Sarah Danielson, Sr Director of Strategy & Health Solutions Group at Trace3, discusses the use of AI for anomaly detection in healthcare. She emphasizes that amid increasing data breaches, protecting patient data is essential. AI-driven anomaly detection reduces false positives, detects common data issues, and predicts device failures. Implementing a variety of security measures, including encryption, firewalls and multi-factor authentication, can also ensure data privacy and accuracy.
North Korean Hackers Use Fake U.S. Companies to Spread Malware in Crypto Industry: Report
North Korean hackers reportedly set up shell companies in the US to penetrate the crypto sector and target developers via fake job offers, according to
