TLDR: Levo.ai has launched its Unified AI Security Platform, designed to provide complete security for AI applications from the initial development stages (‘shift-left’) through to live operation (‘runtime’). The platform integrates five key modules to address the unique security challenges of AI systems, enabling enterprises to deploy AI securely and accelerate innovation.
SAN FRANCISCO – Levo.ai, a pioneer in API security, announced today the launch of its Unified AI Security Platform, a groundbreaking solution aimed at securing AI applications across their entire lifecycle, from ‘shift-left’ development to runtime. This new platform consolidates five critical security modules under a single control plane, empowering enterprises to deploy AI securely, rapidly, and in compliance with evolving mandates.
The impetus for this innovation stems from a significant challenge facing businesses today: while AI promises substantial returns, its widespread adoption remains hampered by security and compliance concerns. Traditional security tools are often ill-equipped to handle the intricate, machine-to-machine communication flows inherent in modern AI systems, which involve agents chaining tasks, MCP servers orchestrating tools, vector stores feeding models, and APIs moving data. Securing these components piecemeal only escalates risk and stalls the realization of AI’s full potential.
Levo.ai’s platform addresses this by bringing applications, AI agents, MCP servers, APIs, vector stores, and Large Language Models (LLMs) under a unified security umbrella. The five integrated modules are:
1. Runtime AI Visibility: Provides automated discovery and mapping of every AI component, data flow, and interconnection within production environments.
2. AI Monitoring & Governance: Enforces policies and access controls in real-time to proactively protect sensitive customer data.
3. AI Threat Detection: Identifies critical vulnerabilities such as sensitive data exposure and over-permissioned agents before they lead to incidents.
4. AI Threat Protection: Blocks malicious or unintended actions in real-time, ensuring business continuity and preserving revenue.
5. AI Red Teaming: Simulates various attack vectors, including prompt injections, data poisoning, and collusion attempts, to harden AI systems prior to deployment.
Buchi Reddy, Founder and CEO of Levo.ai, commented on the launch, stating, “At Levo, we see this as an extension, not a pivot. 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.” The platform leverages Levo’s patent-pending eBPF sensor technology, which has proven effective in instrumenting APIs and cloud workloads, now seamlessly extending its capabilities to AI applications without adding developer burden or compute overhead.
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By automating end-to-end security and compliance, Levo.ai aims to help enterprises accelerate the production deployment of AI, realize gains faster, and convert those gains into profit rather than losing them to overhead. The platform’s ability to unify shift-left testing with robust runtime guardrails ensures that vulnerabilities are discovered and remediated pre-production, while real-time protection safeguards live systems against evolving threats.
