Control Evidence Mappings
Each control mapping documents what evidence Vallum produces to support your compliance program, what it does not produce, known limitations, and what remains your responsibility.
Published (11)
GENAI-GOV-1.1: Establish governance for generative AI content provenance and attribution
NIST GenAI Profile 1.0 · SUPPORTED EVIDENCE · TESTED
GENAI-GOV-1.2: Define acceptable use policies for generative AI in organizational context
NIST GenAI Profile 1.0 · SUPPORTED EVIDENCE · TESTED
GENAI-MAP-1.1: Map generative AI system outputs to potential harm categories
NIST GenAI Profile 1.0 · SUPPORTED EVIDENCE · TESTED
GENAI-MAP-1.2: Identify and document training data provenance and licensing status
NIST GenAI Profile 1.0 · SUPPORTED EVIDENCE · TESTED
GENAI-MAP-2.1: Assess generative AI hallucination risks in operational context
NIST GenAI Profile 1.0 · SUPPORTED EVIDENCE · TESTED
GENAI-MEASURE-1.1: Measure generative AI output quality and factual accuracy
NIST GenAI Profile 1.0 · PARTIAL TECHNICAL SUPPORT · SUPPORTED
GENAI-MEASURE-2.1: Evaluate generative AI bias and fairness across protected categories
NIST GenAI Profile 1.0 · PARTIAL TECHNICAL SUPPORT · SUPPORTED
GENAI-MANAGE-1.1: Manage generative AI content filtering and safety mechanisms
NIST GenAI Profile 1.0 · PARTIAL TECHNICAL SUPPORT · SUPPORTED
GENAI-MANAGE-2.1: Implement human oversight for high-risk generative AI decisions
NIST GenAI Profile 1.0 · PARTIAL TECHNICAL SUPPORT · SUPPORTED
GENAI-MANAGE-3.1: Establish feedback mechanisms for generative AI output quality improvement
NIST GenAI Profile 1.0 · PARTIAL TECHNICAL SUPPORT · SUPPORTED
GENAI-MANAGE-4.1: Implement watermarking or provenance marking for generative AI outputs
NIST GenAI Profile 1.0 · INTEGRATION REQUIRED · PILOT
In Progress (1)
These mappings are under editorial review and will be published after quality verification.
GENAI-MANAGE-5.1: Establish incident response procedures specific to generative AI content harms
NIST GenAI Profile · Under review