Today we’re announcing the integration of Levo runtime visibility and guardrails integration with Portkey.
Portkey helps enterprises build and scale AI across models and teams. It provides a unified platform for AI operations and governance.
With Levo integrated, Portkey customers can scale faster because AI activity becomes visible, accountable, and governed by policy.
AI adoption is accelerating, but visibility and governance often fragment across teams, models, and providers. Without strong security, AI becomes an operational and reputational risk. Data exposure, policy violations, and unpredictable behavior become more likely.
Enterprises should not have to treat security as another platform migration. With this integration, teams can add security-grade visibility and governance through the same platform where AI is already deployed.
Together, Portkey and Levo help organizations move AI from pilots to production faster. They replace uncertainty with visibility and control.
This helps teams realize AI value faster, reduce the cost of scale, and strengthen trust with customers, regulators, and boards.
What Levo Adds to Portkey: Runtime AI Visibility
Portkey provides the operational signals needed to deploy AI at scale. Levo builds on those signals to deliver security-grade runtime visibility. Leaders can see what AI is in use, where risk concentrates, and how sensitive data and accountability are managed.
What Portkey enables (functional observability foundation)
- Operational record of AI usage through logs and tracing
- Operational insights through analytics and filters
- Operational governance through budget limits and feedback signals
- Operational context through custom metadata for team, environment, and application segmentation
What Levo adds (security-grade runtime visibility)
- Understand AI Usage Across Teams and Models: understand which AI assets are in use, including approved and shadow usage, across third-party and internal components
- Identify Where Sensitive Data Flows in AI Workflows: identify where sensitive data enters AI workflows and where it can propagate across systems
- Map Accountability in Autonomous AI Systems: make it clear who initiated activity and what executed it in autonomous workflows
- Map Capability in Autonomous AI Systems: understand what AI components can do and where exposure risk concentrates
This combination gives teams confidence in production faster. It reduces the likelihood of avoidable incidents. It also produces audit-ready evidence with less disruption.
Portkey Guardrails Powered by Levo: From Baseline to Custom Protection
With Levo Guardrails available in the Portkey ecosystem, teams can add plug-and-play protection. They can also tailor policies as they scale. This standardizes AI governance in the same place where AI operations are managed.
Getting started is simple. Connect Levo in Portkey, choose where you want guardrails applied, and begin with baseline protections. These include prompt injection prevention, jailbreak defense, and sensitive data exfiltration controls.
As needs evolve, teams can create custom guardrails aligned to their environment and compliance requirements. For example, they can restrict access by team or region. They can enforce GDPR-style data handling. They can also apply stricter protections for PHI to support HIPAA requirements.
Faster path to secure AI: guardrails become configuration, not rework. Policies are applied centrally and updated as requirements evolve.
Getting started is simple: connect Levo in Portkey, choose where you want runtime visibility enabled and guardrails applied, and tailor them as your needs evolve.
Get started with AI Security on Portkey Speak to an engineer today
