The Infrastructure of Dependency Trust

A modular, enterprise-grade orchestration layer built to govern the intake of third-party components across your entire SDLC.

Data Center Server Infrastructure
Positioning Governance Architecture Integration Adapters Strategic Value

Executive Positioning

The Dependency Assurance Platform is a dependency governance and enforcement layer. It does not try to replace your repository manager, scanner, identity platform, or CI/CD system. It connects them into a single governed control plane.

AI-First Delivery & "Dog Fooding"

The speed of our own integration—moving from conceptual design to a multi-perspective governance platform in a single session—is the direct result of using this platform's AI-guided delivery model. We build with the same guardrails and context injection that we deliver to our customers.

Most organizations have fragmented detection. They have Snyk for scanning, Artifactory for storage, and Azure DevOps for builds. What they lack is a system of decision, promotion control, and traceability.

From: Scan after install
To: Govern before trust

The Governance Layer

The platform is the missing operational layer that turns detection into enforceable policy.

Artifact Enforcement

The platform controls whether a dependency physically becomes available in the internal repository path. If review isn't complete, it isn't promoted into the approved hosted repository.

Environment-Aware Policy

Dev supports low-risk auto-approval. Test allows threshold-based progression. Production always requires human dual-control.

Governed AI

AI analyzes package content and behavior but cannot override hard policy blocks or bypass authorized production approvals.

Full Set Traceability

Govern the complete resolved dependency set, including transitive dependencies, hashes, and promotion lineage.

System Architecture

A modular architecture aligned with existing enterprise investments, designed for high-throughput orchestration.

Orchestration Layer

Long-running work is handled asynchronously via Celery and Redis. The chain includes resolution, scanning, AI review, policy evaluation, and promotion. The failure model is safe: any stage failure blocks the promotion.

Data Layer

The data model is split across fit-for-purpose stores: PostgreSQL for state, MinIO for artifacts, and Neo4j for graph-native relationship analysis of dependency paths and blast radius.

Integration Adapters

Adapters wrap and normalize integration with external systems, allowing the platform to evolve without rebuilding the domain model.

Sonatype Nexus Adapter

Handles repository operations: checking existence, metadata queries, and uploading approved artifacts. It uses Sonatype as the enforcement point without scattering API logic.

Scanner Adapter

Wraps engines like Grype and Trivy. Normalizes raw results into a single internal findings model, keeping the platform tool-independent.

AI Model Adapter

Abstraction over LLM providers (Azure OpenAI, Anthropic). Normalizes requests and structured responses for package analysis.

SBOM Adapter

Generates or translates SBOM artifacts (CycloneDX, SPDX). Provides a standard machine-readable inventory of every review.

Identity Adapter

Normalizes auth and claims across Keycloak (Dev) and Entra ID/Okta (Prod). Maintains a consistent authorization model.

Notification Adapter

The outbound messaging layer (Slack, Email). Reliably broadcasts workflow events like "approval required" or "promotion completed."

Strategic Value

Security Mandate

Addresses typosquatting, poisoned transitive packages, and malicious updates at the intake point.

Developer Velocity

Removes ambiguity. Settle dependency questions instantly with AI-assisted risk summaries.

Governance Accelerator

Piece together scanner output, repo records, and metadata into a unified decision trail.

Compliance Readiness

Generate evidence for approvals, policy enforcement, and continuous supply chain monitoring.

"Software dependencies are no longer build inputs—they are governed enterprise assets."