Initial aiphsd skeleton and blueprint v1 7007966996010148688

[abdulraheemnohri]

Summary by CodeRabbit

• New Features

  • Introduced edge monitoring and WebAssembly-based traffic analysis
  • Added adversarial AI defense to detect and block injection attacks
  • Implemented Zero Trust policy engine with multi-factor verification
  • Added threat intelligence sharing via STIX 2.1 and TAXII protocols
  • Launched SOAR playbook automation engine
  • Integrated blockchain audit trail for compliance
  • Added immersive 3D WebXR SOC visualization component
  • Introduced risk forecasting analytics
  • Deployed distributed alert hub system
  • Added post-quantum cryptography support

• Chores

  • Updated to v1.3.0 "Wasm Edge / Zero Trust"
  • Added CI/CD pipeline for polyglot component releases

[coderabbitai]

Caution

Review failed

The pull request is closed.

ℹ️ Recent review info

⚙️ Run configuration

Configuration used: defaults

Review profile: CHILL

Plan: Pro

Run ID: 01a4226e-9962-4741-9b07-d427fa9375ed

📥 Commits

Reviewing files that changed from the base of the PR and between 4dab169 and c7668a5.

📒 Files selected for processing (14)

• .github/workflows/polyglot-specialized.yml
• README.md
• agents/wasm/monitor.ts
• agents/zig/parser.zig
• ai_module/adversarial_shield.py
• ai_module/forecaster.jl
• backend/python/app/api/__init__.py
• backend/python/app/api/cti.py
• backend/python/app/services/soar.py
• backend/python/app/services/zero_trust.py
• frontend/react-ts/src/components/ThreeDSOC.tsx
• integrations/blockchain/audit_chain.go
• integrations/elixir/alert_hub.ex
• rust_module/src/lib.rs

---

📝 Walkthrough

Walkthrough

Introduces v1.3.0 with polyglot language support (Zig, WebAssembly, Julia, Elixir, Go, Rust), adversarial AI defense, zero trust policy enforcement, SOAR automation, blockchain audit trails, CTI endpoints (STIX 2.1/TAXII), and immersive 3D SOC visualization alongside a corresponding CI workflow for building and testing specialized components.

Changes

Cohort / File(s)	Summary
CI/Release Workflow .github/workflows/polyglot-specialized.yml	New GitHub Actions workflow for building Zig parser, WebAssembly monitor, testing Julia forecaster, and compiling Elixir alert hub on version tag pushes or manual dispatch.
Documentation & Branding README.md	Updated to v1.3.0 "Wasm Edge / ZeroTrust" theme; replaced stack selection section with feature highlights (edge monitoring, adversarial shield, zero trust, blockchain audit, WebXR SOC, STIX/TAXII sharing) and polyglot technology matrix.
Polyglot Agent Implementations agents/wasm/monitor.ts, agents/zig/parser.zig	Added AssemblyScript traffic monitoring with threshold comparison and heartbeat generation; added Zig packet parser with IPv4/port extraction and structured Packet type.
AI/ML Security Modules ai_module/adversarial_shield.py, ai_module/forecaster.jl	Introduced adversarial input scanner with regex-based injection detection; added Julia-based risk trend predictor using iterative scaling from baseline.
Backend API Layer backend/python/app/api/__init__.py, backend/python/app/api/cti.py	Registered CTI router with threat intelligence endpoints; added authenticated STIX indicator retrieval and TAXII upload simulation with ISO timestamps.
Backend Services backend/python/app/services/zero_trust.py, backend/python/app/services/soar.py	Introduced zero trust policy engine with adaptive trust scoring based on location/MFA/compliance context; added SOAR playbook engine simulating ordered step execution with logging.
Frontend & Integration Components frontend/react-ts/src/components/ThreeDSOC.tsx, integrations/blockchain/audit_chain.go, integrations/elixir/alert_hub.ex	Added React MUI-based 3D SOC viewer component with WebXR entry point; implemented Go blockchain audit chain with SHA-256 hashing; created Elixir alert hub with severity-based routing and heartbeat timeout.
Polyglot Refactoring rust_module/src/lib.rs	Simplified risk score calculation logic; condensed malware detection string matching; added post-quantum cryptography stubs (PQC encryption/signature verification).

