The Infrastructure Layer represents the foundational, sovereign compute and storage environment upon which the entire Evidence Platform is built. It is responsible for enforcing immutability, ensuring evidentiary integrity, enabling secure distributed access, and maintaining strict separation between data custody (Origin of Truth) and data consumption (institutional and peripheral systems).
At its core, this layer is implemented through federated, security-hardened Kubernetes clusters operating across multiple jurisdictions and organizational boundaries. These clusters provide the execution, storage, networking, and policy enforcement mechanisms required to support a distributed evidentiary system at scale.
The Infrastructure Layer is composed of multiple independent Kubernetes clusters, each serving a distinct role within the system:
Origin of Truth Clusters (Law Enforcement + Prosecutors)
Institutional Clusters (Defense, Courts, Oversight)
Peripheral Clusters (Public, Research, AI Training, Transparency)
These clusters are logically interconnected but physically and operationally isolated, ensuring that no single entity can compromise the integrity of the evidentiary record.
The use of Kubernetes enables:
containerized microservices for modular system design
declarative infrastructure and policy enforcement
workload isolation across namespaces and tenants
horizontal scalability for large evidentiary datasets
resilience through distributed scheduling and failover
This federated model ensures data sovereignty, allowing each participant to operate within its own controlled infrastructure while interacting with a shared evidentiary system.
At the center of the Infrastructure Layer is the Origin of Truth Kubernetes cluster, which serves as the canonical evidence repository.
Key characteristics include:
Immutable Storage Model
Evidence objects (files, media, metadata, audit records) are stored as non-mutable artifacts once ingested.
Content Integrity Enforcement
Cryptographic hashing and verification ensure that any retrieved artifact is identical to the original submission.
Chain-of-Custody Ledger
Every action—ingestion, access, transfer—is recorded in a tamper-evident audit log.
Strict Access Boundaries
No external system—including prosecutors—can modify stored evidence after ingestion.
This architecture transforms evidence management into a verifiable, ledger-like system, ensuring that evidentiary integrity is preserved across the entire lifecycle.
The Infrastructure Layer implements a hybrid storage model combining:
Kubernetes Persistent Volumes (PVs) and Persistent Volume Claims (PVCs)
Cloud-backed or on-premise block storage systems
Distributed file systems and object storage for large-scale evidence (video, audio, documents)
Databases and metadata services operate as StatefulSets, ensuring:
persistent identity and storage binding
replication and failover capabilities
high availability for evidentiary indexing and retrieval
geographically distributed backups
retention policies aligned with legal requirements
disaster recovery strategies across clusters
This design ensures that evidence is durable, redundant, and legally compliant across jurisdictions.
All communication within the Infrastructure Layer is governed by secure, policy-driven networking.
Kubernetes Services and ingress controllers
Service mesh architectures (e.g., Istio) for:
encrypted service-to-service communication
traffic policy enforcement
observability of data flows
Streaming systems such as Apache Kafka
asynchronous pipelines for:
evidence ingestion events
audit logging
oversight telemetry
Centralized Evidence Gateway APIs
controlled exposure of:
read-only evidence access
metadata queries
audit and compliance streams
This ensures that data movement is controlled, observable, and policy-enforced at every step.
Security within the Infrastructure Layer is zero-trust by design, with multiple layers of enforcement:
Kubernetes Role-Based Access Control (RBAC)
fine-grained service and user permissions
integration with external identity providers
namespace isolation
network policies restricting east-west traffic
cluster-level segmentation preventing lateral movement
in-transit encryption via TLS across all services
at-rest encryption within storage backends
secure handling of credentials, keys, and tokens
integration with vault systems and hardware security modules
policy-as-code frameworks governing:
access permissions
workload execution
data handling constraints
These controls ensure that no unauthorized access or modification of evidence is possible, even in the presence of compromised components.
The Infrastructure Layer provides comprehensive observability across all system components, enabling judicial and regulatory oversight.
monitoring via Prometheus
distributed tracing and telemetry pipelines
centralized log aggregation systems
complete traceability of:
evidence ingestion
access events
API interactions
system-level changes
real-time event feeds to:
courts (compliance verification)
state and federal oversight bodies
internal audit systems
This transforms the infrastructure into a fully observable system, where compliance is continuously verifiable rather than retrospectively asserted.
A defining feature of the Infrastructure Layer is the separation of storage and computation.
Evidence remains centralized within the Origin of Truth
Computation occurs within independent institutional clusters
Each participant may operate:
AI agents for analysis and classification
legal workflow automation systems
investigative or defense analytics pipelines
Because these workloads execute locally:
institutions maintain full control over their compute environments
sensitive evidence is not replicated unnecessarily
cross-organizational trust is enforced through architecture rather than policy
This model enables federated computation with centralized evidentiary integrity.
The Infrastructure Layer enforces strict separation between the core evidence system and all external systems.
Peripheral systems:
operate in separate clusters or environments
interact only through sanitized APIs and derived datasets
have no direct network path to the Origin of Truth
Security mechanisms include:
one-way data replication pipelines (data diode model)
metadata-only exposure
event-stream-based interaction models
This ensures that innovation, transparency, and analytics can occur without introducing risk to the evidentiary core.
The Infrastructure Layer enables several critical capabilities:
Immutable Evidence Integrity
No post-ingestion modification is possible
Federated Data Sovereignty
Each institution retains control of its infrastructure
Continuous Compliance Verification
Oversight is embedded into system telemetry
Zero-Trust Security Architecture
Every interaction is authenticated, authorized, and logged
Scalable, Cloud-Native Deployment Model
Supports national or multi-jurisdictional expansion
Separation of Concerns
Storage, computation, and governance are independently controlled
Kubernetes — https://kubernetes.io/docs/concepts/
Cloud Native Computing Foundation — Cloud Native Security Whitepaper
Prometheus — https://prometheus.io/docs/introduction/overview/
Istio — https://istio.io/latest/docs/
Apache Kafka — https://kafka.apache.org/documentation/
National Institute of Standards and Technology (NIST). Digital Evidence and Chain of Custody Guidance
Burns, B., Beda, J., & Hightower, K. Kubernetes: Up and Running