AI Supply Chain Security

Uncover AI Assets and Control Risk with AI Supply Chain Security

Get complete AI oversight across the ADLC with end-to-end AI security governance as part of your AppSec stack to safeguard AI‑driven builds.

SCANNING OVER 800 BILLION LINES OF CODE EACH MONTH

From Shadow AI to Secure AI

Shadow AI ends here. Checkmarx gives AppSec full visibility and governance across the ADLC, exposing AI assets such as LLMs, MCPs, Agents, AI SDKs and Libraries, to block risk before code ships.

Problem

You can’t secure what you don’t see. Lack of visibility and siloed data hide AI assets across repos and pipelines.

Complete AI oversight

Reduce risk exposure

Automatically discover every LLM, agent framework, MCP server, dataset, and prompt across your application.

Problem

Even after you gain visibility, you still don’t know the security vulnerabilities introduced by your AI assets.

Know your risks

Understand the risks your AI introduces

Identify risks that others miss, including insecure deserialization, dangerous model loaders, shell execution, and suspicious patterns.

Problem

AI visibility and transparency gaps put trust and compliance posture at risk.

Enforce AI Governance Without Friction

Govern AI in the development workflow

Flag AI risks in PRs and pipelines, whitelist trusted components, block threats, generate AI-BOMs, and enforce policy directly in‑flow.

Turn AI Blind Spots into Actionable Insights

See how you can find and protect hidden AI, ensure compliance, and reduce AI supply chain risk.

3 min.

Why choose Checkmarx AI Supply Chain Security

Complete visibility, assessment, control, and reporting over AI usage across your enterprise, from discovery to compliance.

Native-Integration-into-Checkmarx-One-Feature

Standards-Aligned Compliance Reporting Feature

Native Integration into
Checkmarx One

AI security lives within your unified AppSec platform, not a separate tool. No new platform to adopt, no siloed data, no fragmented visibility.

Deterministic, Code-Based Detection

Discovery relies on real signals — analyzing source code, dependency files, configuration manifests, and import statements — not AI inference.

AI Asset Intelligence

Gain cross-portfolio visibility at scale with a centralized AI asset catalog that spans all repositories and applications.

AI-Specific Risk Assessment

Go beyond CVE scanning to detect AI supply chain threats such as model poisoning indicators, unverified model sources, dataset exposure risks, and configuration weaknesses.

Standards-Aligned Compliance Reporting

Map discovered AI assets to compliance frameworks (NIST AI RMF, EU AI Act, ISO 42001, OWASP LLM Top 10) with audit trails and risk documentation aligned to regulatory requirements.

Webinar

Building CRA-Aligned Security

Join our webinar to learn how the Cyber Resilience Act reshapes product security. Get practical guidance on lifecycle‑long risk assessment, SBOM/AI‑BOM visibility, and securing your software supply chain.

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What AI assets are you able to discover?

Checkmarx One AI Supply Chain Security discovers LLMs, AI SDKs, AI Libraries, MCP Servers. MCP Clients, AI Agents within your application.

Do you use AI to detect and assess AI assets?

No, our discovery engine is deterministic and relies on real signals, analyzing source code, dependency files, configuration manifests, and import statements, not AI inference.

How do you assess security risks associated to AI Assets?

Checkmarx provides dedicated security assessment scanners for LLMs and MCPs. For LLMs, we detect security risks like insecure deserialization, dangerous model loaders, shell execution, and suspicious pickle/torch gadget patterns.

How does AI SCS help with AI regulatory compliance across frameworks like EU AI Act, NIST AI RMF, and ISO 42001?

AI SCS identifies AI components across your applications —models, LLMs, MCP servers — providing visibility for compliance frameworks. It helps determine which AI systems fall under EU AI Act risk classifications, NIST AI RMF governance, and ISO 42001 standards .

How do I build an AI governance program with the right frameworks, tools, and responsibilities?

Start by taking an inventory of all AI usage to uncover Shadow AI. Assess your maturity with Checkmarx APMA. Align to frameworks like NIST AI RMF or ISO 42001. Define roles: AI risk owners, validators, compliance reviewers. Use AI SCS for continuous discovery and policy enforcement.

Where can I explore AI SSCS documentation?

You can explore all Checkmarx’s  documentation here

How can I learn more about pricing?

Every organization has unique needs and sizes. For a price quote, please get in touch. See our packaging here.

 If you are a current Checkmarx customer, please reach out to your account manager or contact us here

Get a Demo

See AI Supply Chain in Action

See how Checkmarx can enhance your AI security at the speed of development

Take Control of your
AI Supply Chain

Unified AI Risk Management

Gain full visibility into AI assets with centralized monitoring and control

Native Integration into Checkmarx One

AI security lives within your unified AppSec platform

Meet AI Regulatory Requirements

Automate compliance with audit-ready oversight and reporting

Developer‑friendly Workflow

Integrate seamlessly with existing tools, so security doesn’t slow delivery.

Deterministic, Code‑Based Detection

Consistent, auditable results by analyzing real code and configs, no AI inference, no guesswork.

Enterprise‑ready

Trusted by 1,800+ customers including 40% of the Fortune 100

Uncover AI Assets and Control Risk with AI Supply Chain Security