GIAP™ — GRC Integrated Automation Platform¶

Updated: February 21, 2026

Role: Sole architect and implementer | 829 lines of portal code | 9 n8n workflows | 8 integrated services

Stack Positioning¶

GIAP™ operates as the Agentic GRC Layer within the Governed Agentic Security Stack. While the Agentic Infrastructure layer governs the AI execution environment and the Agentic Detection layer monitors external and behavioral signals, GIAP governs the compliance workflows those agents execute.

In this architecture, AI is not merely assisting documentation — it is embedded into operational governance. GIAP ensures that intake, control mapping, risk scoring, and POA&M generation occur within a structured, deposit-gated, audit-ready framework.

End-to-End Workflow¶

GIAP™ implements a two-phase workflow with a clear deposit gate separating pre-engagement qualification from paid consulting work. CISO Assistant serves as the single GRC platform for both phases — API-first with 100+ framework mappings.

flowchart TB
    subgraph PRE["PRE-ENGAGEMENT"]
        direction TB
        P["Prospect"]
        PIF["Pre-Intake"]
        CA["CISO Assistant"]
        QG["Gap Analysis"]
        FS["Framework Fit"]
        RP["Risk Profile"]
        CRM["SuiteCRM"]
        DS["DocuSeal"]

        P --> PIF --> CA
        CA --> QG
        CA --> FS
        CA --> RP
        QG --> CRM
        FS --> CRM
        RP --> CRM
        CRM --> DS
    end

    DG["DEPOSIT GATE"]

    subgraph POST["POST-ENGAGEMENT"]
        direction TB
        CA2["CISO Assistant"]
        RM["Risk Register"]
        CT["Control Testing"]
        NC["Nextcloud"]
        POA["POAM Agent"]
        REM["Remediation"]
        VCISO["vCISO Cycle"]

        CA2 --> RM
        CA2 --> CT
        RM --> NC
        CT --> NC
        NC --> POA
        POA --> REM --> VCISO
    end

    DS --> DG
    DG --> CA2
    VCISO -.-> CA2

    style PRE fill:#e8f4ea,stroke:#2e7d32,stroke-width:2px
    style POST fill:#e0f2fe,stroke:#0284c7,stroke-width:2px
    style DG fill:#fff3e0,stroke:#ef6c00,stroke-width:3px

Figure: Two-phase GRC workflow diagram. Pre-engagement (green) flows from prospect through intake, CISO Assistant gap analysis, CRM, to DocuSeal. Orange deposit gate separates phases. Post-engagement (blue) continues through risk register, control testing, Nextcloud evidence, POA&M, and vCISO cycle.

Client Engagement Lifecycle (Detailed)¶

The following diagram expands each phase with technical integration points:

flowchart TB
    subgraph P1["<b>PHASE 1: QUALIFICATION</b>"]
        A[Client Discovery] --> B[Pre-Intake Form<br/>portal.aamcyber.work/demo]
        B --> C{Qualify & Decide}
        C -->|No| D[Decline / Referral]
        C -->|Yes| E[Proceed to Engagement]
    end

    subgraph P2["<b>PHASE 2: ENGAGEMENT</b>"]
        F[DocuSeal: NDA +<br/>Engagement Letter] -->|n8n Flow #2| G[Client Signs]
        G -->|n8n Flow #3| H[Signed PDF → Nextcloud<br/>Update SuiteCRM Case]
    end

    subgraph GATE["DEPOSIT GATE<br/><i>n8n Flow #4 polls status</i>"]
        I{Deposit<br/>Received?}
        I -->|No| J[Hold - Follow Up]
        I -->|Yes| K[Send Full Intake Link]
    end

    subgraph P3["<b>PHASE 3: FULL INTAKE</b>"]
        L[Full Intake Wizard<br/>13 sections, 67 fields] -->|HMAC webhook| M[n8n Flow #1]
        M --> N[JSON log → Nextcloud<br/>Lead/Case → SuiteCRM<br/>Sync → CISO Assistant]
    end

    subgraph P4["<b>PHASE 4: ASSESSMENT</b>"]
        O[CISO Assistant<br/>API import] --> P[Assessment Work<br/>Physical / Remote]
        P --> Q[Findings → CISO Assistant<br/>Risk Register]
    end

    subgraph P5["<b>PHASE 5: OUTPUT</b>"]
        R[CISO Assistant Reports] --> S[Nextcloud Delivery<br/>10-Legal / 20-Intake<br/>30-Assessment / 40-Reports]
        S --> T[Final Invoice<br/>Engagement Closed]
    end

