Protecting Financial Institutions with Self-Learning AI: The Confiar Case Study
Technology Category
- Cybersecurity & Privacy - Intrusion Detection
- Cybersecurity & Privacy - Malware Protection
Applicable Industries
- Equipment & Machinery
- National Security & Defense
Use Cases
- Cybersecurity
- Tamper Detection
Services
- Cybersecurity Services
The Challenge
Confiar, a financial institution, needed a solution that could understand user behavior and protect against fast-moving threats like ransomware. They recognized the importance of having a robust security stack and safeguarding their clients' sensitive data.
The Customer
Confiar
About The Customer
Confiar is a Colombian Financial Cooperative with 54 offices across the country. They have been in operation for nearly 50 years and are known for their leading role in social housing projects.
The Solution
Confiar implemented Darktrace's Self-Learning AI, which analyzes all raw traffic across the organization to develop a sense of 'self' for every user and device. It spots subtle deviations indicative of a cyber-threat and can detect zero-day threats based on weak indicators of attack.
Quantitative Benefit
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