Audit Trail Platform (ATP) — Unified Compliance and Observability Layer¶
The Audit Trail Platform (ATP) is the tamper-evident, multi-tenant compliance backbone of the ConnectSoft SaaS ecosystem. It captures, secures, and exposes every meaningful system or user action across services — ensuring accountability, traceability, and data integrity at scale.
Designed using Domain-Driven Design, cloud-native architecture, and zero-trust security principles, ATP serves as both a central observability hub and a regulatory safeguard, enabling teams to meet SOC2, GDPR, and HIPAA requirements without compromising performance or developer productivity.
Whether you are an architect defining event flows, a developer integrating SDKs, an operator maintaining SLOs, or a compliance officer validating retention policies, this documentation provides the complete blueprint for understanding, deploying, and extending the Audit Trail Platform.
Why the Audit Trail Platform Exists¶
Modern SaaS ecosystems rely on hundreds of independent microservices, each executing business actions across multiple tenants and regulated markets.
Without a centralized, trusted audit layer, it becomes impossible to guarantee traceability, non-repudiation, and regulatory compliance across services.
The Audit Trail Platform (ATP) was created to unify event provenance across the ConnectSoft ecosystem — providing a single, immutable source of truth for what happened, when, where, and by whom.
Problem & Motivation¶
- Fragmented audit records: Each service previously maintained isolated logs with inconsistent formats, limited context, and no tenant isolation.
- Compliance mandates: Regulations such as SOC 2, GDPR, and HIPAA demand verifiable records of user activity, data access, and retention enforcement.
- Limited visibility: Operators lacked a consolidated view to perform forensics, correlation, or chain-of-event analysis during incidents.
- Operational burden: Teams spent time building ad-hoc audit solutions instead of focusing on core business logic.
ATP solves these challenges by providing a standardized audit backbone that ensures every action is captured, signed, correlated, and queryable — regardless of which microservice produced it.
Mission Statement¶
Guarantee accountability, integrity, and observability of all actions across the ConnectSoft SaaS fabric.
The platform enforces integrity through immutable storage, accountability through actor-centric tracing, and observability through unified ingestion and analytics pipelines.
Core Objectives¶
- Immutable audit records — every entry is cryptographically sealed and verifiable.
- Cross-tenant isolation — tenant-scoped data boundaries preserve confidentiality and performance.
- Configurable retention & residency — each tenant or compliance overlay defines its own data lifecycle policies.
- Developer enablement SDKs — simple APIs for emitting and consuming audit data from any ConnectSoft service.
- Operational transparency — built-in metrics, dashboards, and health checks expose reliability and compliance posture.
Who This Documentation Is For¶
| Persona | Focus |
|---|---|
| Architects / CTOs | Understand design principles, DDD boundaries, and multi-tenant strategy. |
| Developers / Integrators | Learn how to emit, consume, and test audit events through SDKs and APIs. |
| SRE / Operations | Manage deployment, monitoring, and recovery; apply observability best practices. |
| Compliance / Security Leads | Verify retention, redaction, and tamper-evidence policies for regulatory audits. |
Learn More¶
Architecture & Design Tenets¶
Overview¶
The Audit Trail Platform (ATP) is implemented as a distributed suite of bounded-context microservices, each owning a specific slice of the audit domain and communicating through asynchronous, event-driven channels.
Together, these services create an end-to-end pipeline that guarantees immutable, verifiable, and query-optimized audit data across all tenants.
