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Cyera Research Labs Reveals the Top Tactics to Reduce Data Risk in Healthcare

ID: 5565d474-11ef-5a9a-900f-28da984eafe8

STIX ID: report--5565d474-11ef-5a9a-900f-28da984eafe8

Feed Name: Cyera Research Labs

Date Published: 2025-09-29

Date Updated: 2026-04-27

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Cyera Research Labs analyzed anonymized healthcare telemetry to identify prevalent data exposure patterns—plaintext storage of PHI/financial data, leakage of production data into dev/QA, and risky external file sharing—and shows that organizations using automated remediation, default encryption, SaaS sharing governance, and non‑prod data controls can measurably reduce risk, while misconfigured cloud buckets, lingering shared credentials, and plaintext PHI remain common gaps; the report recommends continuous discovery/classification, access monitoring, and automated enforcement to turn detection into defense.

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