It contributes significantly to the improvement in the management of correlation platforms, by reducing operational and ingest costs, as well as response times and execution of use cases. Increase threat detection efficiency, facilitate regulatory compliance, and optimize reporting time

Collect logs from various sources (operating systems, applications, databases, network devices, etc.) and unify them in a standard format with the possibility of enriching and optimizing the logs that will be sent to the correlation platform

Using advanced algorithms based on AI models, it identifies relationships between logs and their level of engagement regarding MITRE ATT&CK procedures and databases. Enrichment through integration to Maltiverse IoC sources

It has a mechanism to keep the MITRE ATT&CK mapping database updated, ensuring that the tool is always up to date with the latest threats that are feasible to detect by individual logs

It allows users to visualize in real time the volumes of ingested logs, optimization metrics, cost associated with the savings generated, volume of incoming traffic per source, as well as volume of outgoing traffic, it also has levels of customization according to the needs of the service manager

The Deployment architecture allows for flexible filtering of security events

Use of external sources to improve analysis and the final result

Encryption of data in transit and at rest

Anomaly detection based on data analysis in transit

Centralized data and event management