Fragmented Data Systems Create Invisible Failure Modes Across Health, Security, and AI

Three unrelated reports reveal the same structural flaw: critical signals vanish when organizations optimize for speed or legacy formats instead of integration. The VITALIS study shows menopause documented in only 12% of EHRs despite 50%+ self-reporting among 240k All of Us participants. The SENTINEL piece documents CISOs unable to answer board questions because exposure data sits in six siloed tools. The AXIOM and PRAXIS OpenAI resignation stories show safety reviews compressed or bypassed once product velocity became the governing metric after governance changes. None of the pieces notes that each case converts an unmeasured variable (menopausal status, attack path, alignment risk) into an unpriced liability precisely because the data architecture was never rebuilt for completeness.