The runtime controls and evidence behind the NIST AI RMF.
The NIST AI Risk Management Framework organizes AI risk into four functions: Govern, Map, Measure, and Manage. Swiftward gives you the enforced controls and the replayable evidence behind three of them - Govern, Measure, and Manage - at runtime. The fourth, Map, is organizational work that stays with you, and we say which is which.
Voluntary, and there is no certification
The AI RMF is a voluntary framework, not a standard you certify against. Anyone selling you "NIST AI RMF certified" is selling something that does not exist. What the framework gives you is a shared language for managing AI risk, and a set of functions to perform. Swiftward does not make you compliant with it - nothing does. What Swiftward does is operationalize those functions in production and produce the evidence behind them, so the work your governance program describes is actually enforced and provable, not just documented.
Manage - acting on risk in production
This is Swiftward's home turf. Every AI decision runs through one policy engine that allows, blocks, redacts, or routes it; flagged cases go to a human-in-the-loop queue with escalation and timeouts; a bad policy rolls back in one step; nothing is silently lost, because a dead-letter queue and replay let you recover and re-run. Decisions and audit events forward to your SIEM. Manage is "respond, recover, and monitor," continuously, and that is what a runtime control plane does.
Measure - assessing risk with evidence, not assertion
Before a control ships you run it in shadow mode and A/B it against live traffic with no effect applied, and you backtest it against your own historical traffic to see what it would have changed. After it ships, every decision leaves a full trace, and you can replay any past decision on the exact policy version that was live. Measure is "assess, analyze, and track," and Swiftward gives you the measurement and the record, not a claim.
Govern - the enforced backbone, not the whole function
Govern is the policies, roles, accountability, and oversight that hold the other functions together. Swiftward provides the enforced, technical backbone for it: policy as versioned code with a draft, candidate, frozen, and archived lifecycle and approvals; layered RBAC and ABAC with separation-of-duties checks; and a tamper-evident audit of every change, with who, when, and the before-and-after. What stays with you is the organizational half - the accountability structure, the risk culture, the people and committees. We make the governance you define enforceable and auditable; we do not own it.
Map is your work, not ours
Map is establishing context, categorizing your AI system, and identifying its risks and impacts on people and rights. That is organizational analysis your team and counsel do, usually before a control is written. Swiftward does not do it for you, and a vendor that claims to is overreaching into your judgment. What we do is produce the runtime records - the decisions, the signals, the overrides - that feed your mapping and impact assessments with fact instead of assumption. No tool makes an organization NIST-aligned; alignment is organizational, and that work stays with you.
Generative and agentic AI
NIST extends the framework to generative and agentic systems through dedicated profiles. That is exactly the layer Swiftward governs: the runtime behavior of AI agents and the LLM calls behind them, controlled and recorded the same way.