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AlfaNest Labs — Non-human-identity (NHI) inventory and attestation corpus: customer-declared manifests of API keys, service accounts, agent tokens and webhooks with owner, environment and scope metadata (SHA-256 fingerprints only, never raw secrets), plus runtime authorize/attest audit receipts with Merkle roots, snapshot-drift diffs, and correlating API-risk scan results that map unprotected routes to sensitivity classes (address, phone, IBAN, amount).. Very small volume, unusually specific niche: machine-identity inventories and attestation receipts for HTTP APIs and production AI agents, a…
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Non-human-identity (NHI) inventory and attestation corpus: customer-declared manifests of API keys, service accounts, agent tokens and webhooks with owner, environment and scope metadata (SHA-256 fingerprints only, never raw secrets), plus runtime authorize/attest audit receipts with Merkle roots, snapshot-drift diffs, and correlating API-risk scan results that map unprotected routes to sensitivity classes (address, phone, IBAN, amount).
Scale Small but denseFrom 1 yearsCoverage Information Technology
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AlfaNest Labs — Non-human-identity (NHI) inventory and attestation corpus: customer-declared manifests of API keys, service accounts, agent tokens and webhooks with owner, environment and scope metadata (SHA-256 fingerprints only, never raw secrets), plus runtime authorize/attest audit receipts with Merkle roots, snapshot-drift diffs, and correlating API-risk scan results that map unprotected routes to sensitivity classes (address, phone, IBAN, amount).. Very small volume, unusually specific niche: machine-identity inventories and attestation receipts for HTTP APIs and production AI agents, a…
AlfaNest Labs offers (Alternative, Reference) — Small but dense — est. 10K-500K declared identity records plus attest receipts; per-tenant manifests are small JSON files, and evidence intake is capped at 30,000 characters per run, so total corpus is MB-to-low-GB of structured records rather than bulk content.
Training classifiers for credential/secret type and scope-breadth from manifest metadata; AI-agent governance and provenance datasets; enterprise attack-surface and shadow-API atlases; labeled pass/deny sequences for agent-authorisation policy learning (RL); benchmark corpora for non-human-identity posture scoring; sector benchmarks of agent-token sprawl
The data is with 1 years of history.
Coverage spans Europe; Application Software; alternative, reference; equities.
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