Trust Profiles
Trust Profiles translate regulations, standards, or internal policies into testable requirements to be assessed across AI systems at scale
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What can you do with Trust Profiles?
Select and operationalize requirements which are relevant for your AI system
Scale AI compliance support by translating regulations into actionable assessments
Address diverse regulatory needs, from local to international standards
Adapt to various AI requirements for both built and 3rd party procured systems
Create custom Trust Profiles aligned with internal guidelines
Benefits
Empower Compliance
Empower stakeholders with automated tools to support effective AI compliance which avoid redundant checks and bottlenecks
Save
Time
Save valuable compliance time by leveraging out-of-the box Trust Profiles for key regulations, standards and policies
Scale Validations
Scale AI system validations from a requirement perspective without impeding development cycles or rollouts
Accelerate AI Adoption
Accelerate third-party model evaluations with automated assessments all run in a uniform and comparable way
How do Trust Profiles work?
A Trust Profile allows the operationalization of requirements by explicitly defining and matching risk and compliance requirements in the form of YAML files to assess the degree the AI system is meeting each requirement.
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Model Requirements
Trust Profiles are the translation of regulations and other policy frameworks into concrete, actionable requirements. They are customizable and adaptable to various frameworks, simplifying adherence to standards. Within Trust Profiles, you can flexibly model the mapping of compliance criteria and risks to:
Trust Profiles enable you to assign targeted tests—whether manual qualitative checks or automatable technical metrics—to specific risks and compliance criteria. This flexible approach allows you to validate adherence at a granular level, ensuring each requirement is thoroughly assessed through the most effective testing method.
Trust Profiles allow you to assign specific controls to tests, ensuring each compliance requirement is checked with the appropriate level of oversight. For example, you can require mandatory evidence uploads, enforce manual approvals by management or internal teams for added accountability, or assess against predefined technical thresholds.
Trust Profiles let you tailor risks and compliance criteria for each stage of the AI lifecycle, from development through deployment. By aligning specific, actionable requirements with each phase, Trust Profiles help you proactively address evolving risks—like insufficient coverage of training or missing transparency in deployment. This adaptable approach ensures assessments of your AI systems are dynamic and lifecycle-aware.
Trust Profiles allow you to assign concrete, actionable requirements based on the risk classification outlined by regulations like the EU AI Act. By mapping specific compliance criteria to each risk level—be it minimal, limited, high, or unacceptable—Trust Profiles support you in meeting the exact standards required for the AI systems respective risk category. This tailored approach streamlines assessments by filtering only for relevant requirements.
Trust Profiles enable you to assign specific risks and compliance criteria to target objects—such as the AI system, ML model, or use case—through tagging. This flexibility allows you to differentiate requirements based on the unique characteristics and risk levels associated with each object. This way, Trust Profiles make it easier for different stakeholders to track their areas of responsibility, streamlining collaboration and model assessments.
You can either build your own customized Trust Profile based on internal guidelines or rely on QuantPi’s library of pre-configured Trust Profiles covering the most relevant regulatory frameworks currently discussed in the responsible AI community.