Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI governance is a key enterprise concern. Organizations are assembling councils, publishing principles, rolling out “approved AI tools” lists, and asking employees to opt in to acceptable use policies. In most enterprises, however, the reality is that AI is already widely embedded in employees' daily work, often outside sanctioned channels and oversight. The visibility and control mechanisms needed to govern AI use are immature or nonexistent.

Someone asks for a project proposal from six months ago. You remember the client. You remember the meeting. The only thing you don't remember is where the document lives. That's a familiar situation for many teams. A Microsoft Copilot SharePoint Integration for Drupal gives users a quicker way to access SharePoint content from Drupal. They can find information, review documents, and complete common tasks without leaving the platform.

Drupal is one of the most widely adopted enterprise Content Management Systems (CMS), powering government portals, healthcare platforms, educational institutions, financial services, and large corporate websites. Drupal can be managed through its web based administrative interface (GUI), which is the standard way to configure and administer sites. It has improved immensely when it comes to UI / UX aspects of the admin section - largely to improve and ease user adoption.

According to the Baymard Institute, 22% of US consumers abandon an online purchase specifically because of an overly complicated registration and checkout process. While you may believe this to be a pricing issue, it’s usually a login problem. Your customer login experience dictates your conversion rate right at the finish line. Why risk it for something you can control? This is where customer identity management becomes critical.

Cyber risk assessed on a red-yellow-green heatmap will never survive a serious CFO conversation. Boards and finance leaders make decisions in dollars, using probability distributions and expected-value calculations. When cybersecurity walks in with a qualitative rating and a request for more budget, it is speaking a different language than the room. A modern cyber risk register built on quantified exposure fixes that at the source.

Tracking AI use across business units requires a purpose-built approach that combines endpoint monitoring, browser-level telemetry, network security tools, and a centralized AI governance platform. Most organizations rely on some combination of IT asset management, SaaS monitoring, and manual surveys to understand what AI tools employees are using.

How OT teams can run safe, OEM-validated patch management on operating systems Microsoft no longer supports. For plant security leads, OT engineers and industrial CISOs. Industrial patch management is the practice of identifying, validating and applying security patches to PC-based assets in industrial environments: HMI workstations, SCADA servers, engineering workstations and historians.

An analyst pulls up the DLP console expecting to see alerts on the source code, customer records, and financial data employees paste into ChatGPT, Copilot, and a dozen other AI tools every day. Instead, the console is quiet, because the policies enacted by the legacy DLP system were built to catch file transfers and email attachments. But, none of the above traffic looks like a file transfer.