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The latest News and Information on Data Security including privacy, protection, and encryption.

How Modern Businesses Are Strengthening Operations While Reducing Security Risks

The line between operational efficiency and cybersecurity has never been thinner. Every system you implement, every process you streamline, and every partner you onboard creates potential vulnerabilities that threat actors are eager to exploit. Yet standing still isn't an option. Businesses must scale, automate, and optimize to remain competitive. The key lies in choosing solutions and strategies that strengthen your security posture while improving operations.

When Customer Data Quietly Walks Out the Door: Lessons from the Coupang Breach

Large data breaches rarely begin with dramatic system failures. More often, they start with sustained, unauthorized access to sensitive data that goes undetected for months. The recent breach at Coupang, South Korea’s largest e-commerce platform, illustrates this pattern clearly. Nearly 34 million customer records were likely exposed over an extended period before detection.

Build a Context-Aware DLP Entity Detector Without Regex (Prompt-Based Detection Demo)

See how to build a prompt-based custom entity detector in Nightfall that understands context, not just patterns. Using a real healthcare example, you’ll see how prescription numbers are detected accurately while similar-looking data like purchase order numbers are ignored. You’ll see: Why regex breaks down in real workflows How prompt-based detection reduces false positives Creating a custom detector with positive and negative examples Deploying it to Slack and validating results across files.

20 Causes of Data Loss Threatening Businesses in 2026

Data is not just a strategic asset. It’s the lifeblood of your organization. Losing access to any strategic asset can threaten an organization’s viability; without plants and equipment, manufacturers would find it difficult to succeed, and service providers can’t operate without brand recognition. Similarly, without data, your organization could be left in a state of complete and utter paralysis, unable to function or recover.

Create Custom File Classifiers with Nightfall AI. No Regex Required

DLP solutions have a challenge in detecting standard document types: financial records, source code, and customer lists. Moreover, what happens when your organization needs to protect business-critical documents that don't fit pre-built categories? Or when you need more granular classification to support specific workflows? Traditional approaches force you to choose between brittle regex patterns that generate false positives.

Create Highly Specific File Classifiers with Nightfall's Prompt-Based AI. No Regex Required

Many sensitive documents don’t fit cleanly into standard categories, and traditional approaches like regex or broad classifiers often create noise and false positives. In this video, we walk through how to use Nightfall’s prompt-based file classifiers to detect business-critical documents based on intent, not brittle patterns or custom model tuning.

AI-Native Browsers Demand AI-Native Security: Why Legacy DLP Can't Protect You

In our recent analysis of AI browser exfiltration risks, we exposed how OpenAI's Atlas and Perplexity's Comet create permanent backdoors to sensitive data through persistent memory, autonomous agents, and cross-platform sync. The challenges with AI native browsers strongly resonated with CISO’s and security leaders we speak with on a daily basis. But the threat extends far beyond Atlas and Comet.

PII Detection in Unstructured Text: Why Regex Fails (And What Works)

Let’s look at something many teams quietly struggle with. Detecting PII inside unstructured text. It feels like it should be simple. After all, we’ve used regular expressions for years to find emails, phone numbers, and ID formats. Yet when we deploy regex in real environments. ticket systems, chat logs, CRM notes, uploaded documents, support transcripts. something becomes clear very quickly. Regex isn’t enough.