graph LR
Producer["Producer Service / SDK"]
--> Outbox["Outbox Pattern"]
--> Bus["Azure Service Bus / MassTransit"]
--> Ingestion["Audit Ingestion Service"]
--> Storage["Audit Storage Service (WORM DB + Blob Archive)"]
--> Query["Audit Query Service (Read Projections)"]
--> Export["Audit Export Service (eDiscovery)"]
--> Consumer["External Consumer / Compliance Tool"]
Storage-->Integrity["Integrity Verification Service (Hash Chains + Signatures)"]
Storage-->Policy["Policy Service (Retention + Legal Hold)"]
Query-->Search["Search Index Service (Elastic / Cognitive Search)"]
subgraph Platform Edge
Gateway["API Gateway / Edge Service"]
end
Gateway-->Ingestion
Gateway-->Query
Gateway-->Export
Core Microservices¶
| Service | Responsibility | Key Aggregates / Entities |
|---|---|---|
| Audit.IngestionService | Validate and append incoming AuditRecords; publish canonical events to the bus. |
AuditRecord, AuditStream |
| Audit.StorageService | Persist normalized records in multi-tenant, append-only partitions; manage retention tiers. | AuditRecord, RetentionPartition |
| Audit.QueryService | Provide read-side projections and streaming APIs for audit retrieval. | AuditRecordProjection |
| Audit.IntegrityService | Maintain rolling hash chains and digital signatures for tamper evidence. | IntegrityBlock, SignatureLedger |
| Audit.ExportService | Handle asynchronous export jobs and signed downloads for eDiscovery. | ExportJob, ExportManifest |
| Audit.PolicyService | Evaluate and enforce retention DSL; execute purge/archival operations. | RetentionPolicy, LegalHold |
| Audit.SearchService | Index audit metadata and text fields for full-text search and analytics. | SearchDocument |
| Audit.GatewayService | Unified routing, authentication, and rate limiting for all downstream APIs. | — |
| Audit.ComplianceService | Cross-service compliance logs, policy evidence, and overlay configuration. | ComplianceEvent, ComplianceProfile |
Lifecycle of an Audit Record¶
- Emission — a producing microservice or SDK constructs an
AuditRecordand writes it to its local outbox. - Normalization & Validation — the
Audit.IngestionServiceconsumes from the outbox, validates schema, tenant, and actor, and republishesAuditRecordAppended. - Persistence —
Audit.StorageServicestores the record in an append-only partition (Write Once Read Many). - Integrity Linking —
Audit.IntegrityServiceextends the tenant’s hash chain and signs the batch block. - Indexing & Projection —
Audit.QueryServiceupdates its read model;Audit.SearchServiceindexes metadata for full-text lookup. - Policy Enforcement —
Audit.PolicyServiceevaluates retention rules and archival/hold conditions. - Access & Export — users and systems query data via
Audit.QueryServiceor initiate exports throughAudit.ExportService, always through the securedAudit.GatewayService.
Design Pillars¶
| Pillar | Description |
|---|---|
| Immutability | Every AuditRecord is append-only; updates or deletes are forbidden at the domain level. |
| Isolation | Tenant-scoped schemas, caches, and index partitions guarantee data boundaries. |
| Traceability | End-to-end correlation using OpenTelemetry traces and cryptographic proofs. |
| Observability | Uniform metrics, logs, and spans for ingestion → query → export workflows. |
| Extensibility | New bounded contexts (e.g., Analytics, AI Insights) can subscribe to audit events without modifying core services. |
Integration Points¶
- Messaging Bus: MassTransit over Azure Service Bus (Outbox, Retry, DLQ)
- APIs: REST + gRPC endpoints generated from OpenAPI / grpc code first contracts
- Security: OAuth2 / OpenID Connect integration with ConnectSoft Identity Service
- Storage: Azure SQL / PostgreSQL + Blob Archive for cold data
- Observability: OpenTelemetry traces, Prometheus metrics, Grafana dashboards
- Webhooks: Signed notifications for policy actions and export events
Reference Links¶
Quick Starts & User Journeys¶
The Audit Trail Platform (ATP) is built for fast adoption. Whether you’re integrating audit capabilities into a new microservice, operating the platform in production, or exploring recorded events for compliance verification — you can start in minutes.
Choose Your Path¶
-
🧑💻 Integrate as a Developer
Learn how to publish and validate audit records using the official ConnectSoft SDKs and message contracts.
→ Produce Audit Events -
⚙️ Operate the Platform
Deploy and monitor ATP services using the provided Helm charts or Bicep scripts.
