Classify, monitor, and govern every AI agent without the spreadsheet
Register agents in under 2 minutes. Score risk across four dimensions. Enforce policy at the agent level. Export audit reports in one click.
AI agents are outpacing governance
Enterprise teams are shipping autonomous AI agents faster than governance programs can track them. Deployment velocity is not slowing, but governance maturity remains well behind. Most organizations lack systematic inventories of the agents already in production.
"40% of enterprise applications will embed task-specific AI agents by the end of 2026, up from less than 5% in 2025."
Gartner, 2025The EU AI Act's high-risk obligations become enforceable in August 2026. The NIST AI Agent Standards Initiative is actively shaping expectations for how autonomous systems must be documented, assessed, and controlled. Both frameworks assume you know what agents you have and that you can demonstrate governance.
Existing GRC tools were built for cloud configurations and human workflows. They have no native understanding of agent-specific risks: tool access, autonomy level, multi-step decision chains, and downstream system connections.
Three capabilities. One platform.
Each capability addresses a specific governance gap. Together they replace the spreadsheet, the Slack channel, and the quarterly manual review.
Risk Classification
Score every agent across four risk dimensions: data sensitivity, decision authority, blast radius, and regulatory exposure. Roval assigns a tier in under 2 minutes and maps it directly to EU AI Act Article 6 categories and NIST AI RMF functions.
Read more about risk classificationPolicy Enforcement
Define governance rules at the agent level, not the model level. Control what each agent can access, who approves deployment, and what triggers a review. Policies enforce automatically. Violations fire alerts within 30 seconds.
Explore policy enforcementAudit & Compliance
Export audit-ready documentation for every agent in one click. Each report includes risk classification, scoring rationale, permission scope, approval history, and behavioral activity log. Output as CSV, JSON, or structured PDF.
See compliance reportingBuilt for teams that govern AI at scale
Engineering teams
Register agents from LangChain, AutoGen, CrewAI, and custom builds in one inventory. Roval sits above all frameworks, so engineers ship agents and governance tracks them automatically.
Compliance and risk teams
Preparing for EU AI Act compliance, NIST AI RMF alignment, SOC 2 audits, or internal AI policy obligations.
CISOs and security teams
Surface over-permissioned agents and undocumented system access. Roval flags agents with access to production data, PII stores, or financial systems before a breach forces the conversation.
Three steps to governed AI agents
Connect your agent inventory
Roval discovers and registers every AI agent in your environment, regardless of framework, team, or deployment method. Initial scan completes in under 5 minutes.
Classify and score each agent
Each agent is scored across four risk dimensions and assigned a tier in under 2 minutes. High-risk agents are flagged for enhanced review with full scoring rationale.
Enforce policy and generate reports
Governance rules apply continuously. Drift detection runs every 15 minutes. Export audit-ready documentation on demand as CSV, JSON, or PDF.
Three approaches that don't scale
The spreadsheet
Incomplete by the time it's shared. Stale within days. No risk classification, no policy enforcement, no audit trail.
The general GRC tool
Built for cloud configurations and human workflows. No native understanding of agent-specific risks: tool access, autonomy level, downstream system connections.
The hope strategy
No governance at all. Developer judgment and the assumption that nothing will go wrong. Until it does.
Roval replaces all three. A purpose-built ai governance framework for agentic AI.
See how Roval governs your AI agents
Request a demo. Most teams are live in under a day.