AI Threats Surge: Cross-Border Data Sharing Crucial

New artificial intelligence systems, like Mythos Preview, are creating a surge in cybersecurity threats. This makes sharing cybersecurity data across national borders more urgent than ever. Cybersecurity defenders are seeing a "storm of vulnerability disclosures" and "large waves of AI-discovered vulnerabilities." AI is finding thousands of critical vulnerabilities, turning them into attacks without human help, and orchestrating these attacks at unprecedented speed. The time defenders have to respond to attacks has drastically shrunk. Back in 2018, there were over two years between a vulnerability's discovery and its exploitation. By 2025, this gap was just 23 days. Now, a working attack can emerge within 20 hours of a vulnerability being found. However, data localization laws and different privacy regulations can limit the transfer of crucial cybersecurity data. This "data fragmentation" makes it harder for defenders to share information across borders. Cross-border data sharing is vital for threat detection, identifying privilege escalation attacks, and penetration testing. This is why the ability to share information quickly across borders is increasingly critical for everyone's digital safety.