    E --> F
    H --> I
    K --> L
    N --> O
    Q --> R

    style GATE fill:#fff3e0,stroke:#ef6c00,stroke-width:3px
    style P1 fill:#e7f5ff,stroke:#1971c2
    style P2 fill:#fff3bf,stroke:#f59f00
    style P3 fill:#d3f9d8,stroke:#2f9e44
    style P4 fill:#e5dbff,stroke:#7950f2
    style P5 fill:#ffe8cc,stroke:#e8590c

Figure: Detailed 5-phase client engagement lifecycle. Phase 1 (Qualification) handles discovery and pre-intake. Phase 2 (Engagement) manages DocuSeal NDA signing. Deposit gate polls for payment status. Phase 3 (Full Intake) processes the 13-section wizard via HMAC webhook. Phase 4 (Assessment) imports to CISO Assistant. Phase 5 (Output) delivers reports via Nextcloud.

Platform Roles¶

Why Single GRC Platform?¶

Architecture Overview¶

GIAP's orchestration layer assumes infrastructure congruence across AI execution environments. Without drift-controlled agent infrastructure, intake processing and control mapping can produce non-reproducible outputs. This dependency is intentionally governed by the Agentic Infrastructure layer of the stack.

GIAP™ is a streamlined GRC automation platform with n8n orchestration and a single GRC platform (CISO Assistant):

flowchart TB
    subgraph EDGE[EDGE LAYER]
        CF[Cloudflare DNS/WAF]
        NPM[Nginx Proxy Manager]
    end

    subgraph UI[PRESENTATION LAYER]
        PORTAL[Intake Portal v2.2]
    end

    subgraph ORCH[ORCHESTRATION LAYER]
        N8N[n8n Workflows]
        RESEND[Resend API]
    end

    subgraph DATA[DATA LAYER]
        direction LR
        CA[CISO Assistant]
        CRM[SuiteCRM]
        NC[Nextcloud]
        DS[DocuSeal]
    end

    CF --> NPM
    NPM --> PORTAL
    NPM --> N8N
    PORTAL -->|HMAC Webhook| N8N
    N8N --> CA
    N8N --> CRM
    N8N --> NC
    N8N --> DS
    N8N --> RESEND

    style EDGE fill:#fef2f2,stroke:#dc2626,stroke-width:2px
    style UI fill:#f3e8ff,stroke:#7c3aed,stroke-width:2px
    style ORCH fill:#fef3c7,stroke:#d97706,stroke-width:2px
    style DATA fill:#e0f2fe,stroke:#0284c7,stroke-width:2px

Figure: Four-layer GIAP architecture. Edge layer (red) handles Cloudflare DNS/WAF and Nginx Proxy Manager. Presentation layer (purple) serves the intake portal. Orchestration layer (orange) manages n8n workflows and Resend email API. Data layer (blue) contains CISO Assistant, SuiteCRM, Nextcloud, and DocuSeal.

n8n Workflow Pipeline¶

Flow #1 shows the complete intake pipeline: HMAC-authenticated webhook → JSON conversion → Nextcloud storage → SuiteCRM OAuth2 lead creation → email + Signal notifications.

Working Workflow: GIAP Intake Simple¶

The first n8n workflow is operational and logging intake submissions to Nextcloud:

flowchart TD
    subgraph WORKFLOW["GIAP Intake Simple Workflow"]
        direction LR
        A["Portal v2.2"]
        B["n8n"]
        C["Nextcloud WebDAV"]
    end
    D["Log File"]

    A -->|"POST /webhook/giap-simple"| B
    B -->|"HTTP Request PUT"| C
    C -->|"Output: /GIAP-Intakes/....json"| D

    style C fill:#f9f,stroke:#333,stroke-width:2px
    style D fill:#bbf,stroke:#333,stroke-width:2px

Figure: Simple intake workflow showing Portal v2.2 sending POST requests to n8n webhook, which then stores JSON logs to Nextcloud via WebDAV HTTP PUT.

