Vectra AI Inc. Case Studies Pennine Care NHS counts on Vectra to stop cyberattacks

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	Pennine Care NHS counts on Vectra to stop cyberattacks Vectra AI Inc.

Pennine Care NHS counts on Vectra to stop cyberattacks

Vectra AI Inc.

Technology Category	Analytics & Modeling - Machine Learning Cybersecurity & Privacy - Network Security
Applicable Industries	Healthcare & Hospitals
Applicable Functions	Business Operation
Use Cases	Cybersecurity
Services	System Integration Testing & Certification
Challenge	Pennine Care NHS Foundation Trust, a provider of mental health and learning disability services in parts of Greater Manchester and Derbyshire, was faced with the challenge of protecting its operations from cyber threats. This became a priority after the 2017 WannaCry ransomware attack that disrupted a third of NHS operations. Although no patient data was compromised and the attack was stopped from spreading, all NHS trusts have since stepped up security to identify and stop future cyber threats. ICT security manager Rizwan Majeed was entrusted to protect Pennine Care NHS from cyber threats. He began to evaluate potential solutions, including network detection and response (NDR). Read More
About Customer	Pennine Care NHS Foundation Trust is a healthcare organization based in northern England. Since 2002, it has provided vital mental health and learning disability services in parts of Greater Manchester and Derbyshire. The organization is part of the National Health Service (NHS) trusts, which were victims of the 2017 WannaCry ransomware attack that affected more than 150 countries and disrupted a third of NHS operations. Following this attack, Pennine Care NHS Foundation Trust, like other NHS trusts, has stepped up its security measures to identify and stop future cyber threats. Read More
Solution	After observing how another facility, Bolton NHS Foundation, deployed the Cognito® platform from Vectra® to identify and stop cyberattackers in real time, Majeed decided that this was the optimal NDR solution for Pennine Care NHS. Cognito Detect applies AI-derived machine learning algorithms to automatically detect and respond to in-progress cyberattack behaviors in cloud/SaaS, data center, IoT, and enterprise networks. The platform prioritizes attack behaviors that pose the greatest risk with the highest degree of certainty, enabling Majeed to immediately determine where to start remediation, hunting, and investigating. To further reduce time and resources, Cognito Detect rolls-up multiple alerts into a single incident or attack campaign for investigation. AI-based machine learning automatically ties related threats into one chain of connected events. AI-driven Cognito Recall is a cloud-hosted investigative workbench that uses security-enriched metadata for more productive threat hunting and conclusive incident investigations. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Cybersecurity & Privacy - Network Security

Applicable Industries

Healthcare & Hospitals

Applicable Functions

Business Operation

Use Cases

Cybersecurity

Services

System Integration

Testing & Certification

Challenge

Pennine Care NHS Foundation Trust, a provider of mental health and learning disability services in parts of Greater Manchester and Derbyshire, was faced with the challenge of protecting its operations from cyber threats. This became a priority after the 2017 WannaCry ransomware attack that disrupted a third of NHS operations. Although no patient data was compromised and the attack was stopped from spreading, all NHS trusts have since stepped up security to identify and stop future cyber threats. ICT security manager Rizwan Majeed was entrusted to protect Pennine Care NHS from cyber threats. He began to evaluate potential solutions, including network detection and response (NDR).

About Customer

Pennine Care NHS Foundation Trust is a healthcare organization based in northern England. Since 2002, it has provided vital mental health and learning disability services in parts of Greater Manchester and Derbyshire. The organization is part of the National Health Service (NHS) trusts, which were victims of the 2017 WannaCry ransomware attack that affected more than 150 countries and disrupted a third of NHS operations. Following this attack, Pennine Care NHS Foundation Trust, like other NHS trusts, has stepped up its security measures to identify and stop future cyber threats.

Solution

After observing how another facility, Bolton NHS Foundation, deployed the Cognito® platform from Vectra® to identify and stop cyberattackers in real time, Majeed decided that this was the optimal NDR solution for Pennine Care NHS. Cognito Detect applies AI-derived machine learning algorithms to automatically detect and respond to in-progress cyberattack behaviors in cloud/SaaS, data center, IoT, and enterprise networks. The platform prioritizes attack behaviors that pose the greatest risk with the highest degree of certainty, enabling Majeed to immediately determine where to start remediation, hunting, and investigating. To further reduce time and resources, Cognito Detect rolls-up multiple alerts into a single incident or attack campaign for investigation. AI-based machine learning automatically ties related threats into one chain of connected events. AI-driven Cognito Recall is a cloud-hosted investigative workbench that uses security-enriched metadata for more productive threat hunting and conclusive incident investigations.

Impact #1	Automated detection and response, giving more time to investigate and hunt for threats
Impact #2	Collection and storage of historical metadata to protect data privacy and support GDPR
Impact #3	Information needed to reveal attacker’s behavior is one click away

Impact #1

Automated detection and response, giving more time to investigate and hunt for threats

Impact #2

Collection and storage of historical metadata to protect data privacy and support GDPR

Impact #3

Information needed to reveal attacker’s behavior is one click away

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Overview

Pennine Care NHS counts on Vectra to stop cyberattacks

Operational Impact