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1from sentinel import Engine
2
3model = Engine()
4model.load()
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6result = model.analyze("Incoming transaction log stream...")
7
8print(result)
9
10
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12
13📊 Ideal Use Cases
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15Financial fraud monitoring
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17Government data systems
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19National security infrastructure
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21Healthcare integrity pipelines
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23Big-data platforms (Snowflake, Databricks, etc.)
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25SOC / SIEM anomaly intelligence
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27
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30
31📦 Files Included
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33AI_Sentinel_enterprise_v1_final.ipynb – Full engine notebook including core logic, anomaly detection, remediation pipeline
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35README.md – Summary and usage information
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37
38
39---
40
41🚀 Status
42
43This is v1.0 enterprise build of AI Sentinel.
44A full standalone Python package + API server version is being prepared for release.
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46
47---
48
49💬 Contact
50
51For enterprise inquiries:
52reza@dataclear.tech