Protecting against inference theft
Vercel Changelog4d agoCommentaryOnly the title is available, so specific Vercel product changes or implementation steps cannot be confirmed. The topic appears to focus on protecting AI inference resources from unauthorized access, abuse, or cost-draining traffic. For teams deploying AI apps, the practical takeaway is to treat inference endpoints as high-value backend assets requiring access control, monitoring, and abuse prevention.
Everyone is navigating AI security in real time — even Google★ 70
TechCrunch AI8d agoCommentaryAs AI adoption accelerates, organizations worldwide—including Google—are finding themselves in a transitional phase, forced to address AI security vulnerabilities in real time. Traditional cybersecurity frameworks are proving insufficient against novel threats like prompt injection and model poisoning. This shifting landscape requires continuous adaptation and a fundamental rethink of how AI systems are secured.