1. Bank of England to Brief Banks on Cybersecurity Risks From Anthropic's Claude Mythos
UK regulators including the Bank of England, the Financial Conduct Authority, the Treasury and the National Cyber Security Centre are urgently convening with major banks, insurers and exchanges to assess cybersecurity risks posed by Anthropic's Claude Mythos Preview model. The experimental system can identify hidden software vulnerabilities faster than human experts, and officials say it has already flagged thousands of major flaws across operating systems, browsers and widely used enterprise software. The model is being deployed under "Project Glasswing", a controlled initiative granting select organisations access for defensive cyber purposes. US regulators have raised parallel concerns, making this a coordinated transatlantic response.
Why it matters: Asia-Pacific's biggest financial centres - Singapore, Hong Kong, Tokyo and Sydney - take strong cues from the Bank of England on systemic cyber risk. If the BoE issues formal guidance restricting how frontier AI models interact with banking infrastructure, expect the MAS, HKMA and FSA to follow with their own frameworks within weeks. For enterprise security teams across the region, the message is clear: audit your exposure to AI-driven vulnerability scanning now, before regulators mandate it.
Read more: https://www.bloomberg.com/news/articles/2026-04-11/bank-of-england-set-to-discuss-anthropic-s-mythos-with-banks
2. Grab Launches 13 AI Features at GrabX 2026, Building Southeast Asia's First AI-Native Superapp
Grab unveiled 13 AI-powered features at its annual GrabX showcase in Jakarta, positioning itself as an intelligent everyday guide for hundreds of millions of users across Southeast Asia. The rollout spans three pillars: Local Life (including Group Ride for up to four passengers, multi-merchant ordering and a personal AI concierge), Effortless Travel (hotel bookings, local dining discovery and cross-border GrabPay) and Business Empowerment (Virtual Store Manager, Cloud Printer and a Driver AI Assistant). All features run on what Grab calls its "Intelligence Layer" - an AI infrastructure built on insights from more than 20 billion rides and orders. The company's Early Access Programme has grown to 200,000 testers who have contributed 4,000 feature improvements.
Why it matters: Grab operates across eight Southeast Asian markets with more than 700 million potential users, and this is the most aggressive AI integration any regional superapp has attempted. For merchants and SMEs across ASEAN, tools like Virtual Store Manager and Cloud Printer signal that AI-powered business automation is arriving through platforms they already use daily - not through standalone enterprise software. Competitors like GoTo and Shopee will face pressure to match the pace.
Read more: https://www.grab.com/sg/press/others/grab-unveils-13-ai-powered-experiences-at-grabx-2026-as-southeast-asias-intelligent-everyday-guide/
3. India's Sarvam AI Closes $350 Million Round at $1.5 Billion Valuation
Bengaluru-based Sarvam AI is closing a funding round of up to $350 million at a valuation of $1.5 billion, making it the largest private funding deal for an Indian startup this year and the biggest capital injection into a pure-play Indian AI company to date. Bessemer Venture Partners is leading the round, with participation from Nvidia, Amazon and Prosperity7 Ventures. Founded in 2023 by Vivek Raghavan and Pratyush Kumar, Sarvam builds full-stack generative AI systems spanning foundational model research to enterprise deployment, with particular strength in multilingual voice-activated agentic models supporting 22 Indian languages. Total venture funding for India's top AI companies now exceeds $2.9 billion, backed by the government's IndiaAI Mission.
Why it matters: India has been conspicuously absent from the global foundation model race, with most enterprise AI deployments relying on American or Chinese offerings. A $1.5 billion Indian AI company backed by Nvidia and Amazon changes that calculus. For enterprise buyers across South and Southeast Asia seeking models trained on local languages and cultural context, Sarvam's 22-language capability fills a gap that OpenAI and Google have been slow to close. The round also validates India's ambition to become a net exporter of AI technology rather than just a consumer of it.
Read more: https://www.outlookbusiness.com/corporate/sarvam-ai-350m-funding-round-2026-bessemer-nvidia-amazon