Cycode is excited to announce its AI & ML Inventory and AI Bill of Materials (BOM), a powerful new set of capabilities currently in early access to help organizations discover, govern, and secure their use of AI across the entire software development lifecycle (SDLC).
Tackling the Shadow AI and AI Governance Challenges
The race to adopt AI is on. Organizations are rushing to leverage the transformative power of AI to gain competitive advantages. But this rapid, often decentralized adoption has created a new landscape of risk: Shadow AI.
Developers, eager to innovate, are pulling in new AI models, using various AI coding assistants, and connecting to a wide array of AI infrastructure. The result is a sprawling, invisible ecosystem of AI tools and components across the software development lifecycle (SDLC). Security teams are left asking critical questions:
- What AI tools are our developers actually using?
- Where are we using models from third-party sources?
- How can we define and enforce policies for secure AI adoption without visibility?
The promise of AI is matched only by the challenge of securing it. Without visibility, organizations cannot implement and enforce security controls to enable the organization to adopt AI and experience the benefits without incurring uncontrolled risks.
That’s where Cycode comes in.
Discover, Govern, and Secure AI across Your SDLC
Cycode’s AI & ML Inventory provides complete visibility and governance over all AI and Machine Learning components used throughout your SDLC. We give security teams a single source of truth to discover Shadow AI, establish controls, and empower developers to innovate securely. It’s how you unlock the full potential of secure AI development, from prompt to production. Our solution is built on three key pillars:
1. Discover and Map Your Entire AI Footprint
Security starts with visibility. Cycode gives you a comprehensive inventory of all AI and ML assets, automatically discovering and cataloging everything from infrastructure, models, and coding assistants to the specific packages and secrets associated with them. Cycode’s AI & ML inventory includes:
- AI Infrastructure: The underlying hardware and software platforms that support AI development and deployment, including specialized processors, storage, and networking.
- AI Coding Assistants: Tools that leverage AI to help developers write, debug, and optimize code, often offering suggestions, autocompletion, and refactoring capabilities.
- AI Models: The trained algorithms that perform specific AI tasks, such as image recognition, natural language processing, or predictive analytics.
- Model Context Protocol (MCP) Servers: Specialized systems that serve curated, relevant information and context to improve the quality (and security) of AI outputs.
- AI Packages: Collections of pre-built AI components, libraries, and frameworks that streamline the development and integration of AI functionalities.
- AI Secrets: Sensitive information, such as API keys, credentials, or proprietary model weights, that are essential for the operation of AI systems and require secure management.
The inventory is not just a list of technologies. Powered by Cycode’s Risk Intelligence Graph (RIG), we trace every discovered AI asset back to its source with a clear Evidence Path. This shows you exactly what AI component is being used and precisely where it lives in which code repository, providing the context that legacy scanners lack.
2. Govern AI Usage with Enforceable Policies and AI BOM
Visibility is the foundation, but control is the goal. Once you’ve uncovered all your AI assets, Cycode empowers you to establish the governance necessary to adopt these technologies securely and confidently.
Security teams can define policies to manage and govern the use of AI tools and models. For example, you can forbid the use of specific models like DeepSeek or create an allow list of approved AI models from specified vendors.
Cycode will flag the use of any model that violates the policy. This provides developers with clear guardrails for responsible AI innovation and allows security teams to manage AI risk proactively.
As regulatory requirements and customer inquiries around AI usage grow, Cycode addresses the need to export your complete AI & ML Inventory into an AI Bill of Materials (AI BOM). This report provides a complete, up-to-date manifest of all your AI components, dramatically simplifying governance, compliance, and risk reporting for leadership and auditors.
3. Secure Your AI Development
The AI & ML inventory and AI BOM complement Cycode’s Model Context Protocol (MCP) server, designed to secure the outputs of AI coding assistants. Cycode’s MCP server achieves this by leveraging a deep understanding of the full code-to-runtime context. This comprehensive contextual awareness allows Cycode to validate and secure AI-generated code, ensuring it aligns with an organization’s security policies and standards. By understanding how code functions within the broader application environment, the MCP mitigates risks associated with AI-produced vulnerabilities and misconfigurations.
In concert, Cycode’s MCP server and the AI & ML inventory, along with AI BOM capabilities, represent a comprehensive solution for securing AI development. While the MCP focuses on securing the outputs of AI coding assistants by providing essential context, the AI & ML inventory and governance capabilities address the broader landscape of AI tools and models in use. Unlike legacy AST vendors that often lack the necessary context to inventory AI tools effectively or stand-alone ASPM tools that lack the native scanning capabilities to discover “Shadow AI” within codebases, Cycode offers a complete approach.
This integrated solution empowers organizations to manage risk across their entire AI-powered SDLC, from the initial use of AI tools to the deployment and operation of AI-generated code.
Start Securing Your AI Development with Cycode
As AI transforms how software is created, Cycode transforms how it is secured. Don’t let Shadow AI and insecure AI-generated code stall innovation or introduce uncontrolled risk. Enable your organization to harness the competitive advantages of AI with the visibility and governance needed to build trust and enable secure AI adoption.
Cycode’s MCP server is available now. The AI & ML inventory is currently in early access. Get a demo of Cycode’s AI & ML Inventory today.
