Detect Suspicious Traffic, Malware, and Lateral Movement — Before They Escalate
Attackers don’t announce themselves — they blend into normal traffic, move laterally between systems, and exfiltrate data slowly to avoid detection. Network-based threat detection with ntopng surfaces the behavioral signals that reveal an attack in progress, even when it’s hiding behind encryption or unfamiliar ports.
The Problem: Threats Hide in Plain Sight
Traditional perimeter security misses threats that are already inside the network. Common gaps include:
- Encrypted traffic that firewalls can’t inspect, but attackers increasingly use to hide command-and-control communication.
- Lateral movement between internal hosts that never crosses a monitored perimeter.
- No behavioral baseline, so anomalous activity blends in with normal traffic.
- Volumetric DDoS attacks that overwhelm services before upstream mitigation kicks in.
The Solution: Behavioral Detection with ntopng, nDPI, and nScrub
- Application-layer classification (nDPI) — deep packet inspection identifies what’s actually running on your network, including inside encrypted sessions, using behavioral and metadata analysis instead of relying on ports or signatures alone.
- Anomaly and behavioral alerts — ntopng builds a baseline of normal host and application behavior, then flags deviations: new hosts, unusual destinations, unexpected data volumes, or off-hours activity.
- Enriched flow export for correlation — export enriched, metadata-rich flow data to your IDS/IPS, SIEM, or SOC tooling for deeper correlation and investigation.
- On-premise DDoS mitigation (nScrub) — detect and block volumetric DDoS attacks at the edge in real time, keeping services available without relying solely on upstream providers.
Real Use Cases
Catching lateral movement
A compromised workstation begins probing internal servers it’s never contacted before. ntopng’s behavioral baseline flags the new internal connections, alerting the security team before the attacker reaches critical systems.
Detecting data exfiltration
An internal host begins sending unusually large volumes of data to an external destination over an extended period. Traffic volume anomalies and destination analysis surface the activity that signature-based tools missed.
Identifying malware communication in encrypted traffic
nDPI’s metadata extraction — including TLS certificate details — flags a host communicating with a known-bad or newly registered domain, even though the payload itself is encrypted.
Mitigating a volumetric DDoS attack
An ISP or large enterprise faces a sudden traffic surge targeting a public-facing service. nScrub identifies and filters the attack traffic on-premise, keeping legitimate traffic flowing without waiting on upstream scrubbing.
Supporting incident response and forensics
After a suspected breach, historical flow and traffic data reconstructs exactly what the compromised host did, when, and who else it communicated with, critical for containment and reporting.
Why Teams Use ntopng for Network Security
- Sees past encryption — nDPI identifies applications and threats using behavior and metadata, not just clear-text payloads.
- Detects what perimeter security misses — internal, lateral, and slow-moving threats are visible in traffic behavior.
- Integrates with existing security stacks — enriched flow export feeds IDS/IPS and SIEM tools you already use.
- Stops DDoS at the source — nScrub mitigates volumetric attacks on-premise, in real time.