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Secure the AI Supply Chain

Protect the models, agents, plugins, APIs, and data sources that drive your AI.

AI supply chains are not static artifacts. They are live systems made of models, agents, embeddings, plugins, APIs, and data sources that interact in real time. If any part is compromised, attackers can manipulate decisions, expose sensitive data, or disrupt critical operations. Acuvity delivers continuous visibility and runtime enforcement to keep every link in the chain secure.

The Problem

Traditional supply chain security stops at static code. SBOMs and MLBOMs track software components, but they cannot monitor how AI behaves once deployed. In practice, the most damaging risks appear during runtime: a poisoned embedding that leaks sensitive data, a compromised plugin that issues unauthorized commands, or a third-party API that introduces unmonitored dependencies. Without oversight at runtime, organizations cannot control how their AI systems are influenced or exploited.

The Challenge

The AI supply chain is fundamentally different from the software supply chain. It is defined by dynamic, operational dependencies that execute continuously in production:

FAQAI Supply Chain Security FAQ

Software supply chain security is about static artifacts: source code, open-source libraries, build pipelines, and the SBOMs or MLBOMs that inventory them. These tools are useful, but they stop at the boundary of deployment. AI supply chains introduce components that don’t exist in software pipelines—models, embeddings, plugins, orchestration layers, APIs, and data sources that execute dynamically in production. These elements create risks through their behavior, not just their provenance.

Acuvity defines AI supply chain security as protecting this operational network of dependencies, giving enterprises visibility and control where software-oriented approaches cannot.

The greatest risks surface only after deployment. Pre-deployment reviews can confirm a model’s origin or a plugin’s code, but they cannot detect how those components behave once connected to live data and real users. Data poisoning, unauthorized API calls, or agents taking unexpected actions all occur during runtime. Without continuous monitoring and enforcement, these risks go unseen. Acuvity provides real-time oversight and policy enforcement, ensuring that AI systems remain trustworthy and compliant under actual operating conditions.

Acuvity monitors and enforces policy across every component in the AI supply chain:

  • Unauthorized or unvetted models being used in production.

  • Compromised plugins or agents executing actions across business systems.

  • Embeddings or vector databases retaining and leaking sensitive information.

  • APIs and SaaS AI features introducing unmonitored third-party access.

By focusing on runtime activity, Acuvity stops these threats before they can disrupt operations or violate compliance requirements.

Yes. Acuvity can ingest SBOM and MLBOM data as part of its visibility layer. These inventories provide useful context for upstream components, but they are not enough on their own. Acuvity extends protection to the dynamic layer of AI supply chains—the agents, plugins, APIs, embeddings, and data flows that SBOMs and MLBOMs were never designed to cover. This lets security teams build on the work they already do, while closing the most critical gaps.

Yes. Regulations increasingly require enterprises to maintain oversight of AI usage and third-party dependencies. Acuvity enforces policy in real time, provides audit trails across every component of the AI supply chain, and helps demonstrate compliance with data protection, privacy, and AI governance requirements.