As professionals in the field of security, we have keenly observed the common challenges faced by our valued customers. One crucial aspect of security is insider threat analytics, which involves investigating and identifying activities occurring within the perimeters of a company’s network, detecting patterns and establishing safeguard against potential vulnerabilities. Esteemed framework such as MITRE and NIST provide invaluable references for rules that are widely adopted in the industry.
However, one of the key hurdle faced by companies is how to effectively deploy these rules into practical implementation. It is imperative that the system be robust, user-friendly, and flexible in processing and analysing large volumes of data, often amounting to terabytes of new data on daily basis. The complexity of this challenge lies in the realm of data engineering. At Avalanchio, our mission is to address this data engineering problem so that our esteemed customers can achieve their objectives and meet compliance.
A complete solution to collect, process, and analyze security data
The Avalanchio platform gives you a complete solution to collect, process, and analyze security data to detect threats in real-time and analyze historical data using security DSL (domain-specific language) or SQL. You can deploy Avalanchio on the cloud or at your data center. Send data to the secure platform over HTTPS using Avananchio agent or SDK and take advantage of the easy-to-use UI to analyze your data and set up rules that would trigger in real-time when data comes onboard. Leverage existing parsers for various well-known formats, rule set out of the box, or create your data models, parsing logic, and rule set to fit your specific security analytics needs. Rules can be simple conditional statements based on the event data or create behavioral rules that examine historical trends of the particular variable associated with an entity or identity.
Why Choose Us
Fast Data and Big Data
Globally the data volume is doubling every 8 monts. Enterprises are producing hundreds of terabytes’s of data each data that they like analyze in real time.
Simplicity and Intelligent Defaults
Keep the product intuitive and simple to use, but keep the details so that when it is needed, user can dig them out. This include easy deployment and patching. Provide awesome out of box experience.
Customer’s data must be stored and transmitted in securely supported by role based access control, encryption, masking and audits.
Iterate, Iterate, Iterate
Development features, test, ship it to customer and repeat. Self learning ability is a feature. Take into account every possible implicit and explicit user actions and build upon self-learning abilities.