Real-time, big data joins critically extend what Elasticsearch can do for your use cases. Developed for the needs of some of the most advanced organizations in the world, Siren Federate is now available to use in your applications too.
Siren real-time, big data joins critically extend what other databases can do for your use cases. Developed for the needs of some of the most advanced organizations in the world, Siren Federate can be used in your applications too.
Employing patented specialized algorithms, Siren Federate is highly optimized for fully distributed operations on top of, for example, an Elasticsearch database, yielding to low-latency, interactive response. This enables innovative end user capabilities likeSiren Investigate relational drill-downs, as well as large real-time correlations for alerting and detection purposes.
Siren Federate is delivered as a plug-in which can be simply added to existing deployments. The plug-in adds a new REST endpoint (/siren) where the extended Elasticsearch syntax API is provided with a new join query operator, thoughtfully integrated with both Search and Scroll APIs. As no change happens to the original APIs, you can leverage the new capabilities by starting to query the new endpoint bit by bit, no big rewriting needed.
National security today is a large-scale data problem. Cyber is now a major battlespace. Traditional intelligence domains of SIGINT, HUMINT are being augmented by OSINT sources. The merging of classified information with open sources of information is now a critical part of the national security landscape.
Much of Law Enforcement is a searching exercise. Looking for useful data when investigating crime with digital forensics, electronic documents, email, complete digital footprints. Tactical investigation or broader Policing Intelligence is such a huge challenge for many Law Enforcement agencies. Often trying to process unrelated data with 30 year old desktop technology is very challenging and it is today a challenge for every Law Enforcement Agency in the world.
Fraud, insider threats and risk are huge issues for corporations globally. Many corporates are struggling with the scale of the fraud, risk and threat dynamic internally. They are standing up teams to act as an internal policing service for these threats. The trend is for cyber threat, fraud, financial crime and internal risk to come under a single operating unit to manage these corporate level risks. These units are now struggling to find a single unified platform to manage all the challenges they have on front of them.
Those tasked with protecting the most sensitive and critical networks are proactive in their threat stance. They have lots of data, internal, vendor data, free open sources. But out of billions of rows of data how do you stay alert to what is relevant and a real and present threat? How do you know what matters? What if you miss something very subtle?