SECURE FILE DELIVERY & PARTNER EXCHANGE
Summary
Send sensitive files without creating at-rest copies. ZRDA moves encrypted, fragmented data across a distributed mesh and reconstructs it only in RAM on the receiving end. Once viewed, the data evaporates automatically.
Outcomes
- No inboxes, portals, or servers store retrievable files
- Operator-opaque: no node can assemble plaintext
- Reduced breach, ransomware, and compliance exposure
Zero-Residency Storage & Zero-Footprint Backups
Summary
- Data exists only in encrypted, fragmented motion across the mesh.
- No long-lived RAM, disk, cache, or snapshot artifacts.
- Fragments evaporate automatically based on TTL (time-to-live).
- Nothing remains in a state long enough to be exfiltrated or harvested.
- Availability is delivered through controlled motion, not storage.
Outcomes
- No disk persistence
- No long-lived RAM buffers
- Ephemeral fragments only
- TTL-governed motion = availability
- No backup, snapshot, or replica to steal
SOFTWARE/ARTIFACT DELIVERY (SUPPLY-CHAIN & CDN-STYLE)
Summary
ZRDA distributes binaries and software artifacts entirely from motion. Endpoints reconstruct content in volatile memory, then immediately flush—eliminating origin repositories, mirrors, and tamper surfaces.
Outcomes
- Protects supply chain from artifact theft or corruption
- No persistent repos or CDN edges storing artifacts
- Fits CI/CD pipelines and secure OTA update flows
Secure Microservices Transport
Summary
Service-to-service communication creates hidden persistence in queues, logs, and caches. ZRDA replaces this with ephemeral fragments on rotating mesh paths, reconstructable only in destination RAM.
Outcomes
- No logs, queues, or caches retain sensitive data
- Shard-level blast radius in case of compromise
- Deployable via SDK or Kubernetes sidecar
MEDICAL / EHR & PHI DELIVERY
Summary
Healthcare workflows create dozens of unintended PHI copies. ZRDA prevents retention entirely—PHI exists only in RAM during authorized access, then disappears by design.
Outcomes
- No portal, inbox, or cache storing PHI
- Reduced audit scope and compliance burden
- Time-bounded, controlled access for clinicians and partners
AI Model & Dataset Distribution
Summary
LLM models and proprietary datasets are high-value IP targets. ZRDA distributes them securely in motion—consumers reconstruct weights or data in-memory only, with no persistent repos or download artifacts.
Outcomes
- Protects model IP and training datasets
- Eliminates the “stolen model weights” problem
- Ideal for partner handoffs, labs, and regulated AI pipelines