Can you 100% trust your employees?

[Administrator]

While every employer would want to trust their employees, as your business organisation grows, it becomes harder to understand the motivations of that user.

While it is general accepted that employees work to receive a salary, the culture of the best companies, where employees feel valued, can be destroyed by one persons bad judgement.

Your employees are your first line of defence in the world of cybersecurity threats, but a mistake, or bad judgement can cause issues. Some, although rarely, are due to poor financial management resulting in an employee becoming compromised.

No matter the reason for unauthorised network traffic, stopping critical data from leaving your company and identifying dangerous events is a serious consideration.

Network Intrusion Detection System (NIDS) monitors networks for unusual traffic patterns, including suspicious internal user activity, by analysing deviations from established baselines.

How It Works
NIDS deploys at key network points to inspect all passing traffic in real time, comparing it against known threat signatures or behavioural norms to flag anomalies like unauthorized internal data exfiltration or policy violations. Anomaly-based variants use machine learning to detect unusual user behaviors, such as atypical access patterns from inside the network, distinguishing them from normal operations.

Key Distinctions
- Signature-based: Matches traffic to predefined attack patterns, effective for known threats.
- Anomaly-based: Profiles normal internal user traffic (e.g., volume, protocols, destinations) and alerts on deviations, ideal for insider threats or zero-days.

This approach provides visibility into internal threats without blocking traffic, unlike IPS systems.