EQTY Lab
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Align and control data, models, and agents at runtime.
Summary
EQTY Lab is a commercial ai-security tool that aligns and controls data, models, and agents at runtime. It requires a paid license and functions as a service for teams focused on ai-governance and model-provenanceprovenanceEvidence recording where a software artifact came from and how it was built, including its source and build process. It helps a consumer check that the artifact matches a trusted build.. The tool's architecture positions it within the field of verifiable-ai, providing capabilities useful for attestation workflows. It was launched in 2020.
Align and control data, models, and agents at runtime.
How EQTY Lab helps
Which model in production actually generated a given output?
traces the output back to the specific model version and its lineage of training data, and stops short if that link was never recorded at runtime
Has this agent's behavior drifted from what was approved before it went live?
compares the running configuration against the attested baseline captured at deployment and flags any divergence
Can this decision be shown to an auditor as tamper-evident?
attaches a verifiable record to the data, model, and agent actions involved, so any alteration after the fact breaks the chain of proof
Which data sources fed into a model nobody can now explain?
walks the recorded provenance chain from the model back to its inputs, and shows where that chain goes cold
Who approved an agent's access to a given system, and when?
checks the runtime alignment and control record for the approval tied to that action
Languages
Release-note detail over time
See how much detail EQTY Lab puts in its release notes, quarter by quarter, and compare it with tracked tools in the same category. This history uses up to ten retained, reviewed notes per tool; sparse or blank older quarters may reflect that limit.
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Releases
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