Verified: End-to-end test successful (January 2026). Intake JSON files automatically created in Nextcloud GIAP-Intakes/ folder. 20+ consecutive successful workflow executions after Signal-CLI hardening.

Data Flow¶

flowchart TB
    subgraph PRE["PRE-ENGAGEMENT"]
        direction TB
        PORTAL["Intake Portal"] --> N8N1["n8n: Intake"]
        N8N1 --> NC1["Nextcloud JSON"]
        N8N1 --> CRM["SuiteCRM Lead"]
        N8N1 --> RESEND1["Resend: Notification"]
        CRM --> DS["DocuSeal"]
        DS --> N8N2["n8n: Signed Callback"]
        N8N2 --> RESEND2["Resend: Confirmation"]
    end

    DG["DEPOSIT GATE"]

    subgraph POST["POST-ENGAGEMENT"]
        direction TB
        CA["CISO Assistant"] --> N8N3["n8n: Assessment"]
        N8N3 --> NC2["Nextcloud Evidence"]
        NC2 --> POA["POAMAgent"]
        POA --> REM["Remediation"]
        REM --> VCISO["vCISO Cycle"]
    end

    DS --> DG
    DG --> CA
    VCISO -.-> CA

    style PRE fill:#e8f4ea,stroke:#2e7d32,stroke-width:2px
    style POST fill:#e0f2fe,stroke:#0284c7,stroke-width:2px
    style DG fill:#fff3e0,stroke:#ef6c00,stroke-width:3px

Figure: Complete data flow through GIAP. Pre-engagement (green) routes from intake portal through n8n to Nextcloud, SuiteCRM, and DocuSeal for signatures. Deposit gate (orange) separates phases. Post-engagement (blue) flows through CISO Assistant to evidence storage, POA&M generation, remediation tracking, and vCISO cycles.

POAMAgent — Custom POA&M Generator¶

No dedicated open-source POA&M generator exists. For a boutique consulting firm, custom tooling is the right choice:

POAMAgent Capabilities¶

# POAMAgent outputs
poam_agent = {
    "inputs": ["ciso_assistant_gaps", "aam_unified_controls", "client_context"],
    "outputs": {
        "executive_summary": "1-page risk overview (PDF)",
        "detailed_poam": "Full remediation plan with milestones (MD/CSV/PDF)",
        "task_export": "Task list for remediation tracking (JSON)"
    },
    "templates": "Jinja2 → Markdown → WeasyPrint PDF",
    "branding": "AAM Cyber deliverable format"
}

Implementation Scope¶

Future: MCP Integration¶

GIAP™ can integrate with Claude and other AI assistants via Model Context Protocol (MCP) for natural language queries against GRC data:

Example Conversation¶

User: New prospect came in — healthcare practice, 25 employees, M365 + on-prem EHR.
      Quick assessment before our sales call?

Claude: [Reads giap://controls/frameworks/hipaa/quick-assessment]
        [Reads giap://controls/frameworks/soc2/quick-assessment]

Quick Assessment for Healthcare Practice:

Recommended Frameworks: HIPAA (required), SOC 2 (recommended for vendors)

Likely Gaps (based on profile):
- §164.312(a) Access Control — EHR access reviews needed
- §164.308(a)(1) Risk Analysis — Likely missing formal risk assessment
- CC6.2 Logical Access — M365 MFA status unknown

Suggested Engagement: HIPAA Security Rule assessment + SOC 2 readiness
Estimated Scope: 40-60 hours

Ready to create intake in SuiteCRM?

Technology Stack¶

CISO Assistant — Single GRC Platform¶

CISO Assistant serves as the single GRC platform for both pre-engagement and post-engagement work:

Why CISO Assistant over Eramba CE?

