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Nizh

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Nizh — A hash-chained, tamper-evident audit trail of every AI-agent interaction with an enterprise's compliance/governance control framework: each control-catalog read, each proposed evidence reference an agent surfaces, and each human confirm/reject decision, tagged to specific frameworks (CMMC 2.0, NIST SP 800-171/800-53, SOC 2, ISO/IEC 27001, FedRAMP, HIPAA) and specific AI tools (Claude, Cursor, Gemini, etc.) used per team (Engineering, Marketing, Sales).. Very small (2-employee, pre-funding-disclosed startup) but addressing a novel, timely niche (AI-agent governance for regulated complia…

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A hash-chained, tamper-evident audit trail of every AI-agent interaction with an enterprise's compliance/governance control framework: each control-catalog read, each proposed evidence reference an agent surfaces, and each human confirm/reject decision, tagged to specific frameworks (CMMC 2.0, NIST SP 800-171/800-53, SOC 2, ISO/IEC 27001, FedRAMP, HIPAA) and specific AI tools (Claude, Cursor, Gemini, etc.) used per team (Engineering, Marketing, Sales).

Format TabularCoverage Information TechnologyAsset class Equities

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What buyers ask about Nizh, answered from this page.

What does Nizh do?

Nizh — A hash-chained, tamper-evident audit trail of every AI-agent interaction with an enterprise's compliance/governance control framework: each control-catalog read, each proposed evidence reference an agent surfaces, and each human confirm/reject decision, tagged to specific frameworks (CMMC 2.0, NIST SP 800-171/800-53, SOC 2, ISO/IEC 27001, FedRAMP, HIPAA) and specific AI tools (Claude, Cursor, Gemini, etc.) used per team (Engineering, Marketing, Sales).. Very small (2-employee, pre-funding-disclosed startup) but addressing a novel, timely niche (AI-agent governance for regulated complia…

What data does Nizh offer?

Nizh offers (Alternative) — Per-organization event volume in the hundreds (example shown: 488 agent reads for one sample corporate enclave); with a 2-employee team and presumably a handful of pilot customers, the aggregate cross-customer dataset is likely still small (thousands of events) but growing with every new customer connection..

What is Nizh's data used for?

AI safety/governance research on real-world agentic behavior in regulated environments; benchmarking AI-agent reliability and hallucination rates on compliance tasks (human-confirmed vs. unconfirmed references); enterprise compliance-coverage analytics; training/evaluating AI agents for regulated-industry use cases (CMMC, HIPAA, FedRAMP).

What does Nizh cover?

Coverage spans US; Application Software; alternative; equities.

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