Strengthen your network with NetFlow Analyzer

A network is only as secure as its most vulnerable point. It doesn’t matter how many issues you’ve fixed, one overlooked gap is enough to compromise the entire environment. The volume of events you need to track depends on how capable your network behavior analytics system is and how severe the threats are within your network. Monitoring every event can quickly become overwhelming, especially when false positives add to the noise. Yet with high-impact risks, even minor suspicious movement demands attention. The best approach is to minimize false positives and pick a security analytics tool like NetFlow Analyzer that presents insights in a format that’s easy to interpret. Clear classification and organized reporting make it far simpler to focus on what truly matters.

The event details gives you a complete, real-time view of all anomalies detected by the Security Analytics engine in NetFlow Analyzer. Each entry in the Event List represents a security-relevant anomaly, along with contextual details such as involved assets, traffic characteristics, and the MITRE ATT&CK TTPs associated with the behavior.

How NetFlow Analyzer's Security Analytics works

Security Analytics analyzes NetFlow traffic using a flow-based rule engine combined with machine learning to build behavioral baselines for every host. Instead of relying on fixed thresholds, the system learns normal communication patterns using asset identities tied to hostname and MAC via DHCP and continuously adapts, enabling it to spot anomalies more accurately as your network evolves.

Understanding events in Security Analytics

Whenever the engine detects traffic that violates behavioral baselines or the defined set of detection rules, it generates an Event. Events help you quickly pinpoint unusual communication patterns, ranging from reconnaissance and suspicious scanning to possible data exfiltration or lateral movement. Each event includes,

• Offenders: The source hostname, or IP that triggered or initiated the event.
• Victims: The targets affected or potentially affected by the anomalous activity.
• Returned value: The actual value or behavior observed during detection.
• Expected value: The baseline or normal value that the system anticipated.
• First seen: The earliest timestamp when this event type or pattern was detected.
• Last seen: The most recent occurrence of the event.
• Reported time: The exact time at which the event was logged and displayed.
• Event source: The source hostname, or IP that triggered or initiated the event.
• MITRE tactic: The adversarial objective or behavior category aligned with the MITRE ATT&CK framework.
• Event type: The category the event falls into, such as signature detection.
• Event severity: The criticality level indicating how urgently the event needs attention.
• Possible reasons: Underlying factors that may have resulted in the event being triggered.
• Suggestions: Recommended actions to investigate, validate, or resolve the issue.
• Score: A calculated risk score that reflects how severe or unusual the behavior is.

With the Security tab in NetFlow Analyzer, you get a unified view of all detected threats in your network. You can filter events by time range, MITRE tactic group, or asset to narrow down what matters most. Events can be sorted based on event count, reported time, detection name, or in ascending or descending order. You can also sort events by their first and last seen timestamps for deeper investigation. All event data can be exported as a CSV for offline analysis or reporting. 

Why Security Analytics makes your network stronger

By learning normal behavior and highlighting real anomalies, Security Analytics strengthens your overall security posture.
Some of the benefits include,

1. Early detection: Identify advanced threats, zero-day anomalies, and insider risks without relying on signatures.
2. Adaptive learning: Reduce false positives with thresholds that evolve as your network changes.
3. Deep context: View who (asset), what (flow behavior), and why (MITRE tactic) at a glance.
4. Asset accuracy: Track devices persistently using hostnames / MACs, even when their IP changes.
5. Actionable intelligence: Export events, perform forensics, and integrate with your security workflows.