Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The latest News and Information on Insider Threats including employee monitoring and data privacy.

Veriato Demo - Behavioral Visibility Across the Organization

Behavioral visibility is no longer just a security requirement. It is essential business intelligence. This demo showcases how Veriato delivers organization-wide visibility across security, HR, compliance, legal, finance, and operations teams. By capturing and analyzing behavioral data in real time, Veriato helps organizations uncover risk, improve operational clarity, and make smarter decisions. Inside this demo.

Veriato Demo - Insider Risk Management (IRM)

See how Veriato IRM delivers behavioral visibility to help organizations detect and prevent insider threats before they escalate. This demo showcases Veriato’s Insider Risk Management platform in action, including AI-driven risk scoring, behavioral analytics, sentiment analysis, anomaly detection, and real-time alerting. Learn how security, compliance, and leadership teams can move beyond reactive monitoring to proactively identify risky behavior, investigate incidents faster, and strengthen organizational resilience.

Experts State That Insider Threat Could Be The Biggest Risk You Face This Year, But What Does That Actually Mean?

If you look solely for outside threats to your business, then you're only seeing half of the picture. External risks like ransomware and phishing pose no more of a threat to operations than so-called 'insider threats', which can see entire data sets laid bare. Worse, there's clear evidence that insider threats are on the rise in roughly 42% of countries. Unsurprisingly, then, experts are classifying insider threat as one of the biggest risks businesses are facing this year.

The 10 Best Enterprise AI Data Loss Prevention Tools

AI usage is invisible to most security tools. Network monitoring sees HTTPS traffic. Endpoint detection sees browser activity. CASB platforms see cloud application access. None of them sees what employees type into AI prompts or upload to AI services through web forms. This invisibility creates a problem. Organizations can’t prove they didn’t expose customer data through AI because they can’t see the data that employees shared.

CurrentWare v12.0.2 Release | Smarter Productivity Tracking & Alerts

CurrentWare v12.0.2 release focuses on a single shift: Turning passive visibility into decision-ready intelligence. From energy cost visibility to fair productivity measurement, from real-time behavioral alerts to cloud first deployment, this update helps IT, security, HR, and operations leaders act faster, with more confidence and less friction.

How to Detect Shadow AI

In 2026, the gap between AI adoption and AI oversight has become a primary boardroom concern. While generative AI has supercharged productivity, it has also introduced Shadow AI: the unmanaged, invisible use of unauthorized AI apps and autonomous agents that operate outside the view of traditional IT security. In this guide, you’ll learn why Shadow AI is exponentially harder to detect than Shadow IT and, more importantly, how to build a modern detection framework. We’ll explore.

What Insider Threat Monitoring Reveals About Hidden Organizational Risk

Security teams that deploy insider threat monitoring for the first time rarely catch what they went looking for. They wanted a bad actor. What they found was a ground-truth map of how their organization actually handles sensitive data, and in most cases, that map looked nothing like the policies on paper. That gap, between documented security controls and real-world data behavior, is precisely what insider threat monitoring exposes.

The Top 12 Compliance Tools for Unapproved AI Use

Compliance teams have control over approved corporate systems like enterprise software, managed databases, and internal applications. But they don’t have the same over what employees paste into ChatGPT, upload to Claude, or share with Gemini and other unauthorized AI tools. As such, when auditors review AI usage controls, most organizations discover they can’t prove that employees aren’t exposing regulated data through external AI services.

Three AI Blind Spots Your Security Team Can't Afford to Miss

AI governance is not a policy problem. It’s a visibility problem. Most enterprises are approaching it from the outside in: writing acceptable use policies, issuing guidelines, and hoping employees comply. That approach fails because it operates on assumption rather than evidence. You cannot enforce what you cannot see and most organizations have no reliable way to see what AI tools are actually running inside their environment.

Shadow AI: The Silent Breach Already Inside Your Network

You locked down USB ports. You deployed web filtering. You trained your users on phishing. Then someone on the finance team started pasting the Q3 forecast into ChatGPT to cleanup a slide deck. That’s Shadow AI. It doesn’t need to crack your perimeter. It walks through the front door wearing your employee’s credentials. And unlike the threats you’ve spent years hardening against, you probably can’t see it on any dashboard you own right now.