AI Features

CyberOrigen leverages multiple AI providers to deliver intelligent security and compliance automation.

AI Providers

CyberOrigen supports multiple AI backends:

Provider	Model	Use Case
Anthropic	Claude 3.5 Sonnet	Primary analysis
OpenAI	GPT-4o	Alternative analysis
Google	Gemini Pro	Supplementary analysis

Configure your preferred provider in Settings → AI Configuration.

Intelligent Vulnerability Triage

Automatic Prioritization

AI analyzes vulnerabilities considering:

• CVSS Score: Base severity rating
• Exploitability: Known exploits in the wild
• Business Context: Asset criticality
• Attack Surface: Exposure level
• Dependencies: Related vulnerabilities

Example AI Analysis

┌────────────────────────────────────────────────────────────┐
│ AI Priority Assessment: CVE-2024-1234                      │
├────────────────────────────────────────────────────────────┤
│ Base CVSS: 7.5 (High)                                      │
│ AI Adjusted Priority: CRITICAL                             │
│                                                            │
│ Reasoning:                                                 │
│ • Active exploitation detected in threat intelligence      │
│ • Affects internet-facing production system                │
│ • No authentication required for exploitation              │
│ • Patch available but not yet applied                      │
│                                                            │
│ Recommendation: Patch within 24 hours                      │
└────────────────────────────────────────────────────────────┘

AI-Powered Remediation

Step-by-Step Guidance

AI generates context-aware remediation instructions:

## Remediation Steps for CVE-2024-1234

Based on your detected configuration (nginx 1.22 on Ubuntu 22.04):

1. **Backup current configuration**
   ```bash
   sudo cp /etc/nginx/nginx.conf /etc/nginx/nginx.conf.backup

2. Update nginx to patched version

   sudo apt update
   sudo apt install nginx=1.24.0-1ubuntu1

3. Verify the update

   nginx -v

4. Restart the service

   sudo systemctl restart nginx

5. Verify fix Run a targeted rescan to confirm remediation.

### Code Suggestions

For application vulnerabilities, AI provides code fixes:

```python
# Vulnerable code detected
user_input = request.args.get('id')
query = f"SELECT * FROM users WHERE id = {user_input}"

# AI-suggested fix
user_input = request.args.get('id')
query = "SELECT * FROM users WHERE id = %s"
cursor.execute(query, (user_input,))

Compliance Assistant

Control Implementation Guidance

AI helps implement compliance controls:

User: "How do I implement SOC 2 CC6.1 Access Control?"

AI Response:

CC6.1 requires logical access controls to protect information assets. Based on your infrastructure, I recommend:

1. Authentication: Implement SSO with MFA
2. Authorization: Use RBAC with least privilege
3. Monitoring: Enable access logging
4. Review: Set up quarterly access reviews

Would you like me to generate specific IAM policies?

Gap Analysis

AI identifies compliance gaps:

┌─────────────────────────────────────────────────────────────┐
│ ISO 27001 Gap Analysis                                      │
├─────────────────────────────────────────────────────────────┤
│ Current Coverage: 72%                                       │
│                                                             │
│ Critical Gaps Identified:                                   │
│                                                             │
│ 1. A.12.3.1 - Information Backup                           │
│    Status: Not Implemented                                  │
│    AI Recommendation: Enable automated backups for your     │
│    database and object storage with versioning.             │
│                                                             │
│ 2. A.16.1.2 - Reporting Security Events                    │
│    Status: Partially Implemented                            │
│    AI Recommendation: Configure monitoring alerts to        │
│    integrate with your incident response workflow.          │
└─────────────────────────────────────────────────────────────┘

Evidence Generation

AI assists with evidence collection:

Automatic Evidence Suggestions

Based on control requirements, AI suggests:

• Screenshots to capture
• Logs to export
• Configurations to document
• Policies to reference

Evidence Description Generation

AI writes evidence descriptions:

Control: CC6.7 - Encryption at Rest
Evidence Type: Configuration Screenshot
AI-Generated Description:

"This screenshot from the database console demonstrates that
encryption at rest is enabled for the production database.
The encryption uses a customer-managed encryption key.
This configuration satisfies the SOC 2 CC6.7 requirement
for protecting stored information using encryption."

Risk Assessment

AI Risk Scoring

AI provides risk assessments considering:

• Threat likelihood
• Business impact
• Control effectiveness
• Historical data
• Industry benchmarks

Risk Narrative Generation

AI generates risk narratives for reports:

The assessment identified 5 high-severity vulnerabilities
in the production environment, representing a significant
increase from the previous quarter. The primary risk driver
is the delayed patching of critical infrastructure components.
Without remediation, the organization faces potential
regulatory penalties (estimated $2M based on similar GDPR
cases) and reputational damage. Recommended actions include
implementing automated patch management and increasing
security team capacity.

Natural Language Queries

Ask questions in plain English:

• "What are our biggest security risks right now?"
• "Which controls are failing for PCI-DSS?"
• "Show me all critical vulnerabilities discovered this week"
• "What evidence do I need for the upcoming SOC 2 audit?"

AI Settings

Configuration Options

Setting	Description	Default
Primary Provider	Main AI service	Anthropic
Fallback Provider	Backup AI service	OpenAI
Auto-Triage	Automatic vulnerability prioritization	Enabled
Evidence Assist	AI evidence suggestions	Enabled
Risk Narratives	AI-generated risk text	Enabled

Privacy & Security

• AI queries are encrypted in transit
• Sensitive data is redacted before processing
• No customer data is used for training
• All AI interactions are logged for audit

API Access

Use AI features programmatically:

# AI vulnerability analysis
POST /api/v1/ai/analyze-vulnerability
{
  "vulnerability_id": "vuln_123",
  "context": "production_environment"
}

# AI compliance guidance
POST /api/v1/ai/compliance-assist
{
  "control_id": "SOC2_CC6.1",
  "question": "How do I implement this?"
}

# AI risk assessment
POST /api/v1/ai/risk-assess
{
  "asset_id": "asset_456"
}