{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/68a43f4573bf5b62987006aa/6aec100d0bf1ec6d9e2a55fb?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"AI Security at Scale, LLMJacking Costs, and the New Limits on AI Spend","description":"Claire and Peter unpack a day of stories about scale and control in AI. OpenAI reports an automated agent pipeline that identified 948 unique Linux kernel local privilege escalation vulnerabilities in a single run, along with working exploits and proofs of concept, raising fresh questions about defensive capacity and responsible validation. Google and Mandiant warn of \"LLMJacking\", where attackers steal and resell enterprise LLM access, driving cloud bills to six figures in a day. Plus, Apple reportedly tightens internal AI budgets even as staff are encouraged to use AI more, voter backlash makes new data centre builds harder after the US midterms, and Redis Iris pushes production-ready context, memory and routing to help teams ship AI agents with stronger governance.","author_name":"Six & Flow"}