Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

What is shadow AI? And why GenAI usage monitoring matters for MSPs and SMDs

Author: Alexander Ivanyuk, Senior Director, Technology Generative AI is no longer a side experiment inside businesses. It is moving into normal work: writing, summarizing, coding, research, customer support, internal search and repeatable workflows. OpenAI says it now serves more than one million business customers, more than seven million ChatGPT workplace seats, and roughly 8x growth in weekly enterprise messages since November 2024.

What is AI penetration testing?

As organisations continue integrating AI capabilities into customer-facing applications, internal tooling, and operational workflows, the security implications of these systems are becoming increasingly important. Large Language Models (LLMs), AI assistants, and automated decision-making features are now appearing across SaaS platforms, support systems, and enterprise applications, often connected directly to sensitive data and business processes.

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.

AI Agent Security Risks: What Enterprises Need to Know in 2026

AI agents are already inside most enterprise environments. They complete tasks, connect to live systems, and make decisions that used to require a human. Gartner projects that 40% of enterprise applications will include task-specific AI agents by the end of 2026, up from less than 5% today. What was an experiment two years ago is now a core part of how work gets done. If your organization is adopting AI agents or planning to, security is not something you can figure out later.

Fighting AI-Assisted Ransomware Threats

This Anti-Ransomware Day, it's important to recognize the ever-changing landscape of cyber threats and how organizations can fortify their defenses. The evolution from traditional ransomware to cyber extortion over the last few years reflects a professionalized, decentralized ecosystem. To arm your organization against this danger, understanding the current landscape and implementing robust defense strategies is essential.

The End of the Exploit Window: How Frontier AI Is Changing CVE Prioritization

When a new vulnerability is announced, the race begins. Security teams jump into action, checking exposure, triaging events, identifying affected systems, and figuring out how quickly they can patch. The clock is ticking and they know it. At the same moment, threat actors are doing their own version of that work. They’re reading the same advisories, watching the same feeds, and asking a much simpler question: Who is still vulnerable?

Why AI-Only Threat Intelligence Is a Risk Your Organisation Cannot Afford

SaaS-only platforms are betting everything on automation. But when the threat landscape demands judgement, data volume alone is not the answer. For years, a certain category of threat intelligence vendor has sold the same idea: feed your data into our platform, let the AI process it, and your security team will have everything they need. It is a compelling proposition, particularly for organisations under pressure to demonstrate coverage without expanding headcount.

AI governance: a practical guide for enterprise leaders

It's 9:47 AM on a Tuesday. A Slack message from legal lands in the security channel: "Did anyone approve the marketing team's new AI vendor? They're feeding customer data into it." Nobody approved it. The vendor's terms say they can use input data for model training, and the contract was signed three weeks ago. That moment, some version of which plays out at most organizations now, is what makes AI governance an operational priority rather than a compliance exercise.

Optimize Zscaler Secure Internet Access (ZIA) Controls | Demo Video

Zscaler Secure Internet Access (ZIA) provides powerful secure access, inline inspection, decryption, and data loss prevention capabilities. But as your security and IT environments scale, and security controls change, Zscaler ZIA protections can drift away from established baselines, increasing your risk and leaving you open to attack. Reach analyzes your Zscaler ZIA controls to find and fix misconfigured controls, activate unused capabilities, and stop configuration drift. This hardens your defenses and protects you against fast-moving adversaries.