Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The Evolution of Data Loss Prevention: From Perimeter to Insider Risk

Data loss prevention, or DLP as most of us know it, began as a strategy to control how information was stored and moved within organizations. Ultimately the goal was to prevent data from leaving. The premise was simple – identify where sensitive data was stored, define what could or couldn’t happen to it, and enforce those rules through network and endpoint controls. These early DLP tools relied heavily on static content inspection and then blocking or alerting based on pre-configured rules.

[Webinar] Protecting Innovation: Use AI Securely While Safeguarding Data

AI use at work has exploded—nearly every employee is experimenting with AI tools. But behind the productivity gains lies a major blind spot: 71% of AI apps in use today were not approved by IT or security teams. These tools are flying under the radar, and they’re sending sensitive company data to unknown third parties. Cyberhaven Labs analyzed AI tool usage across millions of real-world events and found widespread shadow AI, uncontrolled data exposure, and risky behavior by employees—often without realizing it. The implications are clear: you can’t secure what you can’t see.

Guide to The Data Protection Impact Assessment (DPIA)

We’re almost halfway through 2025, yet the cost of a data breach this year has already reached $5.3 million, an 8% increase from last year. This increase in cyberattacks, such as ransomware, has prompted regulatory bodies such as the GDPR, HIPPA, and many others to introduce new data protection laws to protect customer data. One of these is the Data Protection Impact Assessment (DIPA), one of many tools for organizations to prevent data breaches.
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Data Protection vs. Cyber Resilience: Mastering Both in a Complex IT Landscape

Today's always-on, hyperconnected world requires CIOs to confront two equally important concepts: data protection and cyber resilience. As reliance on data to fuel analytics, engineering, marketing, and other key operations increases, the complexity surrounding IT infrastructure grows in tandem. Hybrid workforces, edge computing, cloud-native applications, and legacy systems add further complexity to the mix.

See Falcon Data Protection in Action

Adversaries are after your sensitive data. Falcon Data Protection, part of the powerful CrowdStrike Falcon Platform, takes a modern approach to securing your enterprise data from adversaries. By combining content with context, see how Falcon Data Protection provides deep real-time visibility into what is happening with your sensitive data as they move from the source to the destination. CrowdStrike Falcon Data Protection.

Snapshot vs. Backup: Key Differences in Data Protection

Recent studies indicate that data loss incidents typically cost companies millions for damages and recovery efforts. The distinction between snapshots and backups remains poorly understood, yet they serve completely different functions when it comes to safeguarding your information assets. Snapshots offer quick point-in-time copies, while backups provide comprehensive, long-term data protection.

The Importance of Data Cleaning After Scraping

Internet data extraction provides critical capabilities to businesses and research teams and software developers who demand current information. A major drawback of website data scraping is disorganized along with inconsistent and incomplete raw data stores. The value of gathered data becomes negligible when cleaning processes are omitted from the retrieval process. Clear recognition of data cleaning importance together with knowledge about its positive effects on dataset quality leads to reliable web scraping project outcomes.

Cyberhaven Spring 2025 Product Launch

AI Took Off. We’re Launching the Controls. Discover how Cyberhaven is rewriting the rules of AI data security. Our newest innovation is too big to call a feature — it’s a new frontier. AI changed everything... fast. Productivity soared, but so did risk. Employees embraced AI, and data raced across tools without oversight. The question isn’t if your organization is using AI — it’s how much risk it’s exposing in the process.

Cyberhaven Winter 2025 Product Launch

Join us for the exclusive unveiling of Cyberhaven's next evolution, hosted by our leadership & product teams. We're (once again) changing the way companies visualize, detect, and protect their data. Be the first to see what's next. Imagine if You Could: Discover how Cyberhaven is setting the gold standard for the future of data security in the age of AI.