Integrating open-source models and packages introduces a growing entry point for compromise — tampered weights, malicious dependencies, unverified sources. We audit what’s actually running in your AI pipeline and whether it’s safe to keep in production.
Provenance of models and packages pulled from public or third-party repositories.
Tampering indicators in model weights, configurations, or associated dependencies.
Package-level compromise across the AI and machine-learning pipeline.
Whether flagged components need replacement or deeper review.
Inventory every model and dependency currently used throughout the AI pipeline.
Trace the source and version history of each component.
Compare components against known-compromised package and dependency indicators.
Flag anything unverifiable for deeper review or controlled replacement.
Any AI feature built on public model repositories without a formal review process, recent unexplained AI behavior changes, or an upcoming compliance review of AI-powered features.
Share a brief overview of your environment and what you are seeing. Our team will review the details and contact you to discuss the appropriate next step.