The U.S. government agencies, including the FBI, CISA, and HHS, have issued a warning about the Black Basta ransomware gang, which is actively targeting the healthcare sector along with 12 other critical infrastructure sectors. This gang, responsible for attacking over 500 organizations globally since April 2022, infiltrates networks via phishing and exploits vulnerabilities, delaying ransom demands to complicate response efforts. Black Basta's tactics have severely disrupted operations for healthcare providers, such as the Ascension healthcare system, emphasizing the need for enhanced cybersecurity measures within the industry. The group, potentially linked to or a rebranding of previous Russian-speaking cyber threat entities, has already caused significant financial losses and operational challenges, underlining its threat to critical infrastructure and the importance of vigilance and prepared measures to combat such cyber threats.

After Ascension ransomware attack, feds issue alert on Black Basta group The Record

The Biden administration plans to enforce minimum cybersecurity standards for hospitals following a significant hack at Change Healthcare, affecting 100 million Americans by exposing patient data and disrupting financial operations. This cybersecurity push, led by Anne Neuberger, deputy national security adviser, responds to vulnerabilities highlighted by the hack, including delayed patient care and financial instability for clinics, with the breach potentially slashing UnitedHealth's profits by up to $1.6 billion. Alongside regulatory measures, the administration aims to offer free cybersecurity training to 1,400 small and rural hospitals. This initiative comes as the healthcare sector increasingly falls prey to cyber-attacks, evidenced by a recent cybersecurity incident at Ascension, a leading hospital network. Resistance from industry representatives like the American Hospital Association is anticipated, despite the clear need for improved security measures highlighted by these incidents.

White House Will Require Cyber Standards for Hospitals GovTech

Investigators at Cedars-Sinai's Smidt Heart Institute in Los Angeles developed an artificial intelligence (AI) method that effectively detects atrial fibrillation, a condition characterized by abnormal heart rhythms, from echocardiogram imaging. The deep learning model was trained with over 100,000 echocardiogram videos to distinguish between normal heart rhythms and those indicating atrial fibrillation. Remarkably, this AI can identify patients likely to develop or who have had atrial fibrillation within 90 days, surpassing traditional risk estimation methods. This advancement highlights the potential for AI to play a significant role in early cardiac care, especially for conditions like atrial fibrillation that are challenging to diagnose due to their intermittent nature. The technology promises to improve early detection and treatment, potentially preventing serious cardiovascular events in patients with this often undetected arrhythmia.

Cedars-Sinai research shows deep learning model could improve AFib detection Healthcare IT News

Zscaler addressed rumors of a system breach by confirming that an isolated test environment, unconnected to its main infrastructure or customer data, was exposed online and subsequently taken offline for forensic analysis. The company's ongoing investigation has found no evidence of any compromise to its core customer or production environments. These rumors began circulating after a threat actor named IntelBroker claimed to be selling access to a cybersecurity company's sensitive data. Despite these claims, Zscaler reassures that its primary operational and customer data environments remain secure, indicating no impact from this incident on company or customer data.

Zscaler takes "test environment" offline after rumors of a breach BleepingComputer

The U.S. government agencies, including the FBI, CISA, and HHS, have issued a warning about the Black Basta ransomware gang, which is actively targeting the healthcare sector along with 12 other critical infrastructure sectors. This gang, responsible for attacking over 500 organizations globally since April 2022, infiltrates networks via phishing and exploits vulnerabilities, delaying ransom demands to complicate response efforts. Black Basta's tactics have severely disrupted operations for healthcare providers, such as the Ascension healthcare system, emphasizing the need for enhanced cybersecurity measures within the industry. The group, potentially linked to or a rebranding of previous Russian-speaking cyber threat entities, has already caused significant financial losses and operational challenges, underlining its threat to critical infrastructure and the importance of vigilance and prepared measures to combat such cyber threats.

After Ascension ransomware attack, feds issue alert on Black Basta group The Record

The Biden administration plans to enforce minimum cybersecurity standards for hospitals following a significant hack at Change Healthcare, affecting 100 million Americans by exposing patient data and disrupting financial operations. This cybersecurity push, led by Anne Neuberger, deputy national security adviser, responds to vulnerabilities highlighted by the hack, including delayed patient care and financial instability for clinics, with the breach potentially slashing UnitedHealth's profits by up to $1.6 billion. Alongside regulatory measures, the administration aims to offer free cybersecurity training to 1,400 small and rural hospitals. This initiative comes as the healthcare sector increasingly falls prey to cyber-attacks, evidenced by a recent cybersecurity incident at Ascension, a leading hospital network. Resistance from industry representatives like the American Hospital Association is anticipated, despite the clear need for improved security measures highlighted by these incidents.

White House Will Require Cyber Standards for Hospitals GovTech

Investigators at Cedars-Sinai's Smidt Heart Institute in Los Angeles developed an artificial intelligence (AI) method that effectively detects atrial fibrillation, a condition characterized by abnormal heart rhythms, from echocardiogram imaging. The deep learning model was trained with over 100,000 echocardiogram videos to distinguish between normal heart rhythms and those indicating atrial fibrillation. Remarkably, this AI can identify patients likely to develop or who have had atrial fibrillation within 90 days, surpassing traditional risk estimation methods. This advancement highlights the potential for AI to play a significant role in early cardiac care, especially for conditions like atrial fibrillation that are challenging to diagnose due to their intermittent nature. The technology promises to improve early detection and treatment, potentially preventing serious cardiovascular events in patients with this often undetected arrhythmia.

Cedars-Sinai research shows deep learning model could improve AFib detection Healthcare IT News

Zscaler addressed rumors of a system breach by confirming that an isolated test environment, unconnected to its main infrastructure or customer data, was exposed online and subsequently taken offline for forensic analysis. The company's ongoing investigation has found no evidence of any compromise to its core customer or production environments. These rumors began circulating after a threat actor named IntelBroker claimed to be selling access to a cybersecurity company's sensitive data. Despite these claims, Zscaler reassures that its primary operational and customer data environments remain secure, indicating no impact from this incident on company or customer data.

Zscaler takes "test environment" offline after rumors of a breach BleepingComputer