Make AI audit-ready
Launching or deploying an AI system is just the beginning of the work. Governance is the continuous practice of making sure your AI system behaves the way you said it would, not just on day one, but every day after. Compliance is the structured proof that the system has complied with the governance rules.
Swept builds and monitors the governance infrastructure and produces the documentation, a compliance-ready Trust Report, that makes that work reviewable, shareable, and readily available.
This turns governance from a tool-limiting bottleneck into an enabler of scaling: more AI support, complete with proof.
Governance and Compliance Work Together
Swept begins by building out a Governance framework that provides risk enforcement to define what your system is and is not allowed to do, defines access controls to determine who can change and use it, and logs what the AI is doing. This takes into consideration relevant state-specific regulatory requirements, so you meet them without having to hire a dedicated compliance team or build from scratch.
A Compliance Trust Report is a structured, board-ready report and audit trail. It provides reviewable, readily-available proof of well-governed AI that can be used for security reviews, RFPs, renewals, and audits.
What We Do
Monitor vendor AI
Swept monitors the various AI tools deployed to your team, not just the models you build on. If a vendor updates their model or changes behavior, you know and can address any complexities. Sophisticated systems like AI agents may benefit from Swept's AI Supervision.
Define risk appetite
You define what your system is allowed to do. Swept walks you through your range of options and can guide you toward the decisions best suited to your business.
Enforce risk limitations
We enforce the boundaries you define and route alerts when usage approaches or crosses them.
Set role-based access controls
You identify and we set up rules for who can adjust thresholds, approve changes, and access sensitive outputs.
Select what to summarize
You select an evaluation run or a live supervision period, including the agents, models, prompts, datasets, and environments in scope. We pull from what already exists, with no manual data entry.
Add controls and ownership
We attach documentation for the security and process controls in place: system owners, reviewers, escalation contacts, and links to incidents and their mitigations. The report reflects how the system is actually governed.
Generate the Trust Report
We compile scope, thresholds, methods, and outcomes into a readable report. Appendix sections hold the underlying evidence for reviewers who want to go deeper.
Share and track
Share via private link with access controls, assign reviewers, capture comments, and timestamp sign-offs. Export to PDF at any time, so you are always ready for a compliance check.
Monitor vendor AI
Swept monitors the various AI tools deployed to your team, not just the models you build on. If a vendor updates their model or changes behavior, you know and can address any complexities. Sophisticated systems like AI agents may benefit from Swept's AI Supervision.
Define risk appetite
You define what your system is allowed to do. Swept walks you through your range of options and can guide you toward the decisions best suited to your business.
Enforce risk limitations
We enforce the boundaries you define and route alerts when usage approaches or crosses them.
Set role-based access controls
You identify and we set up rules for who can adjust thresholds, approve changes, and access sensitive outputs.
Select what to summarize
You select an evaluation run or a live supervision period, including the agents, models, prompts, datasets, and environments in scope. We pull from what already exists, with no manual data entry.
Add controls and ownership
We attach documentation for the security and process controls in place: system owners, reviewers, escalation contacts, and links to incidents and their mitigations. The report reflects how the system is actually governed.
Generate the Trust Report
We compile scope, thresholds, methods, and outcomes into a readable report. Appendix sections hold the underlying evidence for reviewers who want to go deeper.
Share and track
Share via private link with access controls, assign reviewers, capture comments, and timestamp sign-offs. Export to PDF at any time, so you are always ready for a compliance check.
What You Get
Compliance logging
Every interaction, decision, and configuration change is logged before your first project goes live. The record exists from day one and is maintained and operationalized, not just documented.
Live application index
A running inventory of every AI application in your environment: what it does, who owns it, and what data it touches. We also detect Shadow AIs, the industry term for AI tools your employees may be using without explicit company approval. Risk assessments stay current as your environment changes, so your compliance posture reflects reality.
Governance-compliant AI tooling
AI tools are deployed inside a private, white-labeled interface that you control, with your specific governance guardrails built in. This is what allows you to scale safely past the handful of tools that limit most regulated industries.
Trust Report
A board-ready report and audit trail that compiles everything reviewers need:
- •Overview: purpose, scope, models, prompts, datasets, environments, and date ranges
- •Method summary: tasks, graders, metrics, thresholds, sample sizes, and baselines
- •Summary of control: data handling, privacy, change management, incident response, and responsible AI notes
- •Ownership clarity: system owners, reviewers, escalation contacts, and version history
- •Overall results: accuracy, hallucination rate, safety flags, bias indicators, latency, cost, and pass/fail against pre-defined thresholds
Additional compliance workflows
Extra capabilities your team can layer on as compliance complexity grows:
- •Framework mapping: align governance controls and test results to common AI framework categories (ISO 42001, NIST AI RMF) without implying certification
- •Sharing controls: role-based permissions, watermark options, link expiry, domain allow lists, SSO enforcement, and redaction rules for sensitive content
- •Reviews and approvals: assign reviewers and capture comments and decisions with timestamps
- •Checklists and gates: define required sections and evidence, and block publishing until items are complete
- •Renewals and changes: start from a previous satisfactory report, highlight what changed since the last approval, and keep the full history for audits