XIOGUARD’S INCIDENTS AVOID ALERT FATIGUE
- Automatically groups related alerts into incidents that show the progression of an attack – reducing the investigation effort from the number of alerts to the number of incidents, orders of magnitude reduction.
- Automatically combines related alerts into incidents with high fidelity – reducing the noise from the false positive of individual alerts – an order of magnitude improvement in accuracy.
- Automatically prioritizes incidents to clearly identify the most serious attacks – shows analysts exactly where and how to respond.
- Leverages telemetry from existing security tools as well as its own sensors – preserves existing security investment and provides 360-degree visibility by filling in the gaps.
- Feeds the AI engine with normalized and enriched quality data to initiate instant and effective responses – AI works better when it has the right data to work from.
XIOGUARD LEVERAGES STATE-OF-THE-ART MACHINE LEARNING TO PRODUCE ALERTS, THEN TO HELP RANK AND GROUP ALERTS INTO INCIDENTS
By using incidents as the tool for analysis, security teams more quickly find and act on an attack.
Alerts have limited context
Rank alerts by risk to look for context
Group alerts into incidents to see attacks fast
XIOGUARD’S INCIDENTS REVEAL INTRUSIONS BY PRESENTING THE ATTACK AND WHAT ALERTS REPRESENT IT
This problem space reduction leads to better, faster results – a breakthrough for defenders.
