About Levo.ai
Levo.ai sells a security platform for APIs and AI assets, covering discovery, visibility and protection for API driven systems. Levo discovers and inventories APIs, AI agents, MCP servers, LLMs and vector stores through eBPF-powered runtime visibility. Levo captures auth scopes, identities and data flows across APIs and AI assets. Levo dynamically tests agents, LLMs, MCP servers and APIs for prompt injection, tool abuse, collusion and misconfigurations. Levo tracks drift, anomalies and policy violations across agents, LLM sessions, MCP orchestration and API calls. Levo enforces protection inline across APIs, agents, MCP servers and LLMs.[1][2][9]
Levo says that as enterprises adopted agents, LLMs, MCP servers and autonomous toolchains, traditional edge controls could not see or explain their behavior. Levo describes the resulting risk surface as machine-to-machine calls, prompt injection, data leakage and privilege misuse. Levo applies kernel level visibility, passive observability and dynamic security testing. Levo ties vulnerabilities in APIs, agents, MCP servers and LLMs to real traffic traces. Levo detects PHI, PII and secrets inside API payloads, AI prompts, embeddings and vector queries without sending them to the cloud.
Levo's AI Firewall is a security and compliance layer for in-house AI applications. Levo gives visibility into AI transactions across prompts, agents, tool calls, API calls and downstream actions. Levo applies AI-aware data protection inline to prevent sensitive data from being exposed through prompts or responses. Levo controls can redact, mask, block or route events to workflows based on risk and business context. Levo enforces boundaries on what agents can do, which tools they can call and what parameters they can pass, inline and in real time. Levo prevents sensitive system prompts and internal instructions from leaving the environment.[6]
Runtime AI Visibility is Levo's kernel level, eBPF powered view of the AI control plane, covering agents, MCP servers, LLMs and AI applications. Levo auto discovers external and internal LLMs, agents, MCP servers, AI apps, gateways, embeddings and vector stores, building a continuous AI bill of materials with ownership and lineage. Levo traces prompts, responses, tokens and downstream API calls across agents, MCP servers and LLMs. Levo maps who authorized an action versus who executed it, attributes non-human identities, and surfaces token scopes and auth states. Levo produces immutable, queryable trails of who acted, what data moved, where it went and under which policy. Levo covers LLMs, MCP servers, agents, AI apps and LLM apps across hybrid and multi cloud footprints.[7]
Levo continuously discovers MCP servers across developer laptops, prototypes, production environments and third-party services. Levo integrates with MDM and endpoint agents to build a living inventory that includes location, owner and context. Levo builds a single enterprise repository of MCP servers across in-house deployments and third-party sources. MCP Discovery deploys via existing MDM and endpoint agents, requiring no proxies or rewrites. When a server exhibits dangerous patterns, Levo can block those actions selectively while letting the rest of the workflow continue. Levo tests MCP servers the way they are actually used, including real authentication states, real tool paths and custom payloads. Levo continuously tests newly discovered servers and re-tests as posture changes.[8][9]
Levo's API Inventory surfaces how each API behaves, where it exists and what it exposes. Levo autonomously inventories every API across the stack, including internal, partner, third-party, shadow and zombie endpoints. Levo auto-discovers internal, partner and third-party APIs across environments and maps how sensitive data flows through them. Levo auto-classifies PII, PHI, PCI and other regulated data in motion. Levo auto-generates and executes runtime-aware, exploit-focused test payloads across APIs without manual configuration from customer teams. Levo integrates into CI/CD pipelines, not just post-release audits.[8][10]
Levo supports cloud-native, hybrid and air-gapped deployment models, including single VM setups and multi-year contracts. Levo charges based on the number of API endpoints it secures, not on arbitrary usage metrics or traffic. Levo supports companies at all stages, from 1K to 100K+ endpoints.[11]
Levo.ai closed its first set of customers across North America and India, including Square and AngelOne. Institutions such as the Insurance Information Bureau of India adopted the Levo.ai platform, along with Axis Finance, Axis Bank and Five9. Levo.ai says fintechs are infusing AI into fraud, onboarding, lending and payments, yet most systems run without guardrails. Levo secures AI systems that power fraud detection, onboarding, underwriting, payments, agent automation and customer experience. Levo simulates adversarial prompts, fraud attacks, agent exploits, threshold probing and data manipulation on staging environments.[3][8][12]
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