Fortinet AI Threat Analytics uses machine learning algorithms to identify attack patterns across your entire application attack surface and aggregate them into comprehensible security incidents. The solution separates significant threats from informational alerts and false positives by identifying patterns and assigning a severity to help your security team focus on the threats that matter.
Investigating security alerts requires context and the ability to connect the dots across multiple events over time. Fortinet AI Threat Analytics removes the complexity that comes from manually evaluating alerts by evaluating thousands of alerts and grouping those alerts into incidents based on the patterns identified. With this streamlined view, SOC analysts can focus their efforts on the important threats.
Threat Analytics Insights and Incident Enrichment
Threat Analytics continuously assesses your security posture by monitoring attacks on your web assets together with evaluating your WAF configuration. Attack data is cross referenced across the entire customer base to correlate suspicious and anomalous traffic and alert customers when susceptible to attacks based on their configuration. Threat Analytics Insights provides recommended actions that can enhance your WAF configuration settings, block future attacks and reduce false positives.
Unified view of threats
Threat Analytics aggregates events across the entire enterprise allowing analysts to identify enterprise wide attack campaigns that span multiple locations and web assets.