Framework Coverage¶

CISO Assistant provides 100+ pre-loaded frameworks with auto-mapping. Current implementation depth for GIAP™ intake workflows:

HIPAA Coverage¶

GIAP™ supports HIPAA Security Rule and Privacy Rule compliance for healthcare clients and business associates:

Industry Profiles¶

GIAP™ intake schema includes jurisdiction-aware, industry-specific modules with auto-detected compliance requirements:

PropTech/IoT Compliance (Emerging Use Case)¶

GIAP™ extends to PropTech and IoT vendor compliance — an emerging challenge for regulated workspaces operating in smart buildings or residential environments:

PropTech Compliance Workflow:

flowchart LR
    subgraph INTAKE[VENDOR INTAKE]
        VI[Vendor Info]
        PP[Privacy Policy]
        TC[Technical Capabilities]
    end

    subgraph ANALYSIS[GAP ANALYSIS]
        CR[Control Requirements]
        GA[Gap Assessment]
        RS[Risk Score]
    end

    subgraph OUTPUT[DECISION]
        RM[Risk Memo]
        ER[Exception Request]
        ET[Evidence Trail]
    end

    VI --> CR
    PP --> GA
    TC --> GA
    CR --> GA
    GA --> RS
    RS --> RM
    RS --> ER
    RM --> ET
    ER --> ET

    style INTAKE fill:#e8f4ea,stroke:#2e7d32
    style ANALYSIS fill:#fff3e0,stroke:#ef6c00
    style OUTPUT fill:#e0f2fe,stroke:#0284c7

Figure: PropTech vendor compliance workflow. Vendor intake (green) captures vendor info, privacy policy, and technical capabilities. Gap analysis (orange) maps control requirements to assessment and risk scoring. Decision output (blue) produces risk memos, exception requests, and evidence trails.

Why this matters: Remote work and regulated home offices are increasing. Smart building technology creates compliance conflicts that traditional GRC tools don't address. GIAP™ provides a structured approach to vendor risk assessment for IoT deployments.

AAM Unified Controls¶

Proprietary control framework that normalizes intake responses and maps to all supported frameworks:

framework: AAM-Custom-GRC
client: Healthcare Practice A
version: 1.0
controls:
  - id: AAM.ACCESS-01
    status: partial
    notes: Offboarding not documented
    frameworks:
      SOC2: CC6.2
      NIST-CSF: PR.AC-1
      CISv8: 6.2
      HIPAA: §164.312(a)(1)

Control Mapping Examples¶

Target Metrics¶

Metrics represent design targets based on architecture specifications.

vCISO Continuous Compliance¶

GIAP™ supports 90-day recurring assessment cycles for vCISO engagements:

1. CISO Assistant → Delta assessment questionnaire, control re-testing
2. n8n Workflow → Trigger assessment, collect evidence, update records
3. Nextcloud → Evidence vault updates
4. POAMAgent → Updated POA&M (new gaps vs. closed items)
5. SuiteCRM → Timestamped audit trail, billing trigger

Business Impact: Enables recurring vCISO engagements with automated quarterly reviews and continuous compliance monitoring.

Implementation Status¶

Security Architecture¶

Portal Security Hardening (v2.2)¶

The intake portal underwent comprehensive security hardening with expert panel review:

Code Sample — Security Implementation:

// XSS Prevention - strips HTML tags to prevent injection
const stripHtml = (str) => {
  if (typeof str !== "string") return "";
  return str.replace(/<[^>]*>/g, "").trim();
};

// RFC 5322 compliant email validation
const isValidEmail = (email) => {
  const emailRegex = /^[a-zA-Z0-9.!#$%&'*+/=?^_`{|}~-]+@[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?(?:\.[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?)*$/;
  return emailRegex.test(email) && email.length <= 254;
};

// Rate limiting - 5 second throttle prevents form spam
let lastSubmission = 0;
const THROTTLE_MS = 5000;

// Honeypot - fake success for bots filling hidden field
if (error === "HONEYPOT") {
  showAlert("Thank you! Your request has been submitted.", "success");
  return; // Don't actually submit
}

Webhook Authentication (HMAC-SHA256)¶

Portal-to-n8n webhook communication uses HMAC-SHA256 signature verification to ensure request authenticity, payload integrity, and replay prevention:

sequenceDiagram
    participant P as Portal
    participant N as n8n Webhook

    P->>P: Build payload
    P->>P: Get timestamp (epoch ms)
    P->>P: Compute HMAC-SHA256
    P->>N: POST with X-GIAP-Timestamp and X-GIAP-Signature headers
    N->>N: Extract timestamp and signature
    N->>N: Recompute HMAC with same secret
    N->>N: Compare signatures
    N->>N: Verify timestamp less than 5 min old
    alt Valid
        N->>N: Process request
    else Invalid
        N->>P: Reject 401
    end

Figure: HMAC-SHA256 webhook authentication sequence. Portal builds payload, generates timestamp, computes HMAC signature, and sends POST with authentication headers. n8n webhook extracts timestamp/signature, recomputes HMAC, compares signatures, validates timestamp freshness (5-minute window), then processes or rejects the request.

