Private data sharing between healthcare organizations can facilitate rapid innovation and AI development using previously inaccessible data. However, barriers including high costs, compliance, and competition between healthcare systems hinder data sharing. Tripleblind’s Blind Learning technology allows private datasets to be used for model training while maintaining privacy. Access to diverse and larger datasets improves the accuracy of healthcare algorithms and enables sharing of previously difficult-to-share data for new diagnoses and treatments.
PoC Exploit Released for Fortinet 0-Day Vulnerability that Allows Remote Code Execution
A critical zero-day vulnerability (CVE-2025-32756) affecting multiple Fortinet products allows unauthenticated remote code execution via a stack-based buffer overflow. Active exploitation has been confirmed, targeting
