Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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

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.

Generative AI DLP: How Does It Work?

As generative AI tools like ChatGPT, Claude, and Gemini become essential to the modern workplace, they bring a new, invisible threat: the risk of sensitive data leaking through every prompt and interaction. Traditional DLP tools are no longer enough to protect proprietary code, PII, and trade secrets from being absorbed into public AI models. This guide explores the mechanics of generative AI DLP (Data Loss Prevention) and how it creates a safety net between your team and the AI apps they use.

[Webinar] How to Detect Privileged Access Misuse Early | Syteca

As identity becomes the new security perimeter, cybersecurity leaders face a growing challenge: privileged misuse often looks like normal administrative activity until real damage has already occurred. Watch this webinar to explore how organizations can move beyond traditional privileged access management and build an effective early detection strategy for privilege-based threats.

[Webinar] How to Detect Privileged Access Misuse Early | Syteca

Privileged accounts are one of the most common attack paths, yet misuse often goes unnoticed until serious damage is done. As identity becomes the new security perimeter, cybersecurity leaders face a growing challenge: privileged misuse often looks like normal administrative activity until real damage has already occurred. Watch this webinar to explore how organizations can move beyond traditional privileged access management and build an effective early detection strategy for privilege-based threats.

Release 875: New Mac Features, Enhanced Monitoring, and Granular Data Mapping

This release delivers heavy-hitting updates to the Mac Agent, extends Windows monitoring into native desktop applications like WhatsApp, and provides administrators with more granular tools to manage data and triage security alerts. Here is a summary of the new features and improvements available in this release.

13 Real-life Insider Threat Examples

While many organizations focus on external threat actors, insider threats are a significant risk that can devastate a business from within. Because these individuals have legitimate access to a company’s systems, their actions — whether motivated by financial gain or caused by human error — often bypass security controls. And the problem is only getting worse. According to the Ponemon Institute, insider attacks increased by 47% from 2023-25.