SENTIENT Case Study

Largest financial services company in South Africa uses ML to detect and prevent cyber threats in real-time

Customer

Largest financial services company in South Africa
with insurance, investment, and healthcare solutions

Industry

Financial Services

Function

Cybersecurity

Problem

The company has large volumes of sensitive, confidential customer data stored over a geographically diverse, hybrid network infrastructure. The financial services industry is the key target industry for cyber attacks with a constantly evolving and sophisticated threat landscape. The company’s traditional defenses keep some malicious threats out, but are ineffective in the face of new types of external attacks as well as any kind of inside threats. The company also wants to move parts of its infrastructure to the cloud to cut costs, but has no way to deal with new security challenges that moving to the cloud presents.

Solution

The company decides to adopt an ML-based cyber security framework that not only detects but also autonomously responds to cyber threats in real-time. The software installs on the entire network infrastructure of the company and learns from normal usage pattern of every user and every device within the system. As the software is constantly learning what constitutes a “normal pattern of use”, it immediately flags any deviations from the norm, isolates it by shutting down the system/user and prevents the malicious behavior from accessing/affecting any of its environment. The self-learning system only gets better with time and can be deployed on the cloud infrastructure too.

Result

The company gets a unified, single-screen window into the cyber security framework of the entire infrastructure. Any potential threats are automatically ring-fenced, giving 100% real time security.

More Use Cases

For the Finance Industry

Customer Churn

Bank Improves Increases Customer Retention with Upgraded AI Model

Loan Approval

Financial Solutions Provider Cuts Losses and Improves Approval Rates

Fraud Detection

Application of ML in preventing credit card fraud detection

2263, KAUST Tech Park Headquarters, 

4700 KAUST, Thuwal, Saudi Arabia 22935

Contact

Call : +966 54 312 3734

Email : info@unitx.tech

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