Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

What is AI Usage Control?

AI usage control is the security and governance framework that enterprises use to monitor, regulate, and secure how employees interact with artificial intelligence tools. As Generative AI becomes deeply embedded in everyday workflows, organizations face a high-stakes balancing act: capturing massive productivity gains while preventing catastrophic data leaks, compliance violations, and intellectual property exposure.

How to Find Out if an Employee Is Moonlighting - Signs & Risks

Moonlighting is more financially compelling than most employers realise. Knowledge workers in the US who freelance alongside a full-time job earned a median $40,000 in supplemental income in 2024 and 36% of full-time knowledge workers are actively considering freelancing on the side, which is precisely what moonlighting looks like in the modern workforce (Upwork Research Institute, 2025).

An HR Leader's Guide to Insider Risk Management

HR teams manage every stage of the employee lifecycle, from hiring and onboarding to performance management and offboarding. Security teams manage data access, behavioral monitoring, and incident response. Insider risk lives at the intersection of both. When HR and security operate independently, the gaps between them are exactly where data loss happens, and the moments of highest exposure are almost always HR events, such as a resignation submitted, a role change processed, a termination decision made.

How State and County Law Enforcement Use AccessPatrol to Meet CJIS and NIST 800-53 Requirements

I spent nearly a decade in the U.S. Federal Government, including roles at the White House, the U.S. Department of Commerce, and the U.S. Senate. I later advised public sector clients on technology and strategic growth problems at Accenture. The same pattern showed up everywhere I went. Agencies invest in sophisticated network defenses.

How to Detect AI-Driven Insider Threats | #Cybersecurity Webinar #AI #InsiderThreat #AIsecurity

AI adoption inside organizations is accelerating and so are the insider risks that come with it. Employees use ChatGPT, Claude, Gemini, local LLMs, and daily to improve productivity. But without visibility, sensitive data can leave organizations unnoticed through browser uploads, desktop AI tools, and autonomous AI workflows. In this webinar, Syteca experts discuss.

The Top 5 File Activity Monitoring Tools in 2026

In 2026, protecting sensitive data requires more than a firewall; it requires total visibility. As insider threats and AI-driven breaches grow more sophisticated, file activity monitoring tools have become essential for tracking how data is accessed, moved, and modified. Maintaining a secure environment now depends on turning every file interaction into actionable intelligence to ensure compliance and prevent data leaks.

The Best Data Loss Prevention Tools for 2026

The best data loss prevention (DLP) tools in 2026 are those that move beyond rigid, rule-based systems to incorporate AI-driven behavioral analytics. Leading solutions like Teramind (best for AI agent governance), Microsoft Purview (best for M365 ecosystems), and Zscaler (best for cloud-native protection) provide the real-time visibility needed to stop data breaches before they occur.

Your Employees Are Waiving Attorney-Client Privilege Without Knowing It

The Musk vs. OpenAI trial has drawn a lot of attention over the past few weeks, but there’s a quieter legal development that matters more to most organizations. In February 2026, a federal judge in New York issued the first ruling in the country to directly answer whether conversations with a consumer AI tool can be protected by attorney-client privilege. The answer was no, and the reasoning behind it has implications that extend well beyond the courtroom where it was decided.

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.

Veriato Demo Video - Behavioral Visibility for Productivity

See how Veriato turns behavioral data into meaningful operational and security insight. This demo focuses on Veriato’s Behavioral Visibility platform and how organizations can monitor activity patterns, detect anomalies, understand sentiment shifts, and proactively address internal risk and workforce challenges. Unlike traditional monitoring tools that focus only on events, Veriato analyzes behavior over time to help organizations identify early warning signs before issues escalate.

Veriato Demo - Microsoft 365 Integration

Discover how Veriato integrates with Microsoft 365 to extend behavioral visibility across your organization. This demo highlights how Veriato connects with Microsoft 365 environments including Exchange, Teams, SharePoint, and OneDrive to provide deeper insight into user behavior, collaboration activity, file movement, and potential insider risk indicators. See how organizations can.

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.