Levo.ai, a pioneer in API Security, has officially announced the launch of its Unified AI Security Platform. This new platform is designed to secure AI applications from the development phase ("shift-left") through to runtime. By integrating five core security modules under a single control plane, the platform enables enterprises to deploy AI securely and rapidly while meeting complex compliance and security mandates.
End-to-End Security: The platform secures the entire AI application stack, providing protection from development to production.
Unified Control Plane: It consolidates security for applications, agents, MCP servers, APIs, vector stores, and LLMs under one umbrella.
Addresses AI Adoption Barrier: It solves the key problem of security and compliance that keeps most enterprise AI pilots from scaling into production.
Runtime Focus: The platform is built to govern the dense machine-to-machine flows—such as agents chaining tasks and MCP servers orchestrating tools—that power modern AI systems.
Five Integrated Modules: Security is delivered through specific modules: Runtime AI Visibility, AI Monitoring & Governance, AI Threat Detection, AI Threat Protection, and AI Red Teaming.
CEO's Vision: Founder and CEO Buchi Reddy stated the platform is an extension of their existing eBPF sensor technology, designed to cover the entire AI stack visibility.
While AI has demonstrated its ability to deliver massive productivity and revenue gains, most enterprises report that those gains are stalled in pilot phases. The clear reason for this is that security and compliance mandates stand in the way, making boards cautious and leaving potential ROI unrealized.
Traditional security tools fail in AI systems because they were not built to govern the dense and complex machine-to-machine flows inherent in AI workloads. Securing components like APIs, LLMs, or vector stores individually multiplies risk due to the many moving, interconnected parts. Levo.ai solves this by unifying security across the entire control plane, guaranteeing end-to-end security.
The platform’s structure is built around five key modules, ensuring comprehensive, automated protection:
The platform provides automated discovery for every AI component, establishing a full inventory of the AI environment. This visibility feeds into AI Monitoring & Governance, where controls are enforced at runtime to proactively protect customer data and simplify compliance.
The system ensures robust defense with two active modules. AI Threat Detection automatically surfaces risks like sensitive data exposure and overly-permissive agents before they can be exploited. AI Threat Protection then acts to block attackers in real time, preventing incidents while maintaining service continuity for legitimate customers and partners.
To ensure maximum resilience, the platform includes a proactive AI Red Teaming module. This essential feature identifies and enables remediation of AI-specific attacks, such as prompt injections, data poisoning, and collusion attempts, before they can compromise sensitive data or functionality.
The company automates security and compliance end-to-end, giving enterprises the confidence to bring AI into production sooner. This allows businesses to realize gains faster and ensure those gains are preserved as profit instead of being lost to unforeseen overhead. As CEO Buchi Reddy explained: “Our eBPF sensors had already begun discovering LLM traffic, and customers asked us to extend that visibility across the entire AI stack. By giving enterprises the confidence to scale AI safely and fast, Levo ensures they lead the AI race.”
Levo unifies security for APIs and AI at runtime, where growth, risk, and compliance collide. Levo delivers proactive testing, passive detection, and in-line protection enterprises can trust. With Levo, enterprises don’t just keep pace with change; they scale it, safely.
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