Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

What Your Data Loss Prevention Tool Misses Every Single Day

In this video, you will learn why legacy DLP tools go blind when sensitive data is copy-pasted into generative AI tools, how Data Lineage fingerprints information at its origin to track it across transformation within an environment, and how operating system-level monitoring eliminates the encryption blindness that limits browsers and firewalls. You will also see how to build context-aware paste policies that allow productive AI use while blocking high-risk data flows from sources like source code repositories, Salesforce, and internal wikis.

Standalone Browser Extension: Data Security Without the Endpoint Agent

Most enterprise data security tools are built for a world where IT owns and manages every device. That world no longer exists. Contractors work from personal laptops. Entire teams run ChromeOS. Frontline workers access corporate systems through shared or unmanaged devices. And every one of those browser sessions can involve uploads, downloads, copy-paste, and form inputs touching sensitive data.

How to Deploy DSPM Across Multiple Cloud Environments

Most enterprises are not running on a single cloud. The vast majority of organizations now operate in hybrid or multi-cloud environments and sensitive data follows wherever workloads go. Regulated files end up in S3 buckets. PII lands in BigQuery development tables. Source code copies into Azure Data Lake repositories that no policy anticipated. The problem is not that organizations chose to spread data across clouds. The problem is that most security programs were not built to track it.

DLP Buyer's Guide: 8 Criteria for Evaluating Data Loss Prevention Solutions

Every DLP evaluation starts with the same frustration: The tools that dominated the market a decade ago were built for a threat landscape that no longer exists. Sensitive data now moves across SaaS platforms, AI tools, encrypted messaging apps, and personal cloud accounts, often in ways no file-level policy can follow. If you are evaluating DLP for the first time or replacing a tool that has underdelivered, this guide gives you the framework to ask the right questions and recognize the right answers.

The Three Pillars of Durable Data Security: Presence, Lineage, and AI

Every security vendor now claims artificial intelligence (AI) capabilities. Foundation models are becoming increasingly interchangeable, and the gap between what vendors promise and what programs actually deliver is widening. The question worth asking is not which vendor has the best model. It is: what is the model running on? The answer to that question determines whether a data security program hardens over time or requires constant manual maintenance.

How DSPM Improves Compliance for Enterprises

Regulatory compliance is one of the most operationally expensive obligations security and legal teams carry. GDPR, HIPAA, CCPA, PCI DSS, and CMMC all require organizations to demonstrate, on demand, that they know where regulated data lives, who can access it, and how it is protected. Most enterprises struggle to meet that standard because they are trying to answer a continuous question with a periodic process.

Best AI Security Vendors in 2026

Something fundamental changed in the last twelve months. Employees went from asking AI questions to handing it the keys to enterprise data. AI agents now read email, ship code, and query databases, and increasingly, they act without a human in the loop. Security teams evaluating AI security vendors in 2026 are not shopping for the same category they were in 2023. The threat model has changed. The vendors have not all kept pace.

Why High DLP False Positive Rates Are a Security Problem, Not Just an Ops Problem

Most security teams treat a high volume of false positives as an analyst problem. Too many alerts, too little time, not enough headcount. So they add analysts, tune a few policies, and move on. That response is understandable, but it misdiagnoses the problem. When data loss prevention (DLP) false positive rates stay high over time, the issue is not a staffing gap. It is a detection accuracy problem, one that sits inside the tool, not the team.

Compliance in the Cloud: Navigating B2B Telecom Security

B2B security in the cloud is changing fast for companies in every industry. Businesses need to keep their data safe while staying connected to clients and partners across the globe. Modern telecom systems offer more than just simple voice calls or messaging. They provide a foundation for growth and meeting strict legal rules in a digital world.