Insights That Matter Today
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Your LLM Is a Data Leak Until Proven Otherwise
Why this matters this week Three things have converged in the past few weeks that make “we’ll figure out AI governance later” an increasingly bad bet: Regulators are connecting AI systems to existing obligations, not waiting for bespoke “AI laws.” SOC2 / ISO auditors are starting to ask concrete questions about LLM data flows, retention,…
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Stop Bleeding Money on “Serverless” AWS: A Pragmatic Cloud Engineering Guide
Why this matters this week AWS bills and incident reports don’t lie: a lot of “serverless” and managed-service-heavy architectures are quietly: 2–5× more expensive than necessary, harder to debug than the EC2 monoliths they replaced, and failing in non-obvious ways under real-world load. Two things are colliding right now: Cost pressure is real. Finance is…
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Cybersecurity By Design: Stop Treating Security as a Ticket Queue
Why this matters this week Three converging trends are forcing “cybersecurity by design” from slideware into something you either implement or suffer: Identity is the new perimeter — and it’s already breached. Most meaningful attacks now start from: Compromised credentials / session tokens Over-permissioned service accounts Misconfigured SSO / federation Cloud security posture is becoming…
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The Hidden Cost of “Just Integrate Stripe”: Rebuilding Your Fintech Control Plane Before It Breaks
Why this matters this week If you run anything that moves money—B2B SaaS with usage billing, marketplace, neobank, crypto on/off-ramp—you’re probably sitting on a brittle mess of: Payment processor SDKs Homegrown fraud rules KYC checks wired in via webhooks Spreadsheets for reconciliation and chargebacks What changed this week isn’t a specific regulation or vendor announcement;…
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Your ML System Is Not “Done” at Launch: A Pragmatic Guide to Evaluation, Monitoring & Drift
Why this matters this week Most teams now have at least one machine learning system in production. Fewer have one they actually trust. What’s changed recently isn’t that “AI is everywhere”; it’s that: Inference volumes (and costs) jumped, especially with large models. Regulatory and internal risk teams are asking for hard evidence: evaluation, monitoring, and…
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Stop Calling It “Agents” If It’s Just a Cron Job with a GPT Call
Why this matters this week AI automation quietly crossed a threshold in the last ~90 days: It’s now cheaper than a human for a growing set of narrow, well-scoped workflows. It’s more robust than brittle RPA for anything involving unstructured text, screenshots, or variable layouts. It’s integrating into production via APIs, event buses, and workflow…
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