Technology & communications
Truthlocks for
AI & machine learning.
Give agents identities and connect AI outputs to inputs, actions, and human review.
AI work becomes easier to examine when you know which agent acted and which evidence was captured. Truthlocks provides identity and action records around the AI applications you connect.
Distinguish agents and their delegated work
Several agents can share tools, making it difficult to identify responsibility for an action.
Create the record
Register separate identities and record assigned tasks, delegated permissions, tool references, and signed action receipts.
Review the evidence
Follow a task’s recorded actions and compare them with the access your connected tools are configured to enforce.
What your team gets
An inspectable identity and action history for each participating agent.
Connect an evaluation report to its inputs
A model score can circulate without the dataset or evaluation configuration that produced it.
Create the record
Record model and dataset references, configuration fingerprints, the evaluation output, and the responsible reviewer’s recorded approval.
Review the evidence
Check the report against its captured context and independently assess whether the evaluation is appropriate for deployment.
What your team gets
A reproducible reference point for discussing a model evaluation result.
Show where people reviewed AI-generated work
An output may move into a business process without its review history following it.
Create the record
Capture the agent identity, output fingerprint, source references, and the human acceptance, correction, or rejection event.
Review the evidence
Inspect the captured evidence and review decision before using the output in a consequential workflow.
What your team gets
A clear record of the transition from generated output to reviewed work.
Put it into practice
The platform behind these workflows.
Start with the capability your first use case needs. Add others as your process grows.
Machine identity
Register software agents, define their permissions, and connect their actions to a known identity.
AI workflows
Coordinate AI tasks and business processes with visible runs, defined policies, and recorded outcomes.
Agent workforce
Organize agents, assign work, and review the actions and results they produce.
Plan your first workflow
Define agent permissions, event capture, and review gates. Traceability depends on connected events and does not establish that a model’s answer is correct.
Use cases describe how to apply the platform. Your workflow may need APIs, external systems, and configuration; available features depend on your plan.
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