SPLX Launches AI Asset Management to Help Enterprises Map, Monitor, and Secure Every Component of the AI Stack

Enterprise-ready solution combines AI Bill of Materials (BOM), agentic workflow analysis, and vulnerability scanning into a unified solution

DOVER, Del.--(BUSINESS WIRE)--SPLX, the leading end-to-end security platform for AI, today announced the launch of AI Asset Management, a major expansion of the SPLX Platform that gives enterprises unprecedented visibility into their AI models, agentic workflows, and infrastructure. AI Asset Management combines AI BOM generation, vulnerability scanning, and agentic workflow analysis in a single solution, enabling security and engineering teams to inventory and secure every component of the AI stack.

Earlier this year, SPLX introduced Agentic Radar, the first open-source tool for scanning and mapping agentic workflows. With AI Asset Management, SPLX transforms those capabilities into an enterprise-grade product now enhanced with model benchmarking, vulnerability detection, and compliance mapping. The new solution positions SPLX as a leading provider of AI Security Posture Management (AI-SPM), helping enterprises adopt agentic systems faster and more securely across their environments.

“AI adoption is accelerating, but most enterprises don’t even know what models and workflows are active across their stack,” said Kristian Kamber, CEO & Co-founder of SPLX. “With AI Asset Management, SPLX closes that gap — giving security leaders not only visibility but also clarity on how workflows behave, how agents interact, and where the risks lie, so they can act before attackers do.”

Key features and benefits of AI Asset Management include:

• Agentic Workflow Discovery & Visualization: SPLX uniquely maps every node, agent, and tool inside complex workflows, generating a visual graph that illustrates how components interact within the system. This lets teams visualize architecture, identify dependencies, and uncover risky connections.
• Agent-Level Threat Analysis: SPLX goes beyond static inventories by identifying vulnerabilities at the agent and tool level, then analyzing them against benchmark-driven risk scores to provide real-time, risk-prioritized insights.
• AI BOM + Security Benchmarks Combined: Unlike static cataloguing tools, SPLX automatically links discovered models to its benchmark database, providing security, safety, and business alignment scores.
• MCP Server Discovery & Scanning: Automated discovery and vulnerability scanning of MCP servers.
• Compliance-Ready Reporting: Findings are mapped to frameworks like OWASP LLM Top 10, ISO 27001, SOC 2, and the EU AI Act, making posture instantly actionable for CISOs.

“Agentic Radar proved how critical model discovery and workflow visibility is. It will continue as a standalone open-source project, supported by its vibrant community and fresh updates of its own,” said Ante Gojsalic, CTO & Co-founder of SPLX. “With AI Asset Management, we’ve expanded those open-source capabilities into a fully integrated enterprise feature — enhanced with model benchmarking, compliance mapping, and agent-level threat analysis. It gives enterprises a truly operational view of risks that were previously invisible.”

For more information on AI Asset Management, visit https://splx.ai/platform/ai-asset-management.

About SPLX

SPLX is the most comprehensive end-to-end security platform built to protect LLM-powered applications and multi-agent systems. The platform automates continuous AI red teaming, delivers intelligent risk analysis, and hardens system prompts, all while integrating seamlessly into CI/CD pipelines. Designed for enterprise-scale security teams, SPLX’s runtime protection continuously detects and blocks threats related to security, safety, reliability, accuracy, and compliance. Founded in 2023, Fortune 500 companies rely on SPLX’s automated, scalable solution to detect, triage, and manage risks to their business-critical AI agents in real-time, enabling them to deploy AI at scale without introducing new vulnerabilities. To learn more, visit us at splx.ai.