Introduction: Recent events have cast a spotlight on the risks inherent in traditional multi-tenant database architectures. Modern SaaS platforms often house all customer data in a single, massive multi-tenant data store. This creates an “all or nothing” scenario in security: if that central store is breached, the damage is rarely confined to a single account – it’s usually a wholesale compromise of large segments of the user basemimirsec.com. The recent “MongoBleed” vulnerability (CVE-2025-14847) underscored

Vendor breaches are no longer an edge case—they are a primary way attackers bypass your “front door” controls. A single compromised integration can turn into wholesale data access if it relies on long-lived tokens, broad permissions, unmanaged exports, or direct database connectivity. This post turns the “side doors” risk into an actionable containment checklist: minimize what vendors can reach, shorten how long access works, and reduce the value

Over the last two years, large healthcare data breaches reported to the U.S. Department of Health and Human Services (HHS) Office for Civil Rights (OCR) have revealed a consistent pattern: almost all of the risk and almost all of the cost sit in one place – server aggregated data.

Modern SaaS platforms sit on top of massive, multi-tenant data stores. When those stores are breached, the damage is rarely limited to a single record; it is often “wholesale” compromise of large slices of the user base. For a CISO or CTO, this is the critical risk: not that a record can be stolen, but that everything a given system knows becomes available in one incident.