Anomaly Detection

What is Anomaly Detection?

Anomaly Detection is the practice of identifying behavior that deviates from a known baseline — such as:

Unlike signature-based tools (which detect known threats), anomaly detection focuses on spotting the unknown, making it effective for:

Why It Matters

Anomaly detection provides:

Early detection of suspicious activity — even before an attack fully develops
Faster response times through real-time alerts
Coverage for unknown or emerging threats
Support for compliance frameworks that require proactive monitoring (e.g. ISO 27001 A.5.7, DORA Article 9)

It’s especially valuable when combined with log analysis and intrusion detection systems.

Aginion integrates lightweight anomaly detection tools into your infrastructure or cloud environment — tuned to your specific risk profile.

Anomaly Detection Area	How Aginion Supports You
User Behavior Analytics (UBA)	We detect logins outside business hours, new device access, or privilege escalation.
Network Activity Baselines	Monitor and compare bandwidth, destination IPs, and traffic types to baseline activity.
Server Metrics Monitoring	Alert on unusual CPU, memory, or disk behavior that could indicate compromise.
AI-Enhanced Alerts	Optional integrations with LLM-assisted platforms or ML-based anomaly scoring (via Private AI).
False Positive Tuning	We work with you to tune rules to reduce alert fatigue.
SIEM Integration	Our anomaly signals can be exported into your SIEM or log analysis environment.

We don’t just detect oddities — we contextualize them and support your response workflows.