Sqrrl : Linked Data Analysis: A Big Data approach to Cyber Security

“Today, analysts are often found digging through log files, manually jumping from repository to repository to find and assemble the pieces to the puzzle,” remarks Mark Terenzoni, CEO, Sqrrl. A security breach leaves all sensitive and intellectual data of different formats at risk. Terenzoni believes that in several instances, existing cyber security solutions focus solely on alert-oriented data, which are difficult to prioritize because they only provide a limited view as to what’s going on. Sqrrl, a Big Data analytics platform provider, has a unique approach for detecting and investigating cyber security incidents by employing Linked Data Analysis. This allows administrators to quickly identify the important assets, relevant actors and events of an organization, accentuating the natural connections between them and providing contextual perspective. With this added context, it becomes much easier to monitor abnormal activity and assess the damage caused due to the breach.

Sqrrl unifies multiple Big Data approaches into a single platform, which can be employed in use cases such as data breach, resulting from cyber-espionage, insider misuse and other types of complex attacks. Cambridge, MA based Sqrrl’s Big Data Analytics allows an organization to detect unusual activity by uncovering hidden connections in their data. Sqrrl Enterprise, their flagship product, developed using Linked Data Analysis policy, provides a way to visually investigate these connections. Sqrrl Enterprise enables its clients to ingest, secure, connect, and analyze massive amounts of structured and unstructured data. The product features streaming, encrypting, organizing bulk data with the entities and relationships, and fine-grained access controls. The solution also includes a web-based dash boarding service helps navigate through the data and relationships in the system.

Additionally, Sqrrl ensures maximum security through techniques derived from ‘Knowledge Extraction’, and ‘Linked Data Analysis’. Data resulting from Linked Data Analysis is more useful with enriched contextual information, which includes additional details on the information itself as well as what it’s related to. Through its Enterprise approach, the company provides data-centric security to clients, enabling disparate data sources with various security and compliance requirements to be consolidated into a shared platform for processing, analytics, and application development.