AI Assets
AI Assets is the discovery and management layer for all AI components inside your enterprise. It extends the SPLX Platform by allowing you to connect environments and run scans to discover models, AI workflows, MCP servers, guardrails, and tools within your infrastructure.
Features
Models Models discovers models and automatically links them to SPLX’s benchmarks, providing security, safety, and business alignment scores. This adds actionable context to the model inventory.
AI Workflows AI Workflows finds complex workflows and maps every node, agent, and tool within them, generating a visual graph of how components interact within the system. Beyond static inventories, AI Workflows also performs threat analysis, detecting vulnerabilities at both the agent and tool level.
Guardrails Detects guardrails embedded in workflows.
MCP Servers Automatically discovers Model Context Protocol (MCP) servers, ensuring visibility into these critical integration points.
This inventory provides a live map of where AI components are located and how they interact, enabling enterprises to understand architectures, dependencies, and risks at scale.
Getting Started
To begin gaining insights in AI Assets, you first need to integrate your first environment. Once connected, AI Assets will scan, discover, and populate your AI inventory.
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