→ Runbook & Operations Guide -
🔍 Query Audit Logs
Search and export immutable audit data across tenants using REST or gRPC APIs.
→ Querying Audit Logs
Developer Quickstart¶
Here’s a minimal example of producing an immutable audit record using the C# SDK:
using ConnectSoft.AuditTrail.Client;
var auditClient = new AuditClient(new AuditClientOptions
{
Endpoint = "https://audit.connectsoft.dev",
ApiKey = Environment.GetEnvironmentVariable("AUDIT_API_KEY")
});
var record = new AuditRecordBuilder()
.WithTenant("tenant-001")
.WithActor("user:123")
.WithAction("invoice.created")
.WithEntity("invoice", "INV-9083")
.WithMetadata(new { total = 249.00, currency = "USD" })
.Build();
await auditClient.PublishAsync(record);
✅ This record will be automatically signed, enriched, and routed through the ingestion pipeline for your tenant. See full SDK usage and advanced patterns here → C# SDK
Operator Checklist¶
| Step | Action | Expected Outcome |
|---|---|---|
| 1. Deploy | Deploy via Helm (charts/audit-trail) or Bicep (infra/main.bicep). |
ATP services running in your cluster. |
| 2. Verify Health | Visit /health endpoints or use the HealthCheck UI. |
Green status for ingestion, storage, and query components. |
| 3. Enable Telemetry | Connect OpenTelemetry exporters (Jaeger/Grafana). | End-to-end trace visibility across ingestion and query flows. |
| 4. Observe Metrics | Review Grafana dashboards under “Audit Trail / Overview”. | Confirm latency, ingestion throughput, and policy evaluation timings. |
| 5. Validate Policies | Run retention-policy dry run via CLI or API. | Ensure correct enforcement and audit retention boundaries. |
Deployment & CI/CD Notes¶
The Audit Trail Platform is fully integrated into the ConnectSoft CI/CD ecosystem.
Every merge to main or master triggers automated validation and documentation updates.
- Pipelines handle:
- 🧱 Infrastructure provisioning (Pulumi or Bicep)
- 🚀 Container builds & deployments (Helm + ACR)
- 🧩 Integration tests (MassTransit + Azure Service Bus)
- 📘 Documentation publication (MkDocs)
Related Resources¶
Compliance & Security Posture¶
The Audit Trail Platform (ATP) was designed as a first-class compliance subsystem within the ConnectSoft SaaS ecosystem.
Its purpose is to ensure that every recorded action can be trusted, verified, and governed—from emission to long-term retention—without sacrificing performance or developer agility.
Compliance Overview¶
ATP aligns with leading regulatory and industry frameworks, including SOC 2, GDPR, HIPAA, and ISO 27001.
Each tenant’s data is isolated, retained, and destroyed according to its Compliance Profile, a declarative overlay describing:
- Residency location (
region,sovereign_zone) - Retention duration and archival policy
- Encryption and access classification levels
- Breach notification requirements
This model allows auditors to map every audit event to a specific jurisdiction and lifecycle rule, ensuring provable adherence to privacy regulations.
Data Protection Measures¶
| Control | Description |
|---|---|
| Field-level classification & redaction | Sensitive fields (PII, PAN, Email, Phone, JWTs) are tagged using DataClassificationAttribute. Redaction policies from Microsoft.Extensions.Compliance.Redaction ensure non-exposure in logs and exports. |
| Encryption at rest / in transit | All audit data is encrypted with AES-256 GCM at rest (Azure SQL TDE + Blob SSE) and TLS 1.3 in transit. Connection strings are stored in Azure Key Vault. |
| Signature verification for tamper evidence | Every AuditRecord batch is sealed by Audit.IntegrityService using rolling hash chains and digital signatures stored in the SignatureLedger. Any mutation breaks the verification chain and raises an integrity alert. |
| Access control & least privilege | API Gateway enforces tenant-scoped tokens issued by ConnectSoft Identity Server (OpenIddict). RBAC and workload identity policies restrict access to data per role and environment. |
Zero-Trust Architecture¶
ATP adopts Zero-Trust principles for all workloads:
- Workload Identity via SPIFFE/SPIRE – every service authenticates using a short-lived SPIFFE ID instead of static keys.
