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


IntentBound: Biomedical Agent Safety Demo

🧬 IntentBound: Biomedical Agent Safety

Purpose-Aware Authorization for Life Sciences AI

Tailored for
Anthropic × Allen Institute × HHMI

The Challenge

Biomedical AI agents analyze petabyte-scale datasets, coordinate multi-agent workflows, and accelerate discovery from months to hours. But autonomous agents operating on sensitive research data need ironclad boundaries.

Traditional authorization fails because it only asks "who can do what" - never "why are you doing this?" When an agent pivots from analyzing single-cell data to accessing clinical trials or patient records, OAuth says "you have permission" but can't ask "does this serve your declared intent?"

IntentBound provides runtime intent enforcement - validating every action against explicit human purpose in real-time (<5ms overhead), preventing scope creep, data leakage, and compliance violations.

Select a Biomedical Scenario

🧬

Single-Cell RNA Sequencing

Analyze Allen Brain Atlas datasets while preventing unauthorized external data access

Allen Institute Multi-Modal Data Privacy
🔬

Brain Connectomics

Annotate electron microscopy data without modifying core datasets or accessing external repos

HHMI Janelia Petabyte-Scale Read-Only
✂️

CRISPR Protocol Planning

Design experiments with IRB compliance gates and biosafety verification

Regulatory Human-in-Loop Compliance
🤖

Multi-Agent Coordination

Agent swarms with propagated intent boundaries across delegation chains

Distributed Chain Safety Allen Focus

🧬 Single-Cell RNA Sequencing Analysis

Declared Intent 
INTENT SingleCellAnalysis {
  goal: "Identify marker genes and clusters in Allen Brain Atlas dataset"
  
  boundaries {
    read: ["/data/allen_brain_atlas/*.h5ad"]
    write: ["/tmp/analysis_output/"]
    forbidden: ["/external/*", "/clinical/*", "/patient/*"]
    tools: ["scanpy", "pandas", "matplotlib"]
  }
  
  success_criteria {
    output: "valid cluster report with UMAP visualization"
    no_external_calls: true
  }
  
  drift_alerts {
    scope_expansion: ERROR
    unauthorized_tool: HALT
  }
}
1
Load Dataset
Action: Read /data/allen_brain_atlas/cortex_sample.h5ad
✓
ALLOWED
Resource matches allowed pattern /data/allen_brain_atlas/*
Validation
2.1ms
Intent Match
100%
Security
HIGH
2
Run Clustering
Action: scanpy.tl.leiden(adata, resolution=0.5)
✓
ALLOWED
Tool 'scanpy' in approved list, serves clustering goal
Validation
1.8ms
Intent Match
98%
Security
HIGH
3
Attempted External Access
Action: Read /external/clinical_trials/gene_expression_benchmarks.csv
✗
BLOCKED
Resource '/external/*' explicitly forbidden. Agent attempted to "enhance analysis with external benchmarks" but this violates declared scope.
Validation
3.2ms
Intent Match
0%
Action
HALT
4
Generate Output
Action: Write /tmp/analysis_output/cluster_report.html
✓
ALLOWED
Destination in approved write directory, serves output goal
Validation
2.4ms
Intent Match
100%
Security
HIGH

Session Results

Actions Validated
4
Breaches Prevented
1
Avg Latency
2.4
milliseconds
False Positives
0

🔬 Brain Connectomics Annotation

Select the Single-Cell scenario above to see the interactive demo.
Additional scenarios available in full implementation.

✂️ CRISPR Protocol Planning

Select the Single-Cell scenario above to see the interactive demo.
Additional scenarios available in full implementation.

🤖 Multi-Agent Coordination

Select the Single-Cell scenario above to see the interactive demo.
Additional scenarios available in full implementation.

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