Digital Reasoning Synthesis
Threat intelligence, powered by Synthesys
Synthesys uses machine learning and natural language processing to navigate and analyze any and all types of data, including unstructured human communications data and inputs from multiple legacy solutions. Capable of learning from context and seeing hidden connections, it reveals vital details about the nature of threats with unprecedented precision. Able to handle data at any scale, Synthesys allows more data channels to be analyzed simultaneously to deliver a truly holistic picture.
Cognitive Computing is transforming the fight against financial crime
Synthesys turns conventional processes around. Rather than analyzing transactions for suspicious activity and then following up with a time-consuming investigation, Synthesys helps analysts act proactively by identifying any and all customers that pose a threat.
Synthesys equips compliance organizations with capabilities more common to government intelligence. The platform uses natural language processing and machine learning to bring a human-like acuity to automated searches. It gathers and authenticates insights by semantically and holistically analyzing huge volumes of internal and of publicly-available information.
How Synthesys® finds insider threats
Unlike the inflexible rules-based methodologies of conventional solutions, Synthesys uses natural language processing and machine learning to bring a human-like acuity to automated searches. It accumulates and authenticates insights by semantically analyzing the data that best captures hidden intent – human communications. Combined with structured data in a holistic analysis, Synthesys delivers entity-centric insights that build a knowledge graph that continually grows in depth and precision. Always alert, Synthesys is able to develop a robust view of what is normal behavior, and uses machine learning to trigger alerts based on a higher fidelity understanding of outliers. This intelligent approach adjusts to innocuous changes in activity, such as approved travel plans, to dramatically reduce false positives. Adopting a cognitive approach to insider threat detection amplifies the scale and effectiveness of existing programs without additional hiring and its associated expense.
Lower Business Risk
About Digital Reasoning
Digital Reasoning was founded in 2000 by Tim Estes, a Knoxville-born philosophy senior at the University of Virginia. It is headquartered in Franklin, Tennessee, with offices in Washington, D.C., New York City and London. As of August 2015, its Franklin headquarters had 100 employees, 30 of whom had top secret clearance.