DefenseStorm GRID

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Additional Info

Company (that provides the nominated product / solution / service)DefenseStorm
Websitehttps://www.defensestorm.com/
Company size (employees)100 to 499
Type of solutionSoftware

In 3 bullets, summarize why this product or service is different from the competition and deserves recognition:

• Gives FIs a way to be threat-ready, team-smart and Board-accountable in a matter of weeks and in an affordable way
• First co-managed solution that was built in the cloud, for the cloud and especially for community banks and credit unions
• Adds an additional layer of security, focusing on monitoring and protecting the financial institution's most valuable data and financial assets

Overview

The DefenseStorm GRID is the first co-managed, cloud-based and compliance based platform of its kind. It operates as a technology system and service supported by the DefenseStorm’s team of security experts. The GRID watches everything on a financial institution’s (FI) network and matches it to defined policies for real-time, complete and proactive cybersecurity. This product enhances the FI’s risk management strength by automating tracking controls and reporting that enables proof of security in a single system of record.

FFIEC CAT and ACET are automated and built into the GRID to make compliance easy and achievable for these smaller FIs. In fact, the GRID’s Active Compliance Engine automates tasks, enforces procedures, stores evidence, creates audit trails and controls access to critical documents and data, moving compliance from “manual check-box” to real-time.

In addition, DefenseStorm’s Threat Ready Active Compliance (TRAC) Team augments an FI’s internal team to protect business continuity and ensure the constant availability of cybersecurity expertise. The TRAC Team provides a structured and supported approach to on-boarding with 24/7 network monitoring and immediate notifications to potential threats. It leverages the GRID library to create cybersecurity triggers specific to each financial institution and uses Machine Learning and Rich Context to help reduce the number of alerts and false positives while also increasing relevancy.