Security Analytics

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"Forewarned is forearmed.” In today’s threat landscape, cyberattacks are often stealthy, lurking within everyday traffic patterns. The key to defending your network isn’t just reacting quickly, it’s detecting early.

The all-new Security Analytics feature in ManageEngine NetFlow Analyzer brings you a smarter, more intuitive way to monitor and secure your network. By turning raw traffic data into actionable security intelligence, this feature empowers your network to act as its own vigilant sentry. With the integration of flow-based rule engine and machine learning (ML) along with the mapping of MITRE ATT&CK techniques and tactics. It’s now possible to identify advanced threats before they cause damage.

 

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Granular security, deeper context

Security Analytics uses network flow data to detect anomalies, assess risks, and prioritize threats, all without deploying agents. It brings depth and intelligence to traditional monitoring by introducing adaptive behavioral learning, contextual scoring, and industry-standard threat mapping.

One of the most powerful aspects of this feature is its asset-based approach. Instead of treating network devices as changing IP addresses, Security Analytics uses hostnames and MAC addresses retrieved via DHCP to continuously identify and track assets even as their IPs change. This ensures persistent context across all monitored activity.

Each asset undergoes a learning phase where ML models build a behavioral baseline, analyzing usage patterns, and communication flows with the help of the rule engine. Over time, this allows the system to adaptively calibrate thresholds, reducing false positives and surfacing only truly abnormal behavior.

Real-time anomaly detection

Security Analytics doesn’t rely on static thresholds. Instead, it provides context-aware insights to generate meaningful notifications. For example, if an asset that typically has an usage of 100MB of HTTPS application suddenly uses over a gigabyte, the system won’t simply flag it based on numbers. Instead, it considers the severity of deviation and broader network context to assign an event score. This score evolves over time and helps prioritize threats that require immediate attention.

Events are further enhanced with MITRE ATT&CK framework integration, allowing every detected anomaly to be mapped to a known attack technique. This not only gives your team insight into what happened but also why it matters. Event scoring takes into account the number of offenders involved, rule severity, the extent of the anomaly, and how recent the event is, ensuring you focus on active threats and not historical noise.

The new Security tab in NetFlow Analyzer provides a consolidated view of all threat-related activity. You can explore events by time frame, technique group, or asset. Server-side sorting improves visibility, and you can export selected events as CSV for reporting or investigation. Event details include offenders and victims, rule violations, severity scores, MITRE mapping, and even the specific traffic involved, offering complete transparency into each incident.

Spot a silent data drip with Security Analytics

Imagine an organization where a compromised endpoint begins leaking small amounts of sensitive data during off-peak hours. Traditional security tools miss the behavior because it’s too subtle, no signature matches, and nothing trips the firewall. But NetFlow Analyzer's Security Analytics recognizes the deviation from the asset’s typical behavior, maps it to a known tactic under MITRE and generates a high-priority event. The security team intervenes early, preventing a serious breach. This proactive threat detection, powered by your existing flow data, is where Security Analytics stands out.

NetFlow Analyzer's Security Analytics: At a glance

Security Analytics isn’t just about detecting events; it’s about delivering relevant, timely, and actionable intelligence. It enables you to:

  • Detect threats early using flow-based, ML-powered analysis.
  • Understand incidents with complete context of who, what, where, and how.
  • Reduce noise and false positives with adaptive learning.
  • Prioritize real risks with dynamic event scoring and time-weighted severity.
  • Map threats to real-world tactics using the MITRE ATT&CK framework.
  • Track devices accurately using persistent asset identifiers instead of transient IPs.

Experience the future of network threat detection

Now’s the time to put your network security on autopilot with full visibility and zero guesswork. Try out Security Analytics in ManageEngine NetFlow Analyzer and see how intelligent flow-based detection transforms the way you respond to threats.

Step into the next generation of network security

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