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Enhance AI Security Roles and Data Protection#30

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GYFX35 merged 1 commit intomainfrom
enhance-security-ai-roles-8222030255952741699
Mar 17, 2026
Merged

Enhance AI Security Roles and Data Protection#30
GYFX35 merged 1 commit intomainfrom
enhance-security-ai-roles-8222030255952741699

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@GYFX35
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@GYFX35 GYFX35 commented Mar 17, 2026

This submission enhances the Global Security Platform's AI capabilities by introducing specialized roles for protecting critical infrastructure and identifying malicious software.

Key changes:

  • Created supply_chain_platform/security_tools.py containing heuristics for IoT tampering detection and malware behavior analysis.
  • Updated sensitive_data_scanner/scanner.py with new regex patterns to identify a wider range of sensitive data, including US Passport numbers, GCP Service Account keys, Azure Client Secrets, and HIPAA-compliant Health IDs.
  • Enhanced the Supply Chain CLI (supply_chain_main.py) with a new Security Analysis menu.
  • Added a "Security & Protection" tab to the SupplyChainPlatform React component, providing a user-friendly interface for monitoring infrastructure health and antivirus status.
  • Verified all backend logic with unit tests and validated frontend UI changes with Playwright screenshots.

PR created automatically by Jules for task 8222030255952741699 started by @GYFX35

Summary by Sourcery

Introduce AI-driven security capabilities for infrastructure protection and malware identification across the supply chain platform and sensitive data scanner.

New Features:

  • Add InfrastructureProtectionAI and AntivirusIdentificationAI components to analyze IoT tampering, facility access risk, and suspicious file behavior.
  • Extend the supply chain CLI with a Security Analysis workflow for IoT telemetry checks and antivirus metadata scans.
  • Add a Security & Protection tab in the SupplyChainPlatform UI to surface infrastructure health and antivirus status actions.
  • Expand the sensitive data scanner with patterns for US passports, GCP service account keys, Azure client secrets, and HIPAA-style health IDs.

…ion, and data protection

- Add `InfrastructureProtectionAI` for IoT tampering and facility vulnerability assessment.
- Add `AntivirusIdentificationAI` for malware signature and behavior identification.
- Expand `sensitive_data_scanner` with patterns for Passports, GCP/Azure keys, and HIPAA IDs.
- Integrate new security features into the Supply Chain CLI and React frontend.

Co-authored-by: GYFX35 <134739293+GYFX35@users.noreply.github.com>
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sourcery-ai bot commented Mar 17, 2026

Reviewer's Guide

Introduces dedicated AI security utilities for infrastructure protection and malware identification, wires them into the supply chain CLI and React UI as a new Security & Protection surface, and broadens the sensitive data scanner’s regex coverage for security-related identifiers and secrets.

Sequence diagram for CLI security analysis workflow

sequenceDiagram
  actor User
  participant SupplyChainCLI
  participant InfrastructureProtectionAI
  participant AntivirusIdentificationAI

  User->>SupplyChainCLI: start main()
  SupplyChainCLI->>User: display_menu (includes Security Analysis)
  User->>SupplyChainCLI: select option 4 (Security Analysis)
  SupplyChainCLI->>User: show Security Analysis submenu
  alt IoT tampering detection
    User->>SupplyChainCLI: select sub-option 1
    SupplyChainCLI->>User: prompt for voltage, temperature, rssi
    User->>SupplyChainCLI: provide telemetry values
    SupplyChainCLI->>InfrastructureProtectionAI: detect_iot_tampering(device_data)
    InfrastructureProtectionAI-->>SupplyChainCLI: status, score, findings
    SupplyChainCLI->>User: print IoT tampering analysis result
  else Antivirus metadata scan
    User->>SupplyChainCLI: select sub-option 2
    SupplyChainCLI->>User: prompt for filename, filesize_kb
    User->>SupplyChainCLI: provide file metadata
    SupplyChainCLI->>AntivirusIdentificationAI: scan_file_metadata(filename, filesize_kb)
    AntivirusIdentificationAI-->>SupplyChainCLI: risk, details
    SupplyChainCLI->>User: print antivirus scan result
  end
  User->>SupplyChainCLI: select option 5 (Exit)
  SupplyChainCLI-->>User: exit message
Loading

Class diagram for new AI security utilities

classDiagram
class InfrastructureProtectionAI {
  +detect_iot_tampering(device_data)
  +assess_facility_vulnerability(access_logs)
}

class AntivirusIdentificationAI {
  +SUSPICIOUS_EXTENSIONS
  +scan_file_metadata(filename, filesize_kb)
  +identify_malware_behavior_patterns(execution_logs)
}
Loading

