THREATNEXUS GRAPH TECHNOLOGY AND CYBER ONTOLOGY

Siemplify analyzes and maps every event reported by the different security systems across an organization into a graph. Security experts are able to analyze threats and suspicious activities in real-time while enabling rapid and accurate decision-making. Advanced machine learning algorithms run on the graph and provide insights to the security team.

Siemplify combines security data derived from disparate security systems and organization silos into one domain-based language, meaningfully defined entities and relationships.

Siemplify uses cutting edge big data technologies to provide a robust and scalable answer to data intensive challenges. Our architecture is flexible and scalable, allowing us to support any number of data sources.

Siemplify is able to determine which events are unimportant and repetitive, and which are unusual enough to warrant attention. During a security investigation, Siemplify will prioritize irregular actions, place them in context, and provide analysts with an intuitive storyline that highlights relevant and important data.

Siemplify uses a proprietary contextual clustering algorithm to correlate different incidents and place them all in one storyline. The algorithm groups events that have been logged in different systems – under different names – and draws correlations between individual alerts.

Siemplify is data-source agnostic and works with all SIEM and log management tools. With our API, businesses can quickly and easily integrate the Siemplify platform into their existing environments.