Attack Prevention:

Code Sample — HMAC Signature Generation:

// Generate HMAC-SHA256 signature for webhook authentication
async function generateSignature(payload, secret) {
  const timestamp = Date.now();
  const message = `${timestamp}.${JSON.stringify(payload)}`;

  const encoder = new TextEncoder();
  const key = await crypto.subtle.importKey(
    'raw', encoder.encode(secret),
    { name: 'HMAC', hash: 'SHA-256' }, false, ['sign']
  );

  const signature = await crypto.subtle.sign('HMAC', key, encoder.encode(message));
  const hex = Array.from(new Uint8Array(signature))
    .map(b => b.toString(16).padStart(2, '0')).join('');

  return { timestamp, signature: `sha256=${hex}` };
}

GIAC API Security Hardening (January 2026)¶

The GIAC API (FastAPI backend) implements production-grade security controls for token management and intake processing:

Why these controls matter:

• Rate limiting prevents brute-force token enumeration and abuse
• IP audit logging enables forensic analysis of suspicious activity
• Shortened JWT expiry reduces window of token compromise
• Token binding ensures deposit workflow integrity (Flow #4 fix)

# Rate limiting with slowapi
from slowapi import Limiter
from slowapi.util import get_remote_address

limiter = Limiter(key_func=get_remote_address)

@app.post("/api/token")
@limiter.limit("5/15minutes")
async def generate_token(request: Request):
    # IP logged on every attempt
    logger.info(f"Token request from {request.client.host}")
    ...

Signal Integration¶

GIAP™ implements a hybrid notification model using both Signal and email for operational alerts and status monitoring.

Signal Command Bot¶

A dedicated Signal bot monitors the GIAP Alerts group and responds to 12 operational commands:

Notification Events¶

Technical Implementation¶

• Bot Infrastructure: signal-cli-rest-api container (bbernhard/signal-cli-rest-api:latest)
• Registration: Primary device (not linked) — maintains persistent websocket connection
• Polling Interval: 30 seconds
• Execution Time: ~5 seconds per cycle (optimized from 275s in v3.7)
• API Version: signal-cli v0.13.x
• Group: GIAP Alerts (base64-encoded group ID)
• Architecture: v3.8 with chained Merge nodes and LAN IP routing

Architecture Evolution (v3.0 → v3.8):

• v3.5: Fixed race condition (multiple responses) using chained Merge nodes. Root cause: n8n Code nodes execute when ANY input arrives, not ALL. Solution: chain Merge nodes (mode: "append") to synchronize 5 parallel data sources.
• v3.7 → v3.8: Diagnosed 275-second execution time caused by Tailscale IP routing failure to Uptime Kuma. Fixed by switching to LAN IP (192.168.8.177), reducing execution to ~5 seconds.
• Primary Device Fix: Re-registered signal-cli as primary device (not linked) to maintain persistent websocket connection — linked devices lose connection when idle.

Chained Merge Pattern (v3.5+):

flowchart LR
    subgraph SOURCES["Data Sources"]
        SIG[Signal API]
        STAT[Status Check]
        HB[Heartbeats]
        BK[Backups]
        CRM[CRM Auth] --> LEADS[Leads Query]
    end

    subgraph MERGE["Chained Merge Pattern"]
        M1[Merge 1]
        M2[Merge 2]
        M3[Merge 3]
        M4[Merge 4]
    end

    subgraph OUTPUT["Processing"]
        CODE[Code Node]
        SEND[Send Response]
    end

    SIG --> M1
    STAT --> M1
    M1 --> M2
    HB --> M2
    M2 --> M3
    BK --> M3
    M3 --> M4
    LEADS --> M4
    M4 --> CODE --> SEND

    style SOURCES fill:#e8f4ea,stroke:#2e7d32
    style MERGE fill:#fff3e0,stroke:#ef6c00
    style OUTPUT fill:#e0f2fe,stroke:#0284c7

Figure: Signal bot v3.8 architecture solving async race conditions. Five data sources (Signal API, Status Check, Heartbeats, Backups, CRM/Leads) feed into chained Merge nodes (mode: append) that synchronize all inputs before processing. Final Code node handles routing logic and sends response.

