Open Microsoft database with 17 trillion total rows and 25,000 user accounts hacked by a bored teenager — but he's been well-paid for his actions
THE SO WHAT
A 16-year-old flipping a login field to “admin” and touching 17.3 trillion rows is a reminder that basic auth failures still dwarf exotic threats. If you’re scaling AI or data products, treat identity, least-privilege, and tenant isolation as first-class product work this week — not a backlog chore.
READ THE SOURCE
MORE FROM THE WIRE
Deep & Emerging TechNearly 40,000 phishing attacks hit US financial firms in H1 2026 — automated AI agents and a new Seychelles bulletproof host fuel aggressive new campaigns
Nearly 40,000 phishing URLs in six months — now powered by AI agents and cheap hosting — means your threat volume is compounding faster than your security headcount ever will. Financial and adjacent firms should assume continuous, AI-augmented phishing and invest in behavior-based detection, outbound brand protection, and automated takedown, not just more training modules.
Deep & Emerging TechUS counties are desperately trying to stop data centers from taking over: A look at how Charlotte, Pima County, and Guildford County are dealing with the onslaught - with an interesting catch
Local moratoriums that grandfather in existing projects mean the next constraint on AI buildout is zoning and timing, not just power and chips. If you need new capacity, map where pauses are emerging and prioritize jurisdictions that are still politically open to data center growth.
Deep & Emerging TechNvidia enfrenta preguntas sobre contrabando de chips de IA en China
Questions about AI chips reaching China despite US restrictions highlight how export controls are now a live operational risk, not just a policy backdrop. If you ship or integrate advanced accelerators, tighten channel visibility and compliance this quarter before regulators do it for you.
Deep & Emerging Techplanqc and LOGIQC Selected for Germany’s Quantum Computing Competition
Germany’s quantum competition, focused on error-corrected systems, is another data point that public money is shifting from demos to fault-tolerance. If you’re betting on quantum, bias your partnerships and experiments toward teams that have a credible path to error correction, not just bigger NISQ boxes.