Reference architectures
System boundaries, identity flows, retrieval patterns, gateways, control points, and implementation decisions expressed as architecture rather than marketing claims.
Evidence and public engineering
Show the architecture. Show the controls. Show the evidence.
IKEVAR builds credibility through reviewable technical work: reference architectures, control models, implementation artifacts, evaluation harnesses, governance evidence, and public engineering that exposes how systems are designed, governed, tested, and prepared for implementation.
No invented customer logosNo fabricated metricsNo certification overclaimsEvidence before claims
Proof model
Enterprise proof should be inspectable, not implied.
Control models
Policy, authorization, governance, review, evidence, and runtime expectations translated into technical control structures that engineering teams can reason about.
Implementation artifacts
ADRs, test harnesses, evidence records, schemas, trace models, verification scripts, readiness gates, and delivery documentation that make architecture reviewable.
Public engineering
Selected public repositories expose the design assumptions, boundaries, verification discipline, and technical artifacts behind IKEVAR architecture and engineering work.
Selected architecture evidence
Technical proof translated for enterprise review.
Each evidence record explains the architecture problem, governing principle, and inspectable artifacts inside the IKEVAR evaluation path. Public source repositories remain available as supporting provenance for technical evaluators who want to go deeper.
Secure RAG architecture
Enterprise Secure RAG Reference Architecture
Public source: Enterprise Secure RAG Lab
View public source repository ↗What it demonstrates
A phase-gated architecture covering RAG foundations through secure ingestion, identity and ACL-aware retrieval, context assembly, response security, evaluation, red teaming, and architecture review.
Architecture principle
Retrieval authorization occurs before enterprise context reaches the model; the LLM does not grant data access.
Inspectable artifacts
- phase-gated architecture documentation
- secure ingestion and retrieval patterns
- identity and ACL-aware retrieval design
- evaluation and red-team exercises
Enterprise integration architecture
Enterprise AI Integration Reference Architecture
Public source: Enterprise AI Integration Architecture Lab
View public source repository ↗What it demonstrates
A modular architecture for connecting AI to identity, policy repositories, CMDB-style systems, ticketing workflows, audit services, observability, and approval paths without bypassing enterprise controls.
Architecture principle
AI integration is treated as an enterprise system-design problem, not as a standalone chatbot implementation.
Inspectable artifacts
- AI gateway and identity boundaries
- RAG and policy-engine integration model
- audit and approval service patterns
- operational observability architecture
Agent evaluation and assurance
Agent Evaluation and Assurance Platform
Public source: Agent Evaluation Platform
View public source repository ↗What it demonstrates
A lab-safe evaluation platform for benchmark-driven testing of agent safety, factuality, RAG grounding, tool-call correctness, policy compliance, regression risk, and evidence readiness.
Architecture principle
Agents should be evaluated before deployment, monitored after deployment, and re-evaluated whenever prompts, tools, retrieval, memory, policies, or workflows change.
Inspectable artifacts
- ground-truth benchmark records
- hallucination and RAG evaluation suites
- tool-call and policy verification
- regression and evidence-package models
Governed agent framework comparison
Multi-Framework Agentic Evidence Architecture
Public source: Multi-Framework Agentic Evidence Lab
View public source repository ↗What it demonstrates
A completed comparison architecture that implements the same evidence-review workflow across LangChain, LangGraph, Strands, and ADK-style tracks using shared schemas, traces, benchmark questions, and a scoring rubric.
Architecture principle
Framework choices should be evaluated against the same governed workflow and evidence model rather than compared through unrelated demos.
Inspectable artifacts
- shared report and trace schemas
- human-review routing
- cross-framework benchmark execution
- comparison matrix and verification evidence
Governance doctrine and traceability
SecureTheCloud Doctrine Control Plane
Public source: SecureTheCloud Doctrine Control Plane
View public source repository ↗What it demonstrates
A canonical governance repository for portfolio doctrine, authority boundaries, machine-readable contracts, product packaging rules, change traceability, and SOC 2-aligned readiness evidence.
Architecture principle
Governance boundaries and authority should be explicit, versioned, reviewable, and separated from runtime enforcement implementation.
Inspectable artifacts
- authority and module boundaries
- machine-readable governance contracts
- SOC 2-aligned traceability artifacts
- change-management and evidence records
Evidence boundary
Proof is strongest when its limits are explicit.
- Public labs and reference implementations demonstrate architecture patterns and engineering discipline; they are not representations of customer production environments unless explicitly stated.
- Mock evidence, simulated services, and deterministic test harnesses are labeled as such in their source repositories.
- SOC 2-aligned readiness artifacts do not claim SOC 2 certification or replace an independent examination.
- Repository evidence is used to show how IKEVAR designs, tests, governs, and documents systems—not to manufacture customer outcomes or performance claims.
From evidence to engagement
Bring us the architecture problem you need to make reviewable.
We can help turn enterprise AI, cloud, security, governance, autonomous-system, or regulated-workflow requirements into architecture decisions, control models, evidence expectations, and implementation-ready artifacts.