Cisco Secure Network Analytics Stealthwatch Boosts Threat Detection by 50% for Woodforest Financial Group, Inc.

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Cisco Stealthwatch Case Study

Stealthwatch Boosts Threat Detection by 50% for Woodforest Financial Group, Inc.

Introduction

This case study of Woodforest Financial Group, Inc. is based on an August 2019 survey of Cisco Stealthwatch customers by TechValidate, a 3rd-party research service.

“Stealthwatch has increased our ability to detect threats. Since deploying it we have seen a 50% increase in early threat detection. Stealthwatch, when integrated with ISE, provides a method for automatically quarantining detected threats.

Challenges

The business challenges that led Woodforest Financial Group, Inc. to evaluate and ultimately select Cisco Stealthwatch:

A lack of visibility into a complex network with branches, IoT devices, remote employees and guests, cloud infrastructure, etc.
A lack of a threat investigation and forensic analysis tool
Protection of sensitive data
Detection of insider threats
Real-time malware detection

Major security concerns related to cloud infrastructure are:

Unauthorized access
Data loss
Insider threats – as a result of stolen credentials or malicious employee

Use Case

Woodforest Financial Group, Inc. chose Stealthwatch for its:

Comprehensive visibility
Advanced security analytics using machine learning and entity modeling
Integration with other Cisco products and technologies

Results

Utilizing Stealthwatch, Foodforest Financial Group, Inc was able to:

Detect and prioritize advanced malicious attacks and insider threats in real-time
Investigate the source of the threat through network audit trails
Mitigate threats using the existing network infrastructure
Enhance value provided by other Cisco devices

TechValidate Research on Cisco Secure Network Analytics

Stealthwatch Boosts Threat Detection by 50% for Woodforest Financial Group, Inc.

Introduction

Challenges

Use Case

Results

Company Profile

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