Govern your AI agent orchestration layer
Orchestration gets agents working together. Roval ensures they work safely, with risk classification, policy enforcement, and audit trails built for complex agent pipelines.
Orchestration platforms coordinate agents. They do not govern them.
Orchestration platforms coordinate how agents work. They define the sequence, handle handoffs between agents, manage shared state, and route tasks through multi-step pipelines. What they do not do is govern whether those agents should be running, what they should be allowed to access, or who approved them for production.
As agent pipelines grow in complexity, the governance gap compounds. 57% of organizations already deploy multi-step agent workflows, and 16% have progressed to cross-functional AI agents spanning multiple teams. A single unreviewed agent in a chain can create downstream risk across every connected system.
Post-incident analysis of recent agent-involved breaches found that 78% of compromised agents had significantly broader permission scopes than their function required.
Digital Applied, 2026In a multi-agent pipeline, that over-permissioning propagates through the entire chain. Your orchestration framework handles coordination. Roval handles governance.
Five governance capabilities for orchestrated agents
Roval is not a replacement for your orchestration layer. It is the governance, risk, and compliance layer that sits above it.
Risk classification for orchestrated agents
Classify individual agents and multi-agent pipelines by risk tier. Roval accounts for chain-level risk: a low-risk agent connected to a high-risk data source changes the risk profile of the entire pipeline. Each classification is documented, timestamped, and mapped to EU AI Act and NIST AI RMF categories.
Policy enforcement at the pipeline level
Set governance rules that apply to agent chains, not just individual agents. Control tool access, external API calls, and data handling across the full orchestration flow. 75% of enterprise leaders cite security, compliance, and auditability as the most critical requirements for agent deployment. Violations fire alerts within 30 seconds.
Observability and behavioral monitoring
Track what agents are doing inside your orchestration layer. Not just configuration, but actual runtime behavior. Drift detection runs every 15 minutes. The LLM Request Proxy captures every call with less than 1ms overhead. 88% of organizations have reported confirmed or suspected AI agent security incidents in the past year.
Approval gates for orchestrated deployments
Route complex agent pipelines through risk-appropriate review before deployment. High-risk pipelines require explicit approval. Every decision is recorded: who approved, when, and under what conditions.
Compliance documentation for orchestrated systems
Export audit-ready records that cover the full orchestration architecture: inputs, outputs, tool use, and human oversight checkpoints. One-click reports for EU AI Act, NIST AI RMF, SOC 2, and internal policy audits. See the AI audit tool.
Works alongside the orchestration frameworks your teams already use
Your team should not have to choose between their orchestration framework and a governance layer. Roval governs what those frameworks produce, regardless of which one your teams chose.
Monitoring without policy enforcement is visibility without control
Many enterprises start with observability: monitoring agent behavior, logging requests, tracking token usage. That is necessary, but it is not sufficient. IBM found that 97% of organizations experiencing AI-related security incidents lacked proper AI access controls, despite many having basic monitoring in place.
Roval combines both: deep ai agent observability with the policy and compliance layer that turns visibility into enforceable governance. Observability tells you what agents are doing. Governance tells you what they are allowed to do, and creates the audit trail proving you enforced it.
Three ways teams govern orchestrated agents with Roval
Pre-production risk review
Gate complex agent pipelines behind automated risk scoring before any production deployment. Roval scores the full chain in under 2 minutes. Every agent in the pipeline must meet classification requirements before the pipeline goes live.
Runtime compliance monitoring
Continuous monitoring of orchestrated agents for policy violations and behavioral anomalies. Drift detection runs every 15 minutes. Violations fire alerts within 30 seconds.
Post-incident audit
Reconstruct exactly what an agent chain did, when, and with what permissions, for incident response or regulatory inquiry. The EU AI Act's Article 12 requires automatic recording of events for high-risk systems. Roval produces that record automatically.
See how Roval governs your orchestrated agent pipelines
Request a demo. Setup takes under 10 minutes.