In our final entry into our series, AI and its Impact on Cybersecurity, we will explore how DefenseStorm utilizes AI in our own built-for-banking technology.
In Part 2 of AI and its Impact on Cybersecurity, we explored the need to balance technological integration and security so financial institutions (FIs) can fully leverage the power of AI without sacrificing security. In our final entry into this series, we will explore how DefenseStorm utilizes AI in our own built-for-banking technology.
DefenseStorm employs a defined approach and strategy when it comes to investment in AI/ML, which follows the following principles.
At DefenseStorm we start with defining the problem and what is required of a solution, and then determine whether an ML model is the right tool to solve the problem. If it is, the next step is to identify and gather the data to build the model, perform exploratory data analysis (EDA), train a prototype model, and then solicit feedback from stakeholders and subject matter experts on the outputs of the prototype model. The team then iteratively refines the prototype based on this feedback. The specifics of validation of model efficacy differ from model to model, but since the process was started by defining the problem and the requirements for the solution, it is straightforward to know what is needed to validate the efficacy of any particular ML model.
It’s important to note that DefenseStorm takes a measured approach to AI/ML with our focus aimed at how AI/ML can improve our productivity – and the those of our customers – along with added security protection – and enhance our product by carefully selecting the problems the technology can solve.
DefenseStorm Approach to AI in products
As a leading provider of cyber risk management solutions for financial institutions, DefenseStorm has been successfully investing and implementing AI/ML in our technology while consistently aligning with our core values and goals.
GRID Active is our cloud-based intelligent data engine and platform that integrates cyber risk software, technology, and capabilities enabled and enhanced through AI.
Benefits of AI:
AI functionality is developed for use across the GRID Active platform and implemented into multiple technology solutions.
Pattern Scout: GRID Active Platform and Threat Surveillance
Incident Similarity: GRID Active Platform and Threat Surveillance
User Behavior Analytics: GRID Active Platform and Fraud Detection
As we look ahead to the future, DefenseStorm remains committed to the continuous improvement and evolution of our platform. We are always exploring new ways to enhance our services and provide our clients with the best possible solutions to meet their cyber risk management needs. Stay tuned for more exciting developments from DefenseStorm as we work to revolutionize the world of cybersecurity.