Getting Started
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.
To begin gaining insights in AI Assets:
Integrate your first environment - Connect your organization and repositories on GitLab or GitHub.
Scan for Models and for AI Workflows - Scan your environments to identify models and complex AI workflows that populate your AI inventory with the results.
Results are available directly in: - Models - shows 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 - shows 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. - AI Assets Issues - shows issues created in accordance with predefined Risk Assessment Policy.
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.
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