- Mutual TLS for service mesh – intra-service communication occurs over authenticated mTLS channels.
- Continuous attestation – platform agents verify image signatures and configuration hashes before startup.
- PQC-ready hashing – integrity chains are built using algorithms that can be upgraded to quantum-safe (PQC) hashes, ensuring future-proof cryptographic strength.
These controls guarantee that even privileged internal networks cannot bypass authentication or modify stored evidence.
Operational Safeguards & Monitoring¶
| Safeguard | Purpose |
|---|---|
| SLOs & Auditable Metrics | Each service exposes compliance SLOs (availability, latency, retention accuracy) exported through OpenTelemetry Metrics and verified by Grafana Loki dashboards. |
| Policy Execution Logs | The Audit.PolicyService emits signed PolicyApplied events for every retention or redaction cycle—providing auditability of the auditor itself. |
| Breach Notification Hooks | If a data-integrity violation or unauthorized access is detected, ATP publishes a signed SecurityIncident event to the tenant’s configured webhook endpoint. |
| Immutable Runbooks | All remediation workflows are stored as versioned YAML artifacts in GitOps repositories, ensuring traceable operational governance. |
Reference Links¶
- → Security & Compliance
- → PII Redaction & Classification
- → Tamper Evidence
- → Zero Trust Architecture
Evolution & Contribution¶
The Audit Trail Platform (ATP) is not a static product — it’s a living, continuously-validated platform.
Every change, from SDK improvements to retention-policy tuning, is captured, tested, and versioned through ConnectSoft’s CI/CD and Architecture Decision Records (ADRs) process.
Continuous Integration & Delivery¶
ATP uses Azure Pipelines for full automation across build, test, release, and documentation publication.
| Stage | Description |
|---|---|
| Build & Test | Executes unit, integration, and compliance tests on each pull request. |
| Quality Gates | Enforces code coverage, schema compatibility, and security scans before merging. |
| Docs Publish | Builds MkDocs site and pushes to the public documentation portal after successful validation. |
| Release Pipelines | Deploys container images and Helm charts to Dev → Stage → Prod environments with signed artifacts. |
Status Badges (example):
Governance & Change Management¶
ATP evolves under a structured architectural governance model:
- Architecture Decision Records (ADRs) — each significant change is documented under
adr/.
Example:ADR-0001 – Record Architecture Decisions - Semantic Versioning (semver) — versions follow
MAJOR.MINOR.PATCHrules; breaking schema changes trigger new API versions. - Feature Flags & Rollout Channels — experimental capabilities are gated behind configurable feature flags, ensuring safe rollout across tenants.
- Review Workflow — changes require cross-review from architecture, security, and compliance maintainers before merge.
These mechanisms keep ATP auditable even in its own evolution — “auditability of the auditor.”
Roadmap & Future Work¶
ATP’s roadmap is driven by feedback from platform operators, developers, and compliance teams.
| Focus Area | Planned Enhancements |
|---|---|
| SDK Enhancements | Add streaming client APIs, async batching, and polyglot SDKs (Node.js / Python). |
| Quantum-Safe Signing | Upgrade signature chain to PQC algorithms (e.g., CRYSTALS-Dilithium). |
| Cross-Region Replication | Enable geo-redundant immutable stores for regional sovereignty. |
| AI-Assisted Forensics | Integrate AI agents to summarize anomaly clusters and incident chains. |
| Policy Analytics | Add retention policy dashboards with predictive cost and compliance scoring. |
Roadmap updates are published quarterly in the Changelog.
Thank You¶
You’ve reached the end of the Audit Trail Platform overview.
Explore deeper sections for implementation details, SDK usage, policy management, and hardening guides — or contribute your own insights to help evolve the platform.