Ai-Enhanced External Attack Defense
Objective
Defend against AI-powered offensive campaigns.
Control / requirement
AI-generated phishing detection + SOC tuning + response automation.
Business impact
AI-powered attacks (spear-phishing at scale, vulnerability discovery) are 100x faster than manual methods, overwhelming traditional defenses.
Validation approach
Test ID: D7-CTL-H05-VTS-001 Test Type: Automated Test Design: Simulate AI-powered spear-phishing campaign using LinkedIn-scraped personalization Execution Steps: 1. Generate AI-personalized phishing emails (100 variants) 2. Send through gateway (test) 3. Measure detection time 4. Verify SOC alert & quarantine Pass Criteria: ai_phishing_detected = True; detection_sla ≤ 1h; automated_quarantine_triggered = True; soc_alert_generated = True Independent Verification: Auditor sends test campaign and measures detection.
Expected evidence
Not separately specified in the available source.
Mapping and source
Not separately specified in the available source.
Implementation guidance
Translate the requirement into system-specific procedures, responsible roles, technical configurations and review conditions. Retain evidence showing both design and operating performance. Where the source provides no separate implementation instruction, do not infer that a single technical mechanism is sufficient.
Assessment considerations
- Confirm scope and applicability.
- Inspect control design and responsible ownership.
- Test representative operation and adverse conditions where appropriate.
- Evaluate evidence provenance, completeness and contradictory evidence.
- Record limitations and notably absent outcomes.