Built for neoclouds and on-premise environments: Lava connects to your entire stack and builds an end-to-end context graph to reduce risk and protect AI compute.
Lack of ContextRisk reduction and prioritization are harder in the data center, where security is fragmented across different components, and solutions.
AI-powered AttacksAI makes it easier and faster to find and exploit vulnerabilities across components and layers that were previously harder to target.
Shared Infrastructure RisksData centers were never designed for multi-tenancy, turning every tenant into a potential insider threat with access to shared infrastructure.
AI Compute Introduces RisksAI infrastructure introduces entirely new components across GPUs, networking, compute, storage, and management that existing security tools were not built to understand or protect.
Lava connects compute, network and storage into a single security graph that provides the end-to-end context required to protect your data center.
As your single source of truth for security, Lava builds a real-time inventory graph that shows attack paths across your entire infrastructure, covering every data center layer: BMC, network, GPU, fabric, storage, host, and virtualization.
Continuously detect misconfigurations, vulnerabilities and drift against hardening baselines across every component. Findings, including shared passwords and over-privileged identities, ranked by impact and severity.
Verify that firmware across GPUs, NICs, DPUs, BMCs and storage is correctly signed, unaltered and up-to-date. This covers the new AI hardware that existing security tools can’t protect.
Identify isolation gaps across compute, network and storage, allowing customers to prevent tenants from reaching another tenant’s workloads, data, or shared infrastructure. This keeps every tenant from becoming an insider threat.
Detect threats across every layer of your data center by comparing live activity against its expected state. Malicious behavior and anomalies are flagged as they happen, at the speed AI-powered attacks demand.
A targeted, actionable framework for neocloud providers, CISOs, and teams building, operating, securing, or procuring AI compute infrastructure across data centers.
Explore FORGE
Build customer trust with strict tenant isolation and security across your entire infrastructure.
Check the security and isolation of the capacity you rent, before and while your workloads run on it.
Secure GPUs, fabric and new hardware alongside the rest of your AI stack.
Bring new or existing on-prem infrastructures under one graph, and secure it.
Shared infrastructure carries risks for neocloud environments. With Lava you can easily see what’s exposed.
Check your neocloud
While the security industry fixates on model risks, AI data centers are creating a dangerous blind spot. Rapid, bare-metal deployments have left hardware security lagging. We are introducing FORGE, a community-driven framework designed to secure the "metal beneath the model" and fix critical infrastructure gaps.
AI is moving faster than the infrastructure beneath it. As neoclouds and data centers race to support increasingly powerful AI workloads and autonomous agents, the security models protecting that infrastructure are struggling to keep up with the pace of change.
Neocloud security failures are exposing tenant boundaries, management infrastructure, and shared systems that should never be reachable.
Neoclouds
Neocloud Users
AI Data Centers
Enterprise Data Centers
Visibility & Posture
Verify Rented Capacity
Risk Prioritization & Hardening
Runtime Detection & Response
Compliance & Audit Readiness