Why this matters: Demonstrates n8n workflow architecture expertise, debugging complex async patterns, network troubleshooting (Tailscale vs LAN routing), Signal protocol knowledge (primary vs linked device), and production-grade operational tooling. The 275s → 5s optimization shows systematic root cause analysis.

Security Hardening (January 2026):

Why Signal? End-to-end encryption, no vendor lock-in, mobile-first alerts for time-sensitive GRC operations. The hybrid model ensures redundancy — if email is delayed, Signal provides immediate notification.

Output Artifacts¶

POA&M Example¶

{
  "poam_id": "AAM-POAM-2025-0042",
  "client": "Healthcare Practice A",
  "generated": "2025-01-15T10:00:00Z",
  "generator": "POAMAgent v1.0",
  "frameworks": ["HIPAA", "SOC2"],
  "summary": {
    "total_items": 12,
    "high": 3,
    "medium": 6,
    "low": 3
  },
  "items": [
    {
      "id": "POAM-001",
      "control": "AAM.ACCESS-01",
      "issue": "No documented offboarding process",
      "severity": "High",
      "recommended_action": "Implement offboarding checklist and admin access revocation SOP",
      "target_date": "2025-02-01",
      "frameworks": ["SOC2_CC6.2", "HIPAA_164.312(a)"],
      "ciso_assistant_task_id": "CA-TASK-4521"
    }
  ]
}

Intake JSON Schema¶

{
  "intake_id": "GIAP-2025-0042",
  "phase": "post-engagement",
  "client": "Healthcare Practice A",
  "industry": "Healthcare",
  "size": 25,
  "tech_stack": ["M365", "EHR System", "Nextcloud"],
  "risk_profile": "PHI-heavy",
  "frameworks": ["SOC2", "NIST-CSF", "HIPAA"],
  "pre_engagement": {
    "ciso_assistant_assessment_id": "CA-2025-0042",
    "quick_gaps_identified": 5,
    "deposit_received": true,
    "engagement_signed": "2025-01-10T14:30:00Z"
  },
  "post_engagement": {
    "ciso_assistant_project_id": "CA-PRJ-2025-0042",
    "full_gaps_identified": 12,
    "poam_generated": true
  }
}

Skills Demonstrated¶

What This Demonstrates (Agentic GRC Layer Capabilities)¶

• Senior-level systems architecture — Multi-agent orchestration with clear two-phase workflow
• Operational automation — End-to-end intake workflow with n8n, webhooks, and WebDAV integration; Signal bot v3.8 resolved async race conditions and achieved 98% execution time reduction (275s → 5s) through systematic network troubleshooting
• Security engineering discipline — Comprehensive portal hardening with XSS prevention, rate limiting, and WCAG 2.1 AA compliance
• API security maturity — HMAC-SHA256 webhook authentication with replay attack prevention and cryptographic integrity verification
• CI/CD in production — GitHub Actions lint/test gates and portal deploy workflow with secrets checks and secure remote sync
• Right tool for the job — CISO Assistant for both speed and depth with 100+ frameworks
• Custom tooling capability — POAMAgent built in-house for branded deliverables
• Enterprise GRC platform experience — CISO Assistant for production risk, compliance, and control management
• AI/LLM integration expertise — MCP protocol for natural language GRC queries
• Healthcare compliance depth — HIPAA Security/Privacy Rule implementation
• Production-grade security — RBAC, audit logging, PHI protection, deposit gate
• Operational transparency — Public status page (status.aamcyber.com) demonstrates "practice what we preach" approach to availability monitoring
• Emerging vertical expertise — PropTech/IoT compliance for regulated workspaces
• GRC domain depth — Cross-framework mapping, POA&M generation, evidence pipelines
• Full-stack capability — Static portal + n8n workflows + infrastructure automation
• Consulting delivery model — Productized vCISO service with 90-day cycles

Pairs with Cloud Control Pack for cloud governance and TraceLock™ for RF/physical security — demonstrating end-to-end security engineering capability.

GIAP™ demonstrates how AI-driven compliance workflows can be governed as a production security system — not merely automated as a convenience tool.

Contact LinkedIn

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