FORTEM · Federal & Defense

Governing AI where it can't reach the internet

In a federal or defense setting, an AI governance failure isn't a support ticket, it can be a national-security event. The systems are sensitive, the data can't leave the boundary, and "we'll review the logs next week" is not an answer. FORTEM brings runtime enforcement to that environment: every AI output checked against the rule in the live path, with a forensic, immutable audit trail, and able to run completely air-gapped, with no internet required.

The federal authorization landscape is itself being rebuilt around continuous evidence. FedRAMP 20x, the modernization of the federal cloud program, authorized under the 2022 FedRAMP Authorization Act, replaces the old document-centric, point-in-time review with continuous, machine-readable validation against running systems and a set of measurable "Key Security Indicators." It is rolling out through 2026 and 2027 (including a 2026 shift in nomenclature from "authorization" to "certification"), pushing toward streaming, automated evidence rather than annual paperwork. An enforcement layer that already produces a continuous, machine-readable, tamper-evident record of every AI decision fits that direction natively.

Sovereignty is the other hard requirement. Data residency and control aren't preferences here; they're conditions of operation. FORTEM is built to run inside the boundary the mission demands, a sovereign cloud such as AWS GovCloud, or a fully air-gapped deployment with no external connectivity at all. The enforcement, the audit trail and the escalation logic operate the same whether the system can see the internet or not.

The escalation logic matters as much as the deployment. Not every output needs a person, and stopping everything at a human gate doesn't scale to operational tempo. FORTEM grades each output by risk: clean outputs pass under monitoring, flagged ones wait for approval, and high-risk ones are held and escalated to a person in command who decides, with nothing in the record overwritten, not even by them. That is what auditable, accountable AI looks like where every decision may later have to be reconstructed.

FORTEM enforces; it does not certify. It exists to make sure that in the places where an AI error is least forgivable, every output has been checked against the rule, proven, and, when it matters, put in front of a human who decides.