Levo.ai
Verified Oct 15, 2026 ActiveRuntime security for APIs and AI agents that discovers endpoints and red-teams them for abuse.
Listed on EffectHub ·
Pricing
- Pricing model
- Contact sales
Priced per API endpoint secured rather than fixed tiers; a custom quote follows a request, typically within a few business days.
Use tool ↗About Levo.ai
Levo.ai is a runtime application-security platform built for both traditional APIs and AI-native systems. It uses eBPF-based sensors to discover and inventory APIs, AI agents, MCP servers, LLMs, and vector stores without requiring code changes, then continuously red-teams those endpoints for issues like prompt injection and tool abuse, watches for configuration drift, and flags sensitive data such as PHI or PII appearing in payloads or prompts. It is aimed at engineering, security, and compliance leaders at companies with enough API and AI surface area that manual review isn't practical, and it markets sensitive-data detection as happening without sending that data to the cloud. Levo Inc. is based in San Francisco, founded in 2021, and prices per API endpoint secured rather than by seats or traffic volume — there is no published price list, only a custom quote request.
- Platforms
- Web
- API
- Not confirmed
- Last verified
- Oct 15, 2026
Is Levo.ai legit?
We don’t label tools safe or unsafe. Below are the records we checked ourselves, each with the date we read it.
- Domain registered
- Feb 11, 2021 (5 years ago)Registry record (RDAP), registrar NameCheap, Inc., looked up Sep 21, 2026
- TLS certificate
- Issued by Google Trust Services, valid until Dec 5, 2026Seen in our own connection to the site on Oct 15, 2026
- Last checked
- Oct 15, 2026The site answered
- On the market since
- 2021The vendor's own material, read by us
- Operated by
- Levo Inc., United StatesOur research, card verified Sep 1, 2026
Pros & cons of Levo.ai
Levo covers ground that's increasingly hard to ignore, not just API security but the AI agents and MCP servers sitting on top of them, and the eBPF discovery approach means it can find things a manual API inventory would miss. The tradeoff is opacity on cost: per-endpoint pricing with no published numbers means it is hard to budget for without going through a sales quote first.
Pros
- Covers AI-native assets (agents, MCP servers, LLMs, vector stores) alongside traditional APIs, not one or the other
- eBPF-based discovery works without requiring code instrumentation
- Sensitive-data detection is positioned as not requiring the data itself to leave the customer's environment
Cons
- No published pricing; every deal goes through a custom quote
- Per-endpoint pricing can be hard to estimate before an audit of a company's own API surface
- Marketing focuses heavily on AI-era threats, so it's less clear how much attention traditional API-only customers get
Best for
- Security teams needing runtime visibility into both APIs and AI agent/MCP traffic in one place
- Compliance teams needing continuous audit evidence rather than periodic manual review
- Organizations already running eBPF-based tooling elsewhere in their stack
Not for
- Small teams or solo developers wanting a self-serve, fixed-price tool
- Anyone needing pricing clarity before engaging with sales