Written by : Jayati Dubey
March 27, 2025
The cyberattack disrupted critical NHS services, including NHS 111, and left healthcare staff unable to access essential patient records.
The Advanced Computer Software Group, an IT provider for the NHS and other health services, has been fined £3 million by the Information Commissioner's Office (ICO) for security failures that led to a major ransomware attack.
The data breach, which occurred in August 2022, compromised the sensitive information of 79,404 individuals, including medical records and patient contact details.
Hackers also accessed details of how to enter the homes of 890 patients receiving home care, raising serious safety concerns.
The cyberattack disrupted critical NHS services, including NHS 111, and left healthcare staff unable to access essential patient records. Software used for patient check-ins was also affected, impacting hospital and clinic operations.
The ICO investigation found that hackers gained entry through a customer account that lacked multi-factor authentication.
While Advanced had implemented security measures across many of its systems, gaps in coverage left vulnerabilities that were exploited.
John Edwards, the UK Information Commissioner, criticized Advanced for failing to meet expected security standards when handling large volumes of sensitive patient data.
"There is no excuse for leaving any part of your system vulnerable," Edwards stated, emphasizing that the fine serves as a stark reminder for organizations to maintain robust security protocols.
Initially, the ICO proposed a £6 million fine for the breach. However, the penalty was halved to £3 million, citing Advanced's cooperation with law enforcement, cybersecurity agencies, and the NHS in mitigating the attack's impact.
The ICO had previously criticized Advanced in 2023, stating that the breach placed additional strain on an already pressured healthcare sector.
This incident highlights the urgent need for stronger cybersecurity measures in healthcare IT systems to protect sensitive patient data from future threats.
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