Securing the Future of AI: Why Prediction Guard is Sponsoring the OWASP AIBOM Project

At Prediction Guard, we’ve always believed that the "black box" nature of AI isn’t just a technical challenge. It’s a systemic risk. As enterprises rush to integrate Large Language Models (LLMs) into their core workflows, the question of transparency has become a boardroom-level concern

That is why I am incredibly proud to announce that Prediction Guard is officially a Silver Sponsor of the OWASP AI Bill of Materials (AIBOM) project.

Beyond the "Black Box": The Rise of the AIBOM

If you’ve worked in software security over the last decade, you’re familiar with the SBOM (Software Bill of Materials). It’s essentially a list of ingredients for your software. However, AI introduces "ingredients" that traditional SBOMs aren't equipped to handle like model weights, training data lineage, and prompt templates.

An AIBOM extends transparency to the machine learning lifecycle. Without this visibility, "Shadow AI" creeps into organizations, leaving security teams blind to data leakage, model drift, or compliance violations like a team quietly routing customer data through a public LLM API with no logging or oversight.

How Prediction Guard is Leading the Charge

Our sponsorship isn't just a badge on our website; it is a reflection of the work we are doing every day within the Prediction Guard AI Control Plane. We are actively operationalizing AIBOMs to solve the "AI transparency gap" in three critical ways:

• Mapping the AI Supply Chain: We provide deep visibility into the origin and journey of the models you use. Whether it's an open-source model from Hugging Face or a proprietary LLM, we help you track the full supply chain to ensure you aren't inheriting hidden vulnerabilities.
• The Governance Harness: We’ve built the ability to deploy a robust governance harness directly into any environment, including cloud, VPC, on-prem, and even air-gapped deployments. This harness intercepts every model call to enforce policies by stripping PII before it hits the model, flagging prompt injection attempts, and maintaining a complete audit log.
• Auditability as a Standard: Every interaction within our control plane is designed to be fully auditable. We turn "trust me" into "prove it" by providing the telemetry needed for compliance officers and security teams to verify that AI policies are being enforced in real-time.

Our Commitment to Open Standards

We realize that we can’t build a secure AI future in a vacuum. By supporting OWASP which is a foundation synonymous with software integrity; we are helping build the global industry standard for how AI transparency is documented.

Our sponsorship supports the standardization of AIBOM formats so they can be easily shared and audited across different platforms, giving our customers the peace of mind that their AI stack is backed by global security best practices.

Transparency is Your Best Defense

For too long, AI providers have operated on a "trust me" basis. At Prediction Guard, we believe it’s time for a "show me" economy.

Whether you are a developer building a RAG application or a CISO worrying about the next big breach, transparency is your most powerful tool. We are thrilled to work alongside the brilliant contributors at OWASP to make AI safer, more transparent, and more accountable for everyone.

Onward!

Katie Bowen Head of GTM, Prediction Guard