AI agent governance for platform engineering teams
Your teams deploy agents across LangChain, CrewAI, AutoGen, and custom frameworks. Multiple models, multiple environments, zero visibility. Roval gives you one registry, one compliance layer, and full LLM cost attribution across everything.
Engineering teams ship agents faster than security teams can review them.
more AI agents than their governance team knows about. The average SaaS company has deployed more agents than anyone can account for. Frameworks diverge, environments multiply, and nobody owns the inventory.
"Every team picks their own framework, their own model, their own deployment pattern. By the time you standardize, there are 40 agents in production and nobody owns the inventory."
"Your SOC 2 auditor asks for a list of AI systems, their risk classifications, and evidence of controls. You open a spreadsheet that was last updated three months ago."
"LLM API costs show up as a single line item on the cloud bill. You can't attribute spend to teams, agents, or use cases, so nobody optimizes."
Compliance frameworks for technology companies
Every enterprise customer asks for SOC 2. The EU AI Act is coming. Get ahead with pre-mapped requirements.
Trust service criteria your enterprise customers require. Map agent governance controls to SOC 2 requirements automatically.
The emerging standard for AI management systems. Demonstrate governance maturity to enterprise buyers.
If you sell to EU customers, the AI Act applies. Risk classification, transparency, and human oversight requirements.
Data processing agreements, consent, and right to explanation for AI systems handling EU user data.
California consumer privacy rights: opt-out, deletion, and disclosure requirements for AI systems.
Voluntary risk management framework increasingly referenced in enterprise procurement requirements.
Pre-built policies for engineering teams
Ship policies as fast as you ship agents. Start from a template, customize, activate.
Blocks access to credentials, secrets, and system directories. Prevents destructive shell commands. Enforces read-only on configuration files.
Token spend limits per agent, model allow-lists, and automatic alerts on spend spikes above configurable thresholds per team.
Detects emails, phone numbers, SSNs, and credit card numbers in prompts. Blocks PII from reaching external model APIs.
Detects role-override attempts, system prompt leaks, and instruction-ignoring sequences. Alerts on suspicious prompts.
Blocks large payloads to external URLs, base64-encoded bulk exports, and credential harvesting patterns.
Enforces tenant context in every agent interaction. Prevents cross-tenant data access and prompt contamination.
Built for the way your teams actually work.
One registry across every framework
LangChain, CrewAI, AutoGen, custom Python: it doesn't matter. Every agent gets registered with its framework, model, owner, and risk tier. Search by natural language.
LLM cost attribution by team
See exactly which teams spend what on which models. Set budget alerts. Identify optimization opportunities before the CFO does.
SOC 2 readiness on autopilot
Evidence collection runs continuously. Agent registrations, risk classifications, policy enforcements, and LLM monitoring logs feed directly into your SOC 2 evidence package.
Everything you need in one place.
Agent Registry
Register every agent with framework, model, owner, risk tier, and dependency graph. Enforce lifecycle gates from draft to production.
Compliance & Certification
Certify agents against SOC 2, EU AI Act, ISO 42001, and more. Auto-expiry by risk tier. Drift detection every 15 minutes.
Observer & LLM Monitor
Capture every tool call and LLM request. Flag PII and policy violations in under 30 seconds. Full cost attribution by agent.
Dashboard
KPI cards, compliance posture, drift alerts, and a live event feed, on one screen, updated in real time.
Start governing your AI agents
Join the private beta. Full inventory and compliance setup takes under 10 minutes.