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As AI moves from pilots into core products and operations, leaders need two things at the same time: operational consistency and security governance.
LiteLLM provides the operational foundation. It standardizes how AI is run across models and teams, with logs, tracing, analytics, budgets, and feedback signals that make day-to-day operations predictable.
Levo builds on top of that foundation. We bring security-grade runtime visibility and enforceable guardrails to the same control point, so organizations can scale AI faster with fewer risks and less friction between engineering and security.
This integration replaces AI uncertainty with visibility and control, so AI becomes a governed business capability, not a brand liability.
What Levo Adds to LiteLLM: Runtime AI Visibility
LiteLLM already gives teams a clear operational record of AI usage. Levo turns that operational record into governance visibility that leadership can act on.
With Levo integrated with LiteLLM, you can:
- See what exists: Discover AI assets in use across third-party and internal environments, including models, agents, and tool layers such as MCP servers.
- See how risk moves: Trace how data and actions flow through the runtime chain, including downstream tools and APIs, so exposure is identified early.
- Restore accountability: Clarify who initiated an action and what executed it in autonomous workflows, so audits and investigations are faster and less disruptive.
- Understand capacity and exposure: Map capabilities and concentration of usage so high-risk or business-critical AI components are governed appropriately.
AI, therefore, stops being a blind spot. It becomes a system you can understand, govern, and scale with confidence.
LiteLLM Guardrails Powered by Levo: Protect AI Without Slowing Delivery
LiteLLM provides the practical enforcement point. Levo provides the security policies and protections that reduce risk while maintaining speed.
Start with out-of-the-box guardrails that address the most common enterprise risks:
- Prompt injection and jailbreak attempts
- Sensitive data exfiltration
- Secrets and credential leakage
- Harmful content moderation
Then tailor guardrails to your business requirements as adoption expands. This is where governance becomes enterprise-ready. For example:
- Restrict access to specific models by team, region, or business unit
- Enforce GDPR-style constraints for EU citizen data handling
- Apply HIPAA-aligned protections when workflows involve PHI
This way, Security becomes an enablement layer. Teams can ship AI faster because policy is applied consistently and evolves without forcing rework across every app and workflow.
This integration is designed to improve outcomes that matter at the executive level:
- Higher engineering velocity: governance does not become a delivery tax.
- Faster rollout of differentiated AI products: with confidence in operational control and risk posture.
- Less platform fragmentation: fewer one-off AI stacks and fewer hidden risks as adoption spreads.
Faster path from pilots to production: because uncertainty is replaced with visibility and enforceable policy.
Get started
If you are already standardizing AI traffic through LiteLLM, you can now layer Levo’s runtime visibility and guardrails on top to move faster with stronger governance.
Speak to an engineer today
