Introducing AI Asset Management: Full Visibility Across the AI Stack

Closing enterprise blind spots: AI Asset Management brings together model discovery, workflow analysis, compliance mapping, and threat detection in one platform.

Ante Gojsalic

TAKEAWAYS

Closing AI blind spots: AI Asset Management helps enterprises map, monitor, and secure every layer of the AI stack. Built on the success of our open-source tool, Agentic Radar, this feature has been expanded and upgraded as part of our enterprise platform. It delivers enterprise-grade capabilities to monitor risks and secure the entire AI stack.

Why it matters: AI Asset Management solves this by automatically generating model inventories, mapping agentic workflows, scanning MCP servers, and aligning findings with compliance frameworks. All of this is delivered in a single platform for AI security teams.

AI is powering business-critical workflows, from customer service agents and knowledge assistants to supply chain and analytics pipelines. The efficiency gains are clear.

But our conversations with CISOs and AI engineers surface the same challenges:

Unknown AI assets: It’s often unclear which AI systems are active across the organization - a challenge that becomes especially critical once they’re in production.
Workflow complexity: Dynamic, multi-node agentic workflows make it harder to detect and remediate threats.
Compliance gaps: Without clarity, teams can’t benchmark models against standards or demonstrate compliance with frameworks like the OWASP, NIST, or the EU AI Act.

This blind spot forces security teams to react to risks instead of staying ahead of them - and can even put AI projects on hold altogether. AI Asset Management enables teams to move forward with clarity and confidence.

What Is AI Asset Management?

Think of it as the map for your AI Security Posture Management (AI-SPM), a unified view that gives enterprises a real-time operational understanding of their AI systems.

Here’s what it includes:

Automated AI BOM + Security Benchmarks Combined

SPLX creates a live AI Bill of Materials (BOM) that captures every model running across the enterprise. Each model is automatically linked to our benchmark database, generating security, safety, and business alignment scores. This gives CISOs and security leaders a clear picture of operational risk across the entire AI stack.

Agentic Workflow Discovery

Generate a full graph visualization of every agent, node, and tool in complex workflows. Security and engineering teams can finally see how components interact, identify risky dependencies, and uncover unexpected connections.

Agent-Level Threat Analysis

Analyze vulnerabilities at the agent and tool level. Each interaction is benchmarked against real-world attack data to generate risk-prioritized insights. This gives teams a precise view of where workflows are most exposed and how to remediate quickly.

MCP Server Discovery & Scanning

MCP servers form the backbone of many agentic systems, yet they’re often overlooked. Automatically discover and scan MCP servers for vulnerabilities to ensure orchestration layers don’t become the weakest link.

Compliance-Ready Reporting

Instantly map findings to industry frameworks including OWASP LLM Top 10, ISO 27001, SOC 2, and the EU AI Act. This makes AI security posture actionable for CISOs, compliance teams, and auditors alike.

Guardrails Assessment

Detect and evaluate the guardrails protecting your AI systems - identifying which are in place, how they function, and where gaps exist. This ensures teams understand both their active defenses and areas requiring reinforcement.

Why We Built It

When we launched our open-source project, Agentic Radar, it was met with overwhelming support from the AI developer and SecOps communities.

Thousands of downloads
700+ GitHub stars
Used by the judging team at an AI Hackathon by OpenAI
Widely adopted by researchers, red teams, and SecOps pipelines

So we evolved the tool into an enterprise-grade package and embedded it within our end-to-end AI security platform, delivering:

Operational depth: Live inventorying, continuous scans, and compliance mapping
Integration: A seamless way to unify workflow discovery with model benchmarking
Scale: Enterprise-grade performance, reporting, and automation

AI Asset Management is our response to the needs of CISOs and their teams, extending Agentic Radar’s DNA into a fully integrated feature of the SPLX platform.

The Bottom Line

You can’t secure what you can’t see.

With AI Asset Management, SPLX delivers a comprehensive, enterprise-ready solution to map, monitor, and secure every component of the AI stack. From workflows to models, security teams finally get the clarity to act before attackers do.