Build and Deploy AI, Responsibly
As AI adoption accelerates, so do the risks, ranging from outdated models and opaque training data to non-compliant licenses and geopolitical concerns. Manifest AI Risk helps your teams understand and control the real-world risks of AI, from development to deployment.
Use of non-compliant or high-risk licenses
Opaque or undocumented training datasets
Models sourced from untrusted or flagged regions
Outdated or unmaintained AI components
Shadow AI drifting through development cycles
Security risks in third-party model dependencies
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What you can do with Manifest AI Risk
Define and enforce policies that align with your organization's standards for responsible AI use. Flag or restrict components that:
Are unmaintained or outdated
Originate from high-risk countries
Use non-compliant or restricted AI licenses
Lack transparency in their training date
Evaluate popular open-weight models from sources like Hugging Face for AI security risks, licensing concerns, and training data opacity. Ensure third-party models meet your internal thresholds before use.
Track every AI model, whether approved, in development, or under review, in a centralized dashboard. Quickly understand model status, usage, and associated risks.
Prevent risky model use during development with our Python plugin, which automatically detects AI governance policy violations in real time and alerts developers to take early action. Complementing this, our CLI-based Source Code Scanner identifies when open-source or proprietary repositories contain embedded AI models.