File-Level Changes

Change Details Files
Add AI-based infrastructure protection and antivirus heuristic engines and expose them via the CLI Security Analysis flow.
  • Create InfrastructureProtectionAI to evaluate IoT telemetry for voltage, temperature, and RSSI anomalies and to assess facility access-log risk levels.
  • Create AntivirusIdentificationAI to flag suspicious files based on extension and size and to detect malware behavior patterns from execution logs.
  • Instantiate the new AI classes in the CLI entrypoint and add a Security Analysis menu with IoT tampering and antivirus metadata scan sub-flows, including user prompts and formatted output.
supply_chain_platform/security_tools.py
supply_chain_platform/supply_chain_main.py
Extend the sensitive data scanner to cover additional IDs and cloud secrets using regex patterns.
  • Add regex for generic 9-character US passport-like identifiers.
  • Detect embedded GCP service account keys by matching their JSON "type" field.
  • Add patterns for Azure client secrets and HIPAA-style Health IDs to the scanner’s signature map.
sensitive_data_scanner/scanner.py
Expose a Security & Protection tab in the React UI to surface infrastructure and antivirus status and actions.
  • Add a new Security & Protection tab toggle to the main platform navigation state.
  • Render a two-column Security panel showing IoT device health, latest AV scan status, and buttons that invoke logToBlockchain to record scans and signature updates.
src/SupplyChainPlatform.jsx

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@GYFX35 GYFX35 merged commit ded6c20 into main Mar 17, 2026
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Hey - I've found 1 issue, and left some high level feedback:

  • In security_tools.py, the imports re and random are not used and can be removed to keep the module lean and avoid confusion about unused dependencies.
  • The new regexes in sensitive_data_scanner/scanner.py (especially the US passport and Azure client secret patterns) are extremely broad and likely to generate many false positives; consider tightening them (e.g., with prefixes, word boundaries, or context around expected formats) before using them in a general scanner.
  • The new Security Analysis CLI flow in supply_chain_main.py converts user input to float without any error handling, which can cause the tool to crash on invalid input; consider wrapping these conversions in validation/try-except similar to the existing inventory risk branch.
Prompt for AI Agents
Please address the comments from this code review:

## Overall Comments
- In `security_tools.py`, the imports `re` and `random` are not used and can be removed to keep the module lean and avoid confusion about unused dependencies.
- The new regexes in `sensitive_data_scanner/scanner.py` (especially the US passport and Azure client secret patterns) are extremely broad and likely to generate many false positives; consider tightening them (e.g., with prefixes, word boundaries, or context around expected formats) before using them in a general scanner.
- The new Security Analysis CLI flow in `supply_chain_main.py` converts user input to `float` without any error handling, which can cause the tool to crash on invalid input; consider wrapping these conversions in validation/try-except similar to the existing inventory risk branch.

## Individual Comments

### Comment 1
<location path="supply_chain_platform/supply_chain_main.py" line_range="60-69" />
<code_context>
+            print("\n--- Security Analysis ---")
</code_context>
<issue_to_address>
**issue (bug_risk):** Security submenu input handling can raise unhandled exceptions and silently ignore invalid choices.

User inputs for voltage/temperature/RSSI and file size are cast directly to numeric types; non-numeric values will raise `ValueError` and terminate the program. Also, unsupported `sec_choice` values fall through with no message, unlike the main menu. Please wrap these conversions in `try/except` and add an `else` branch for invalid `sec_choice` to align robustness and user feedback with the main menu behavior.
</issue_to_address>

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Comment on lines +60 to +69
print("\n--- Security Analysis ---")
print("1. IoT Tampering Detection")
print("2. Antivirus Metadata Scan")
sec_choice = input("Select sub-option (1-2): ").strip()

if sec_choice == '1':
v = float(input("Enter device voltage: "))
t = float(input("Enter device temperature: "))
r = float(input("Enter signal RSSI: "))
result = infra_ai.detect_iot_tampering({'voltage': v, 'temperature': t, 'rssi': r})
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issue (bug_risk): Security submenu input handling can raise unhandled exceptions and silently ignore invalid choices.

User inputs for voltage/temperature/RSSI and file size are cast directly to numeric types; non-numeric values will raise ValueError and terminate the program. Also, unsupported sec_choice values fall through with no message, unlike the main menu. Please wrap these conversions in try/except and add an else branch for invalid sec_choice to align robustness and user feedback with the main menu behavior.

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