a regulatory mandate. The SEC’s Regulation S-P (Privacy of Consumer Financial Information) requires financial firms to guard against unauthorized access, maintain robust data-disposal practices, and have a formal incident response program. As the threat landscape has evolved, so has the regulation. This all means one thing: complacency is no longer an option.

For CISOs planning cloud migrations: Your decade of Jira and Confluence data contains thousands of exposed credentials, patient records, and payment card numbers. Here's how to clean it up and secure it after migration.

This blog post is adapted from a recent episode of The Cloudcast podcast featuring Rohan Sathe, CEO and co-founder of Nightfall AI. Listen to the full conversation here. Your employees are uploading company documents to ChatGPT. Your healthcare teams are transcribing sensitive call recordings and feeding them into LLMs. Your finance department is pasting confidential spreadsheets into publicly accessible AI tools. And unless you have visibility into these workflows, you have no idea it's happening.

Here's the latest product news and updates from Nightfall at a glance.

Last week, Palantir filed a lawsuit in Manhattan federal court alleging that two former senior engineers used Slack to transfer confidential documents - including healthcare demonstration frameworks, revenue cycle diagrams, and customer deployment plans - the day after one of them gave notice. The documents were allegedly accessed later on a personal phone. The engineers had since joined Percepta, a competing AI startup backed by General Catalyst that emerged from stealth mode in October.

A new class of AI-powered browsers are rewriting the rules of data security. While CISOs focus on traditional vectors, employees are unknowingly creating permanent backdoors to your most sensitive data through browsers that remember everything, sync everywhere, and share it all with AI models. The bottom line: If you're not actively protecting against AI browser exfiltration, you're already leaking data. Here's why it's happening, what it costs, and how to stop it today.

As organizations evaluate modern DLP solutions, the gap between vendor promises and operational reality becomes critical. Through analysis of organizations running Cyberhaven - including several evaluating migration to Nightfall - we've discovered systematic challenges that impact security effectiveness, operational efficiency, and business productivity. This analysis provides CISOs and security leaders with crucial insights for making informed DLP decisions.