About
Levo.ai is an enterprise-grade runtime application security platform built to secure both traditional APIs and modern AI-native applications. Unlike legacy tools that rely on static scans or edge filters, Levo captures real-time context — including auth scopes, machine-to-machine identities, and data flows — to expose genuine risk across the entire application mesh. The platform covers two core pillars: **API Security** and **AI Security**. On the API side, Levo provides API inventory discovery, continuous monitoring, vulnerability detection, sensitive data discovery, and auto-generated API documentation. For AI workloads, Levo offers visibility into LLMs, RAG pipelines, AI agents, and MCP servers, with dedicated modules for AI threat detection, AI attack protection, AI red-teaming, and an AI gateway/firewall. Levo's architecture is powered by an efficient, privacy-first data processing engine that samples only minimal necessary data, making it suitable for compliance-sensitive industries like banking, insurance, fintech, and healthcare. It integrates natively into CI/CD workflows and runtime observability stacks, enabling security teams to enforce guardrails without blocking developer velocity. Recognized by Gartner's Market Guide for API Protection and winner of multiple industry cybersecurity awards, Levo.ai is trusted by engineering leaders, security leaders, and compliance teams at enterprises worldwide looking to scale secure API and AI adoption.
Key Features
- Runtime API Discovery & Inventory: Automatically discovers all APIs across your environment at runtime, building a continuously updated inventory with auto-generated documentation and sensitive data mapping.
- AI Security & Governance: Monitors and governs LLMs, RAG pipelines, AI agents, and MCP servers with real-time threat detection, attack protection, red-teaming capabilities, and an AI gateway/firewall.
- Unified Runtime Security Graph: Stitches APIs, agents, LLMs, and MCP servers into one runtime graph to govern entire workflows, chains, and recursive calls end-to-end rather than in isolation.
- CI/CD & Observability Integration: Embeds directly into CI/CD pipelines and runtime observability stacks, enforcing security guardrails without requiring architectural rewrites or slowing developer workflows.
- Privacy-First Data Engine: Captures and processes only the minimal data necessary for security insights, supporting compliance with regulations in banking, fintech, insurance, and healthcare industries.
Use Cases
- A fintech company uses Levo.ai to continuously discover and monitor all internal and external APIs in production, automatically detecting sensitive data exposure and compliance violations in real time.
- A healthcare enterprise deploys Levo's AI security modules to govern LLM-powered clinical assistants, monitoring for prompt injection attacks and ensuring patient data is never leaked through AI pipelines.
- A security team at a bank uses Levo's AI red-teaming and threat detection to proactively test AI agents and MCP servers before deploying them in customer-facing workflows.
- A platform engineering team integrates Levo into their CI/CD pipeline to enforce API security guardrails automatically during deployments, reducing manual security review overhead.
- A CISO at an insurance company leverages Levo's unified runtime security graph to gain end-to-end visibility into recursive API chains and agentic workflows, satisfying audit and compliance requirements.
Pros
- Comprehensive API + AI Coverage: One of the few platforms that unifies traditional API security and modern AI/LLM/agent security in a single runtime control plane, eliminating blind spots from siloed tools.
- Context-Rich Runtime Visibility: Captures auth scopes, identities, and data flows in real time — providing far deeper context than static scans or edge filters for accurate risk detection.
- Industry Recognition & Compliance Readiness: Featured in Gartner's Market Guide for API Protection and purpose-built for regulated industries like banking, insurance, fintech, and healthcare.
- Developer-Friendly Integration: Integrates into existing CI/CD and observability workflows without requiring major architectural changes, keeping security from becoming a bottleneck.
Cons
- Enterprise-Focused Pricing: No self-serve or transparent pricing is publicly listed; access requires booking a demo, making it less accessible for smaller teams or individual developers.
- Complexity for Smaller Deployments: The platform's breadth of features and enterprise architecture may be more than necessary for startups or small teams with simple API footprints.
- Learning Curve for AI Security Features: Advanced AI security capabilities like MCP security testing and AI red-teaming require familiarity with modern AI application architectures to configure and interpret effectively.
Frequently Asked Questions
What makes Levo.ai different from traditional API security tools?
Unlike legacy tools that rely on static analysis or edge filters, Levo operates at runtime — capturing real-time context like machine-to-machine identities, auth scopes, and data flows across both APIs and AI assets. This allows it to detect dynamic and emergent threats that static tools miss entirely.
Does Levo.ai support securing AI agents and LLMs?
Yes. Levo includes dedicated AI security modules for LLMs, RAG pipelines, AI agents, and MCP servers — with features for AI visibility, monitoring and governance, threat detection, attack protection, red-teaming, and an AI gateway/firewall.
Which industries does Levo.ai serve?
Levo is purpose-built for compliance-sensitive industries including banking, insurance, fintech, healthcare, and retail — offering privacy-first data processing to help organizations meet regulatory requirements while securing their API and AI stacks.
How does Levo.ai integrate into existing development workflows?
Levo integrates directly into CI/CD pipelines and runtime observability stacks. It is designed to be embedded rather than bolted on, enforcing security guardrails without requiring architectural rewrites or adding friction to developer workflows.
What is MCP Security and why does it matter?
MCP (Model Context Protocol) servers are a key part of modern agentic AI architectures. Levo provides dedicated MCP discovery and security testing to identify vulnerabilities in these components before they can be exploited, addressing a gap that traditional security tools don't cover.
