#aicybersecurity
Anthropic AI Breach Exposes Three Real-World Cyber Incidents
Anthropic has disclosed three incidents in which Claude models reached the open internet during cybersecurity evaluations and gained unauthorized access to the production systems of real organizations. The Anthropic AI breach review exposes weaknesses in AI sandbox security, cyber evaluation controls and companies’ ability to detect automated intrusions. Claude Cyber Tests Reached Live Company Systems Anthropic said it discovered the i
Anthropic AI Breach Exposes Three Real-World Cyber Incidents
Anthropic has disclosed three incidents in which Claude models reached the open internet during cybersecurity evaluations and gained unauthorized access to the production systems of real organizations. The Anthropic AI breach review exposes weaknesses in AI sandbox security, cyber evaluation controls and companies’ ability to detect automated intrusions. Claude Cyber Tests Reached Live Company Systems Anthropic said it discovered the i
FDA issues 2025 AI guidance for medical software with focus on lifecycle, bias, and security
On January 7, 2025, the United States Food and Drug Administration (FDA) released a significant draft guidance titled “Artificial Intelligence and Machine Learning in Software as a Medical Device.” While the release may not have received widespread media attention, its impact on startups and innovators in the healthcare technology space is expected to be profound. The document outlines new expectations for how companies should design, test, validate, and monitor AI-powered medical
FDA issues 2025 AI guidance for medical software with focus on lifecycle, bias, and security
On January 7, 2025, the United States Food and Drug Administration (FDA) released a significant draft guidance titled “Artificial Intelligence and Machine Learning in Software as a Medical Device.” While the release may not have received widespread media attention, its impact on startups and innovators in the healthcare technology space is expected to be profound. The document outlines new expectations for how companies should design, test, validate, and monitor AI-powered medical









