TechCrunch says Amazon CEO Andy Jassy may have been the source of security concerns behind Anthropic cutting worldwide access to two models. The report cites The Wall Street Journal as saying Amazon researchers used Claude Fable 5 to obtain cyberattack-relevant information. The U.S. government then imposed export controls on Fable 5 and Mythos 5, while Amazon declined to disclose details of its government discussions.
ElevenLabs signed a Memorandum of Understanding with the UK’s DSIT to explore voice AI for public services, accessibility, AI security, and talent development. The work will examine government information access for visually impaired users, older citizens, low-literacy groups, learning differences, and multilingual communities. The company is also expanding in London, moving to a larger HQ and aiming to double UK headcount to 200 this year.
OpenAI unveiled Lockdown Mode, a feature aimed at reducing the chance that sensitive data is shared during prompt injection attacks. The article notes that ChatGPT may still remain vulnerable even when the mode is enabled. That makes the feature a mitigation layer rather than a complete security guarantee, especially for teams handling private or business-critical information.
Meta confirmed a vulnerability in Instagram’s AI-assisted account recovery system that let attackers redirect password reset links to attacker-controlled emails. At least 20,225 users were notified, with compromised accounts potentially exposing profile data, posts, direct messages, and activity. Meta says it has disabled the affected chatbot flow, removed the vulnerable code path, and asked impacted users to reset passwords through verified channels.
Only 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.
As 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.