Federal Innovation Lab & Applied R&D

Technical Evidence You Can Inspect

Production-grade reference architectures and working code developed by BE EASY's specialized engineering practices to solve complex federal requirements before contract award.

Applied Engineering

Engineering Proof Before Contract Award

Federal acquisitions often rely on paper promises. BE EASY's Federal Innovation Lab provides inspectable technical evidence.

Our engineering squads and practice leads build and publish working reference implementations that translate complex federal mandates—including NIST SP 800-207 Zero Trust, OMB M-24-10 AI governance, and CMMC practices—into working code, Terraform modules, and compliance dashboards that contracting officers and prime partners can evaluate.

Inspectable Code

Public repositories with auditable infrastructure as code and control mappings.

Day-One Velocity

Pre-hardened modules that reduce task-order startup time and delivery risk.

Practice-Led

Engineered and maintained by our senior architects and delivery squads.

FedRAMP & DoD

Built to federal baseline impact levels, NIST controls, and DISA STIGs.

Internal Research & Development (IR&D) Scope: These reference implementations represent BE EASY's ongoing applied R&D initiatives, engineered by our practice disciplines to validate and de-risk emerging federal compliance mandates (NIST SP 800-207 Zero Trust, FedRAMP High, OMB M-24-10 AI governance) prior to task-order delivery. While conducted as independent internal engineering and not customer engagements, each repository provides open, verifiable evidence of our architecture, controls, and implementation rigor.

Cybersecurity & Zero Trust Practice

AEGIS: Multi-Cloud Zero Trust & Governance Framework

Problem
Federal programs moving to multi-cloud environments need Zero Trust controls and authorization artifacts that stay consistent across AWS, Azure, and GCP.
Federal requirement
NIST SP 800-207 Zero Trust, the RMF lifecycle, FedRAMP High and NIST SP 800-53 Rev 5 baselines, and DoD Cloud SRG impact levels.
Architecture
A governance layer (SSP, POA&M, SAR templates, RACI), an identity-centric Zero Trust engine (PIV/CAC, RBAC/ABAC), a compliance-mapping engine, and Terraform modules for AWS GovCloud, Azure Government, and GCP.
Controls & frameworks
NIST SP 800-207, NIST SP 800-53 Rev 5, FedRAMP High, DoD Cloud SRG, DISA STIGs, NIST SP 800-161 supply chain.
What our practice engineered
Reference governance artifacts, IAM and Zero Trust implementation guides, RMF lifecycle automation, eMASS and ITSM integration guidance, and modular infrastructure as code.
Demonstrated capability
Our cybersecurity practice translates Zero Trust concepts into concrete cloud architecture, identity controls, and infrastructure as code, producing the documentation an authorizing official expects.
Inspect repository
Secure Cloud & AI Engineering Practice

Secure Generative AI Platform (RAG) on AWS

Problem
Agencies want generative AI grounded in their own documents without exposing sensitive data or opening new attack paths such as prompt injection.
Federal requirement
Secure-by-design AI aligned to the NIST AI RMF, NIST SP 800-53 High baseline controls, and GovCloud deployment.
Architecture
S3 ingestion → Bedrock embeddings → vector store (OpenSearch Serverless or Aurora pgvector) → RAG orchestrator with Bedrock Guardrails → private API Gateway behind WAF and Cognito, with CloudTrail, GuardDuty, and Config for observability.
Controls & frameworks
NIST AI RMF 1.0, NIST SP 800-53 Rev 5 control mapping, STRIDE and MITRE ATT&CK threat model, KMS encryption, least-privilege IAM, private endpoints.
What our practice engineered
Terraform and SAM infrastructure, a hardened RAG pipeline with retrieval scoping and PII redaction, attack-simulation scripts, and a DevSecOps pipeline with scanning, SBOMs, and canary deployments.
Demonstrated capability
Secure AI architecture and AI control engineering: our teams deliver useful generative AI while treating it as a system subject to rigorous federal authorization.
Inspect repository
Compliance Automation Practice

NIST SP 800-53 Compliance Scanner

Problem
Control assessments are manual, point-in-time, and hard to keep current across hybrid environments.
Federal requirement
Continuous monitoring of NIST SP 800-53 Rev 5 controls across Low, Moderate, and High baselines, with POA&M tracking.
Architecture
A multi-tenant scanner engine with AWS, Azure, GCP, and on-premises adapters; 18 control-family modules; reporting to JSON, Markdown, and HTML; and Prometheus metrics feeding Grafana dashboards and alert rules.
Controls & frameworks
NIST SP 800-53 Rev 5 (18 control families), continuous monitoring (NIST SP 800-137 concepts), POA&M management.
What our practice engineered
The scanner, a POA&M generator, dashboards-as-code, alerting on posture drift, encrypted result storage, and OpenTelemetry tracing.
Demonstrated capability
Compliance automation: turning static controls into repeatable checks, auditable evidence, and automated remediation workflows.
Inspect repository
Mission Operations & Workflow Practice

Federal Document Triage Agent

Problem
Federal offices route large volumes of correspondence, contracts, FOIA requests, and memos by hand, which creates backlogs and missed deadlines.
Federal requirement
Faster, auditable document intake and routing that protects CUI and PII and records every decision.
Architecture
A LangGraph multi-agent workflow on AWS: intake (Textract parsing, Comprehend PII redaction), Bedrock-based classification by type, sensitivity, and urgency, rule-based routing with SLAs, and approval tracking with escalation.
Controls & frameworks
Audit logging of every decision, PII redaction, sensitivity labeling (Unclassified, SBU, CUI), GovCloud deployment patterns.
What our practice engineered
The agent workflow, classification and routing logic, an approval tracking and escalation model, and deployment infrastructure.
Demonstrated capability
Workflow automation that applies AI to mission operations with human approval, CUI safeguards, and complete auditability built in.
Inspect repository
More From the Lab

Additional Reference Implementations

Cybersecurity & Compliance Practice

ICRAF: Cyber Risk & Compliance Dashboard

CMMC and NIST SP 800-171 practice tracking, a risk register, and an automated control verifier that checks Terraform plans, Kubernetes manifests, and CI/CD logs for compliance evidence.

Inspect repository
AI Engineering & Governance Practice

AI Safety & Governance Platform

Model monitoring, drift and bias detection, and policy checks with audit trails to support responsible AI programs aligned to OMB M-24-10.

Inspect repository

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Prime contractor accountability. Specialized technical delivery. Measurable mission outcomes.