Levo
Levo helps engineering, security, and compliance teams discover, test, monitor, and protect APIs and AI application components at runtime. It connects runtime visibility with security testing, threat detection, and inline enforcement.
Who it's for
- Security teams protecting API-heavy applications that need runtime discovery, monitoring, and testing.
- Engineering teams building AI-native applications with agents, LLMs, or MCP servers that need security checks in development and runtime workflows.
- Compliance leaders in regulated environments who need ongoing visibility into application risks and sensitive data.
How it fits your workflow
Levo observes runtime activity to discover APIs, agents, LLMs, MCP servers, vector stores, identities, and data flows. The page describes eBPF-powered visibility and says the platform builds a runtime graph of connected assets and workflows.
Teams can dynamically test APIs and AI applications, monitor for drift, anomalies, and policy violations, and detect sensitive data in API and AI traffic. The page says testing findings are tied to runtime context and traffic traces.
Levo can enforce protection inline and is described as integrating into CI/CD and runtime observability workflows.
Pricing
The vendor doesn't publish prices. Check with Levo directly.
Prices checked on Nov 11, 2026 from the vendor's site. They can change; confirm before you buy.
Key features
- Unified runtime visibility
- Discovers and inventories APIs, AI agents, MCP servers, LLMs, and vector stores using eBPF-powered runtime visibility, and surfaces observed flows and dependencies.
- Offensive security testing
- Dynamically tests APIs and AI applications, including agents, LLMs, and MCP servers, for issues such as prompt injection, tool abuse, collusion, and misconfigurations.
- Continuous monitoring and governance
- Tracks drift, anomalies, and policy violations across agents, LLM sessions, MCP orchestration, and API calls, including human and non-human identities.
- Sensitive data detection and protection
- Detects PHI, PII, and secrets in API payloads, AI prompts, embeddings, and vector queries. The page says this detection occurs without sending the data to the cloud and describes inline enforcement.
- High-signal threat detection
- Surfaces validated risks across AI and API environments, including agent misuse, LLM drift, MCP connector abuse, and API exploitation.
- Vulnerability remediation
- Connects vulnerabilities in APIs, agents, MCP servers, and LLMs to real traffic traces; the page also describes MCP-generated and custom patches.
Works with
- CI/CD
- Runtime observability
Getting started
- Book a product demo through the Levo website.
- Consult the Docs listed in the site navigation.
- Assess how to integrate Levo into CI/CD and runtime observability workflows.