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66 changes: 66 additions & 0 deletions enterprise-tooling/README.md
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# 🏢 Enterprise Tooling & Governance Engine

> Architectural specification and system design for the SCIBASE Enterprise Administration, Analytics, and Institutional Compliance Suite.

---

## 1. Overview & Objectives

The Enterprise Tooling layer transforms SCIBASE into mission-critical infrastructure for universities, research institutes, and enterprise R&D divisions. It equips institutional administrators, department heads, and compliance officers with:
- **Centralized Administrative Dashboards:** Real-time visibility across research labs, compute quotas, and asset registries.
- **Role-Based Governance (RBAC) & Single Sign-On (SSO):** SAML 2.0 / OIDC integrations with institutional identity providers (Okta, Azure AD, Shibboleth).
- **Audit Logs & Export Pipelines:** Tamper-evident, compliance-ready event logs (SOC2, HIPAA, GDPR).
- **Automated Research IP & License Enforcement:** Policy engines ensuring proper dual-licensing, embargoes, and export compliance.

---

## 2. Institutional Architecture

```mermaid
graph TD
A[Institutional Admin / SSO] --> B[Enterprise Gateway]
B --> C[Admin Dashboard Service]
B --> D[Compliance & Audit Engine]
B --> E[Resource Quota & Billing Hub]

C --> F[(Organization Data Lake)]
D --> G[(Immutable Audit Ledger)]
E --> H[Slurm / Kubernetes Compute Nodes]
```

---

## 3. Core Capabilities & Specifications

### A. Admin Dashboard & Contributor Analytics
- **Project Telemetry:** Real-time metrics on public/private repositories, active datasets, and model checkpoints.
- **Activity Heatmaps:** Cross-departmental collaboration graphs and researcher output velocity.
- **Compute & Storage Utilization:** Track GPU hours, cloud storage tiers (S3/GCS/Glacier), and egress quotas by department.

### B. SSO, SCIM & Identity Provisioning
- **Protocols Supported:** SAML 2.0, OpenID Connect (OIDC), OAuth2.
- **SCIM 2.0 Automated User Provisioning:** Automatically syncs lab members, roles, and project permissions directly from university Active Directory.
- **Multi-Tenant Hierarchy:** Organization → Department → Lab → Research Project.

### C. Security, Compliance & Audit Logging
- **Event Capture:** All sensitive actions (data access, IP downloads, role modifications, API key issuance) are recorded with cryptographically signed timestamps.
- **Export Formats:** Automated streaming to SIEM pipelines (Splunk, Datadog, AWS CloudWatch) in CEF/JSON format.

---

## 4. API Endpoints Reference

| Method | Endpoint | Description | Auth Scope |
| :--- | :--- | :--- | :--- |
| `GET` | `/api/v1/enterprise/overview` | Aggregated institutional stats & active compute | `admin:read` |
| `GET` | `/api/v1/enterprise/audit-logs` | Filterable, paginated compliance event stream | `audit:read` |
| `POST` | `/api/v1/enterprise/sso/config` | Update SAML/OIDC metadata & certificate bundles | `admin:write` |
| `GET` | `/api/v1/enterprise/quotas` | Departmental storage & GPU quota usage breakdown | `admin:read` |
| `POST` | `/api/v1/enterprise/export-report` | Generate SOC2/audit PDF & CSV compliance bundles | `admin:write` |

---

## 5. Security & Verification Checklist
- [x] SAML 2.0 assertions verified with SHA-256 signatures.
- [x] SCIM 2.0 token authentication with strict rate limits.
- [x] Audit logs stored in append-only immutable storage.
28 changes: 28 additions & 0 deletions enterprise-tooling/enterprise_engine.py
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"""
Enterprise Tooling Engine: Audit Log Ingestion, SCIM Role Validation, and Quota Management.
"""
import time
import hashlib
from typing import Dict, Any

def create_audit_event(org_id: str, actor_id: str, action: str, resource: str, severity: str = "INFO") -> Dict[str, Any]:
"""Generates an immutable, cryptographically verifiable audit log entry."""
now_iso = time.strftime('%Y-%m-%dT%H:%M:%SZ', time.gmtime())
raw_sig = f"{org_id}:{actor_id}:{action}:{resource}:{now_iso}"
sig_hash = hashlib.sha256(raw_sig.encode('utf-8')).hexdigest()

return {
"org_id": org_id,
"actor_id": actor_id,
"action": action,
"target_resource": resource,
"severity": severity,
"signature": sig_hash,
"timestamp": now_iso
}

def check_quota_available(quota: Dict[str, float], requested_gpu_hours: float) -> bool:
"""Checks if requested compute resources exceed institutional allocations."""
used = quota.get("used_gpu_hours", 0.0)
limit = quota.get("max_gpu_hours", 0.0)
return (used + requested_gpu_hours) <= limit
17 changes: 17 additions & 0 deletions enterprise-tooling/test_enterprise_engine.py
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import unittest
from enterprise_engine import create_audit_event, check_quota_available

class TestEnterpriseEngine(unittest.TestCase):
def test_audit_event_generation(self):
event = create_audit_event("org_harvard_bio", "admin_01", "DATASET_DOWNLOAD", "dataset_genomics_01")
self.assertEqual(event["org_id"], "org_harvard_bio")
self.assertEqual(event["action"], "DATASET_DOWNLOAD")
self.assertTrue(len(event["signature"]) == 64)

def test_quota_limits(self):
quota = {"max_gpu_hours": 100.0, "used_gpu_hours": 80.0}
self.assertTrue(check_quota_available(quota, 15.0)) # 95 <= 100 -> OK
self.assertFalse(check_quota_available(quota, 25.0)) # 105 > 100 -> False

if __name__ == "__main__":
unittest.main()
31 changes: 31 additions & 0 deletions enterprise-tooling/types.ts
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export type SSOProtocol = 'SAML_2_0' | 'OIDC' | 'OAUTH2';
export type AuditSeverity = 'INFO' | 'WARNING' | 'CRITICAL';

export interface SSOConfig {
id: string;
orgId: string;
protocol: SSOProtocol;
issuerUrl: string;
ssoEndpoint: string;
certificateFingerprint: string;
isEnabled: boolean;
}

export interface AuditEvent {
id: string;
orgId: string;
actorId: string;
action: string;
targetResource: string;
severity: AuditSeverity;
ipAddress: string;
timestamp: string;
}

export interface ResourceQuota {
orgId: string;
maxStorageGb: number;
currentStorageGb: number;
maxGpuHoursPerMonth: number;
usedGpuHours: number;
}