Sequence Diagrams

sequenceDiagram
    participant Client
    participant AdversarialShield as Adversarial Shield
    participant ZeroTrust as Zero Trust Engine
    participant CTIEndpoint as CTI API
    participant Database as Data Store

    Client->>AdversarialShield: user_query
    activate AdversarialShield
    AdversarialShield->>AdversarialShield: scan_input(regex patterns)
    alt Injection Detected
        AdversarialShield-->>Client: {safe: False, action: BLOCK_QUERY}
    else Safe Query
        AdversarialShield-->>ZeroTrust: proceed with context
    end
    deactivate AdversarialShield

    activate ZeroTrust
    ZeroTrust->>ZeroTrust: evaluate_access_request(device_id, user_id, context)
    ZeroTrust->>ZeroTrust: compute trust_score (location, MFA, compliance)
    alt trust_score > 0.5
        ZeroTrust-->>CTIEndpoint: {authorized: True}
    else trust_score ≤ 0.5
        ZeroTrust-->>Client: {authorized: False, risk_factors: [...]}
    end
    deactivate ZeroTrust

    activate CTIEndpoint
    CTIEndpoint->>Database: fetch STIX indicators
    Database-->>CTIEndpoint: stix_objects
    CTIEndpoint-->>Client: {type: "STIX_2.1", indicators: [...], timestamp}
    deactivate CTIEndpoint

Loading

sequenceDiagram
    participant User
    participant SOAREngine as SOAR Engine
    participant Playbook as Playbook Store
    participant Logger as Execution Log

    User->>SOAREngine: execute_playbook(playbook_id, context)
    activate SOAREngine
    SOAREngine->>Playbook: lookup playbook steps
    Playbook-->>SOAREngine: steps[{number, action, target}, ...]
    
    loop For Each Step
        SOAREngine->>SOAREngine: execute step (print progress)
        SOAREngine->>Logger: log_execution({step, action, status: COMPLETED, timestamp})
        Logger-->>SOAREngine: entry recorded
    end
    
    SOAREngine-->>User: execution_log[]
    deactivate SOAREngine

Loading

sequenceDiagram
    participant Input as Risk Data
    participant Forecaster as Julia Forecaster
    participant Calculator as Risk Scorer
    participant Output as Predictions

    Input->>Forecaster: current_risks[], days
    activate Forecaster
    Forecaster->>Forecaster: baseline = last(current_risks)
    
    loop Generate days Projections
        Forecaster->>Calculator: baseline * (1 + 0.05 * rand())
        Calculator-->>Forecaster: projected_score
        Forecaster->>Forecaster: append to projections[]
    end
    
    Forecaster-->>Output: projections[]{Float64}
    deactivate Forecaster

Loading

Estimated code review effort

🎯 4 (Complex) | ⏱️ ~50 minutes

Possibly related PRs

• feat: phase 8 universal polyglot sentinel #8: Introduces multiple language-specific GitHub Actions release workflows; both PRs add polyglot language build/test orchestration under .github/workflows/ for coordinated releases.

Poem

🐰 A hop through code with ZeroTrust care,
WASM whispers through the air,
Zig and Julia dance so free,
Adversarial shields guard thee,
v1.3.0, polyglot spree! 🎉

✨ Finishing Touches

📝 Generate docstrings

• Create stacked PR
• Commit on current branch

🧪 Generate unit tests (beta)

• Create PR with unit tests
• Commit unit tests in branch initial-aiphsd-skeleton-and-blueprint-v1-7007966996010148688

---

_{Comment @coderabbitai help to get the list of available commands and usage tips.}