Vectra AI Inc. Case Studies DZ BANK enables protection without prying using AI-powered cyberattack detection

Edit This Case Study Record

	DZ BANK enables protection without prying using AI-powered cyberattack detection Vectra AI Inc.

DZ BANK enables protection without prying using AI-powered cyberattack detection

Vectra AI Inc.

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
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

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

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.

About 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.

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.

Impact #1	Detect hidden attackers in data centers and user and IoT devices while complying with strict data privacy laws.
Impact #2	Mitigate the risk of insider threats and IT administrator policy violations.
Impact #3	Reduce the security operations workload with AI-driven threat detection and faster incident response.

Impact #1

Detect hidden attackers in data centers and user and IoT devices while complying with strict data privacy laws.

Impact #2

Mitigate the risk of insider threats and IT administrator policy violations.

Impact #3

Reduce the security operations workload with AI-driven threat detection and faster incident response.

Benefit #1	Reduced the security operations workload by 36X.
Benefit #2	Condensed days and weeks of threat hunting into minutes.

Benefit #1

Reduced the security operations workload by 36X.

Benefit #2

Condensed days and weeks of threat hunting into minutes.

Download PDF Version

Overview

DZ BANK enables protection without prying using AI-powered cyberattack detection

Operational Impact

Quantitative Benefit