SAMDAMMission Partners
Federal AI Assurance & Secure Delivery

Deploy AI only where it’s justified — and make every output defensible.

SAMDAM Mission Partners designs secure, auditable AI and cloud systems for federal mission environments. Our flagship IP, Sourcine, treats the model as an untrusted component — facts come from authoritative records, not the model.

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TS clearance
25+ yrs federal delivery
IC · Navy · DOD lineage
Federal & Commercial

Built for federal missions. Adapted for regulated commercial operations.

SAMDAM supports federal programs that require secure, auditable AI — and commercial organizations that need governed automation for compliance, security, proposals, contracts, and operational knowledge workflows.

Federal

Federal AI assurance & secure delivery

Federal teams use SAMDAM for RMF, ATO, GovCloud, and mission assurance — AI and cloud systems that hold up under security, legal, and authorization review.

Federal AI Assurance
Commercial

Commercial AI governance

Commercial teams use SAMDAM for AI governance, audit-ready evidence, security questionnaire automation, controlled knowledge reuse, and defensible business outputs.

Commercial AI Governance
From the research

The deterministic-first pattern, validated in an 18-month production study.

0
LLM-sourced protected-field errors in any accepted output, across the study.
10,000
federal compliance artifacts analyzed — NIST SP 800-53, 800-171, CNSSI 1253.
18 mo
observational production deployment the findings are drawn from.

Findings from the deterministic-first research study — an observational production deployment within a bounded protected-field scope, not a controlled benchmark. SHA-256 audit verification recorded zero detected failures across all 10,000 artifacts. Sourcine productizes the architecture the study describes.  See the study →

What we do

Federal solutions, delivered with evidence.

We build and secure mission systems end to end — from cloud architecture and RMF acceleration to AI that holds up under security, legal, and authorization review.

01 · AI & compliance automation

Compliance work, automated and auditable

Production AI pipelines that automate NIST RMF assessment, control documentation, and vulnerability management — with deterministic validation gates that block AI-fabricated guidance.

02 · Secure cloud architecture

AWS & Azure GovCloud, hardened by design

Authorization-boundary design, IAM and KMS hierarchies, and STIG/CIS-hardened baselines for FedRAMP-authorized and air-gapped environments.

03 · RMF & ATO acceleration

Faster paths to authorization

Traceability, control mapping, and OSCAL-ready evidence produced during delivery — cutting assessment timelines while strengthening the authorization package.

04 · Secure AI delivery & governance

AI you can defend in review

Source-bound retrieval, citation enforcement, fact/synthesis labeling, and tamper-evident audit trails — the controls that keep model output from reaching an operational decision unchecked.

Sourcine
Flagship IP of SAMDAM Mission Partners

The model is not the authority of record.

A requirements-driven secure delivery and runtime assurance platform. Facts are bound to authorized sources before any model runs; the model may refine style, never author a fact, citation, or identifier.

In production today: PursuitGuard and Structured JSON Extractor — commercial products built on Sourcine.

Explore Sourcine →
RG

Requirements Generator

Turns plain-language mission needs into reviewable BRD/PRD/SRS/TDD and a candidate compliance framework before any build begins.

CD

Conductor

A security-gated delivery engine — six phases, six pass/fail gates. A failed gate blocks progression until it’s corrected or formally dispositioned.

VR

Veritas

Deterministic-first runtime for AI-assisted output: source binding, citation enforcement, fact/synthesis labeling, protected-field validation, and audit commit (G0–G5).

Research

Our point of view, written down.

The architecture behind Sourcine, documented as a technical paper for the federal and regulated-industry community.

Technical Paper

Deterministic-First Generation for Protected-Field Integrity in Federal Compliance Documentation

RAG reduces hallucination; it cannot eliminate it, because output formation stays stochastic. Deterministic-First inverts the flow — responses are composed programmatically from version-controlled authoritative sources before any optional LLM invocation, which is reduced to a constrained style-only refiner behind a fail-closed validation gate.

0
accepted outputs with an LLM-sourced protected-field delta, over 18 months.
1.0%
of refinement attempts rejected for introducing unauthorized entities (40 / 4,000).
80%
of queries resolved with LLM invocation suppressed entirely by the pre-refinement gate.
“Plausible language without traceable provenance is equivalent to being wrong.”
Read the paper →
Who leads the work

Built by a federal practitioner, not a vendor.

DM

David McCaskill

Founder · Principal AI Solution Architect & Cybersecurity Engineer

Twenty-five years architecting federal compliance automation, cloud security, and AI/ML systems for classified and air-gapped environments. He designs multi-agent AI pipelines deployed inside FedRAMP-authorized boundaries with zero external cloud-AI dependencies, and the deterministic validation gates that keep AI-fabricated guidance out of compliance work — the architecture now formalized as Sourcine. Prior program and engineering leadership spans the Intelligence Community (IC), U.S. Navy, and DoD.

TS Clearance
Start here

Start with an assessment.

We characterize your mission, data sources, query profile, and assurance requirements — then scope a pilot against an approved source set. No speculative AI, no compliance theater.

Request an assessment
samdam.biz 301.904.1660 info@samdam.biz