Industries · Federal · Record Substrate
Your AI agents are acting inside an authorization boundary an auditor will ask you to account for.
Federal agencies are moving agentic systems into production inside their authorization boundaries. FISMA and NIST 800-53 expect an attributable record of that action. Built by a veteran-led team, the substrate produces it, inside your own boundary, designed to run air-gapped.
§ 01 The problem
Agents are acting inside the boundary. The trail is not.
The moment AI agents coordinate, handing work between models, tools, and humans, the trail of what acted inside the authorization boundary disappears. That is not only a technology problem. It is an accountability problem with audit consequences.
Who acted, under whose authority, and can you show an auditor? Agent handoffs leave no reviewable record. Action history lives inside vendor APIs, so when a model changes, the record changes with it, if it survives at all.
That is an operator problem. Subnet345 is built by a veteran-led team that runs a governed multi-agent operation every day.
§ 02 Why now
Can you account for what your agents did inside the boundary?
AI agents moved from controlled pilots to production faster than any previous federal technology. The governance acceptable in a pilot is not acceptable inside an authorization boundary. The audit floor is rising at the same time.
2023 to 2024
Pilots. Agents outside the boundary.
Single models in sandboxes, isolated from systems of record. The accountability question had not arrived because agents were not yet acting inside the authorization boundary.
2025 to 2026 · Now
Production. Agents act inside the boundary.
Multi-agent workflows act on federal systems. OMB policy requirements for high-impact AI are in effect, and the obligation to attribute action inside the authorization boundary is live.
2026 to 2027
Enforcement. The auditor asks.
The NIST 800-53 audit and accountability controls expect a complete, reviewable trail, and agent-specific control overlays for 800-53 are in development. The obligation to prove what an agent did inside the boundary arrives before the overlay that names it.
The audit question
If an agency inspector general asked you to reconstruct every action your agents took inside your authorization boundary last quarter, what would you show them?
§ 03 Use cases
Where the substrate lands first.
An attributable record is the precondition for deploying agents inside an authorization boundary at all. The agencies that build governed AI agents first carry an advantage into every audit that follows.
Mission work inside the boundary
Agents that draft, review, and reconcile against federal systems of record, with access attributed and reviewable. Throughput on the mission without losing the trail an audit expects.
In-perimeter and disconnected operation
Coordination, policy, and the record run inside your authorization boundary. The substrate is designed to run air-gapped: once installed, the substrate needs no route out, so it fits environments that cannot reach the open internet. An offline install path is on the roadmap.
Agency and contractor accountability
Shared accountability across handoffs: which agent acted, under whose authority, against which system. The record survives the seams between agencies, contractors, and systems.
§ 04 Against the frameworks
Measured against what the audit expects.
FISMA, the NIST 800-53 baseline, and the AI Risk Management Framework point toward a common expectation: action inside the boundary must be attributed, reviewable, and kept where the system is authorized. This material does not constitute legal or regulatory advice, and Subnet345 holds no FedRAMP authorization or ATO. Assess your obligations with your assessor.
Sources: FISMA (44 U.S.C. 3551); NIST SP 800-53 (Rev 5); NIST AI RMF (AI 100-1); OMB M-25-21 & M-25-22. Regulatory mapping reviewed: August 2026. Informational, not legal advice.
§ 05 What we ship
The substrate, run by the team that operates one every day.
Subnet345 builds and operates the record substrate for AI agents. We do not advise on governance from the outside. We run an audited multi-agent operation ourselves, inside our own perimeter, on the same substrate we would stand up in yours.
01 / Preserve
Action inside the boundary
02 / Reconstruct
Who, what, under whose authority
03 / Avoid lock-in
Keep governance portable
Result
Audit-ready always
Built by a veteran-led team
The founding team includes U.S. Navy and U.S. Army veterans and operators who ran the infrastructure beneath national-scale security systems. We build for this environment because we came from it.
Immerse before we onboard
We stand the platform up inside your environment first, with your operators, against your telemetry, before you commit to a full rollout. We prove it before we scale it.
Transfer is the deliverable
You should be able to operate the platform without us at any point and keep running. We prove that condition before we step back, not in a proposal.
§ 06 Onboarding
How onboarding starts.
Every rollout begins with a structured conversation and ends with a transfer. No open-ended dependency, no shadow team after the sale. The engineer who stands the platform up is the one who trains your team.
Initial conversation · 45 minutes
Understand your current AI agent program, where it acts inside the authorization boundary, and whether this is the right fit for both organizations.
Governance assessment · Structured
A structured evaluation of your AI deployments against audit, incident, and accountability requirements, run inside your environment.
Design partner program
Early federal organizations become design partners, shaping the platform alongside the team that operates one every day.
Related
Adjacent sectors, and the substrate itself.
The question we help you answer
Can you prove what your agents did inside the boundary, and under whose authority?
If you cannot answer that today, and an auditor asks it tomorrow, Subnet345 is the substrate that changes that answer, inside your own boundary.