SPLX Debuts AI Asset Management Platform for Comprehensive Enterprise AI Security and Visibility

SPLX Introduces AI Asset Management to Secure Enterprise AI Environments

SplxAI Inc., a company focused on AI security platforms, has launched AI Asset Management, a new extension of its SPLX platform. This solution provides enterprises with clear visibility into their AI models, workflows, and infrastructure, allowing security and engineering teams to inventory and safeguard every component within their AI stack.

Comprehensive AI Stack Visibility

AI Asset Management builds upon SPLX’s existing Agentic Radar tool, evolving it into a product fit for enterprise use. It combines AI Bill of Materials creation, vulnerability scanning, and agentic workflow analysis into a single platform. This integration offers management teams detailed insights into active AI models and workflows, their interactions, and potential risks.

Kristian Kamber, co-founder and CEO of SPLX, highlights the challenge many organizations face: lacking awareness of what AI models and workflows are active. This tool bridges that gap, providing clarity on workflow behavior and interaction patterns, helping leaders identify risks before they are exploited.

Key Features of AI Asset Management

• Agentic Workflow Discovery and Visualization: Maps every node, agent, and tool in complex AI workflows, revealing system interactions and dependencies.
• Agent-Level Threat Analysis: Detects vulnerabilities in tools and agents, scoring risks to prioritize security efforts.
• AI Bill of Materials and Security Benchmarks: Links discovered AI models to SPLX’s database, generating scores for security, safety, and business alignment.
• Automated Discovery and Vulnerability Scanning: Focuses on Model Context Protocol servers to identify security gaps.
• Compliance-Ready Reporting: Aligns with standards such as OWASP Large Language Model Top 10, ISO 27001, SOC 2, and the EU Artificial Intelligence Act.

Funding and Company Background

SPLX is a venture-backed startup that has secured $8.99 million in funding across two rounds, including a $7 million round in March. Investors include LAUNCHub Ventures, Rain Capital, Inovo Runtime Ventures, DNV Ventures AS, and South Central Ventures.

For management professionals responsible for AI governance and security, AI Asset Management offers a practical tool to gain control over complex AI environments. By providing detailed visibility and actionable insights, it supports informed decision-making to protect enterprise AI investments.