Nizh

Name: 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).
Creator: Nizh

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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).

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Coverage

Universe, instruments and categories.

Industry: Application Software
Instruments: equities
Categories: Alternative
Regions: US
Sample tickers: CRWDPANWZSS

Dataset card

Type: not stated
Format: Tabular
Volume: 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.
Users: N/A — B2B compliance-governance tool with per-organization/per-team usage (not consumer MAU); usage is better measured in 'agent reads' per org (example shown: 488 agent reads for one sample organization)
History: not stated
Update frequency: not stated
Growth: Active — page is explicitly tagged 'New' at the top ('New: Give AI agents governed access to your compliance program'), indicating a recent launch and active go-to-market push.
Launched: ~2025-2026 (site framing as 'New', 2-person team per company records, and content referencing very recent AI-agent tooling like Claude/Cursor/Gemini MCP integrations — all point to a launch within the current AI-agent tooling wave)
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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