THE SWORDFISH PLATFORM

SWORDFISH consolidates security related data under a single big data lake enabling real time analytics and supporting decision making. Employing an object-oriented, simple, dynamic, and scalable NoSQL database that provides high performance, high availability, and automatic scaling your security data can be modelled to support your needs for a growing number of use cases.

Security, business and behavioural analytics and risk models can be leveraged to measure efficiency of controls, assess risks and identify emerging and advanced cyber threat pat- terns. Different types of dynamic or multi-layered animated graphs can be created consuming regular or big datasets, without impacting the overall performance of the solution.

SWORDFISH employs an underlying dynamic ontology schema easily harmonizing data and creating linked and contextualized content, enabling deeper meaning, insight, and action. Ontology creation allows for significant time savings on harmonizing, linking, contextualizing, and preparing data and making it easy for users to conduct self-serve discovery, analytics, and data utilizations.

SWORDFISH workflows can also be triggered automatically when a number of conditions are met. These use cases can involve automated machine level execution of actions or trigger other workflow(s) that require human interaction for triage, escalation, remediation or response.