"Autonomous systems should not be trusted to act because they have permission — only because they can continuously justify their actions against explicit human intent."


Biomedical Agent Safety Demo — IntentBound
Illustrative Demo

🧬 Biomedical Agent Safety
Purpose-Aware Authorization for Life Sciences AI

A conceptual illustration of how intent-bound authorization could apply to biomedical research agents — not a claim of deployment with, partnership with, or endorsement by any named institution.

The Challenge

Biomedical AI agents analyze large-scale datasets and coordinate multi-agent workflows. Autonomous agents operating on sensitive research data need clear boundaries — traditional authorization only asks "who can do what," never "does this action serve the declared purpose?"

Select a Scenario

Only the first scenario is currently interactive. The other three are concept placeholders, honestly labeled — not yet built.

Declared Intent
INTENT SingleCellAnalysis { goal: "Identify marker genes and clusters in a genomics dataset" boundaries { read: ["/data/genomics_sample/*.h5ad"] write: ["/tmp/analysis_output/"] forbidden: ["/external/*", "/clinical/*", "/patient/*"] tools: ["scanpy", "pandas", "matplotlib"] } drift_alerts { scope_expansion: ERROR unauthorized_tool: HALT } }
0Actions Validated
0Blocked
0msLast Validation Time
Ready. Click a step below to run it.

Validation times below are measured live in your browser via performance.now() — real timing of this demo's own JS logic, not a claim about a production system's latency.

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