DZ BANK enables protection without prying using AI-powered cyberattack detection
Company Size
1,000+
Region
- America
- Asia
- Europe
Country
- Germany
- United States
Product
- Cognito® cyberattack-detection and threat-hunting platform
- Vectra Threat Certainty Index™
Tech Stack
- AI-driven network traffic analysis
- Data science
- Machine learning
- Behavioral analytics
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Customer Satisfaction
- Digital Expertise
- Productivity Improvements
Technology Category
- Analytics & Modeling - Machine Learning
- Analytics & Modeling - Real Time Analytics
- Cybersecurity & Privacy - Network Security
Applicable Industries
- Finance & Insurance
Applicable Functions
- Business Operation
- Human Resources
Use Cases
- Cybersecurity
- Fraud Detection
- Intrusion Detection Systems
Services
- Cybersecurity Services
- Data Science Services
About The Customer
DZ BANK is the second largest bank by asset size in Germany, with €506 billion in assets in 2017. It serves as the central institution for more than 900 cooperative banks in Germany. These cooperative banks serve Germany’s many small and medium size businesses. As their central credit institution, DZ BANK strengthens their businesses and provides access to capital markets. It offers retail, corporate and institutional banking services. The bank employs 30,000 people across Europe, Asia and the United States. The bank's mission is to protect its assets, operations and sensitive information, which is complicated by a broad range of data privacy and financial regulations.
The Challenge
DZ BANK, the second largest bank in Germany, was facing challenges in detecting advanced threats that were missed by traditional signature-based firewalls, IDS and IPS. The bank was looking for a solution that could distinguish between benign anomalous behaviors and high-risk attacker behaviors. The bank's mission to protect its assets, operations and sensitive information was complicated by a broad range of data privacy and financial regulations. Many types of surveillance and electronic monitoring of employees and communications are prohibited in Germany. In addition, both the European Union General Data Protection Requirement (GDPR) and Germany’s Second Markets in Financial Instruments Directive (MiFID II) became law in 2018.
The Solution
To address these challenges, DZ BANK chose the AI-driven Cognito® cyberattack-detection and threat-hunting platform from Vectra®. Cognito enables DZ BANK to detect threats in real time, automatically triage alerts and respond quickly to hidden attackers in data center workloads and user and IoT devices. The platform uses a blend of human expertise, data science, machine learning techniques and behavioral analytics to automate manual, time-consuming threat hunting and response. Cognito condenses days and weeks of threat hunting into minutes, which reduces the security operations workload by 36X. The platform also automatically triages alerts with threat and certainty scores that are displayed on the intuitive Vectra Threat Certainty Index™. As a result, DZ BANK instantly knows which host devices with attack indicators pose the biggest risk with the highest degree of confidence.
Operational Impact
Quantitative Benefit
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