Inside Risk Management Insights
Inside Risk Management (IRM/DLP)

Comprehensive Insight into Insider Risks

Mimecast protects your communications, data, and employees from modern cyber threats through a centralized, intelligent, cloud-based approach. The platform detects risks early on and combines powerful email security with a clear focus on the human factor. With Mimecast Incydr, you also maintain control over your sensitive data at all times: data movements become transparent, insider risks are made visible, and critical activities can be addressed immediately.

  • Transparency regarding user activity
  • Early Detection of Insider Threats
  • Context-based protection without system overload

Staying One Step Ahead of Data Leaks

In modern businesses, data is constantly moving across cloud platforms, a wide variety of endpoints, and external tools. It’s not always clear which user sent which data where and when—or just how risky that is.By combining our experience, technology, and consulting expertise, Goserver helps you identify insider risks early on and effectively protect sensitive data. From analysis to implementation, we stand by your side as a reliable partner. With Mimecast Incydr, we rely on a cloud-based solution that contextualizes file activity on endpoints as well as in cloud and email services, and detects data leaks via typical vectors such as browser uploads, cloud sync, file sharing, Git, or USB.

Inside Risk Management
Shadow AI

Make Shadow AI visible

AI tools like ChatGPT and Copilot have now become deeply integrated into everyday business operations to optimize workflows, analyze information more efficiently, and boost productivity. However, not all of them offer adequate security. When AI tools are used without proper oversight, a practice known as “shadow AI”, sensitive data can inadvertently end up in other systems. In such cases, it can be difficult or even impossible to trace the source. This is where Incydr comes in: It detects uploads to external applications, analyzes the context, and then assesses the risk.
Three dimensions are taken into account:
• Who is moving the data?
• What kind of data is it? Is it valuable to the company?
• When, where and how was the data moved?
Based on this information, alerts or automated responses can be triggered.

From Data Collection to Intelligent Risk Detection

Traditional DLP and security solutions are rule-based, difficult to configure, and generate a large number of false positives. At the same time, they lack the context needed to actually detect critical incidents.
Mimecast Incydr was specifically designed to identify and effectively mitigate insider risks. Instead of relying solely on rigid rules, the platform uses AI to continuously analyze user behavior and the context of data movements.
Incydr focuses on relevant risks and automatically filters out non-critical activities. Through clearly structured dashboards, security teams receive clear and prioritized insights instead of a confusing flood of alerts.

Risk Detection
Use Cases

“What could go wrong?”

Employee leaves the company

Shortly before employees leave, data leak risks increase significantly. Incydr detects unusual activity, such as mass downloads, early.

Use of cloud and AI tools

External services are an integral part of our daily work. Incydr provides transparency regarding data transfers to external tools.

Access to sensitive data

Not every access attempt is legitimate or necessary. Incydr identifies unusual access patterns and highlights potential risks.