The Gap in Traditional Pen Testing
Enterprise customers are deploying Generative AI, LLMs, RAG systems, copilots, and autonomous agents at scale. Yet most penetration testing methodologies were designed for code, networks, and APIs—not AI behavior.
AI introduces attack surfaces that traditional pentests do not cover:
- Prompt injection and jailbreak attacks
- AIdriven data leakage and training data exposure
- Agent tool misuse and multistep reasoning abuse
- RAG manipulation and malicious document ingestion
- AIspecific denialofservice and cost amplification
Customers increasingly expect pen testers to assess these risks—but building AInative tooling and expertise inhouse is expensive and slow.
WhiteHaX AI-ASM fills this gap.
What WhiteHaX AI-ASM Enables Pen Testers to Offer
1. SecureAI Testing – AINative Penetration Testing Go beyond application pentests with AIspecific attack simulation Capabilities You Can Deliver
- Advanced prompt injection and jailbreak testing
- Confidential data leakage and PII exposure attempts
- AgenticAI and RAG abuse simulations
- Malicious document upload testing (PDFs, Office, images, QR codes)
- LLM and MCP service misuse and breach attempts
- Validation of AI defenses (WAFs, rate limits, anomaly detection)
Value to Your Clients
- Realistic AI attack scenarios, not theoretical risks
- Clear evidence of exploitability and business impact
- Actionable remediation aligned to AI architectures
2. OptimalAI Testing – Performance & AbuseDriven DoS Testing Add performance and costimpact validation to your engagements Capabilities You Can Deliver
- AI responsetime and taillatency measurement
- Load and stress testing under adversarial conditions
- AIspecific DoS and resourceexhaustion testing
- Costamplification and tokenabuse analysis
Value to Your Clients
- Exposure of AI failure modes that cause outages and cost spikes
- Proof of resilience (or lack thereof) under real attack conditions
- Security findings tied directly to availability and cost risk
Why SecureAI + OptimalAI Strengthen Pentest Engagements
| Traditional Pentest With WhiteHaX AI-ASM | ||
|---|---|---|
| Code & API exploits | AI behavior & model abuse | |
| Onetime snapshot | Continuous & repeatable testing | |
| Generic findings | AIspecific, actionable evidence | |
| Security only | Security + performance + cost impact | |
| This allows pen testers to deliver modern AI attack assessments without reinventing their practice. | ||
How Pen Testers Can Package These Services
Example Engagements
- AI Security AddOn to Application Pentests
- Standalone AI Penetration Testing Engagement
- PreProduction AI GoLive Assessment
- Annual AI RedTeam Exercise
- AI Compliance & Risk Readiness Testing
Delivery Model
- Whitelabel or cobranded
- WhiteHaX AI-ASM platform + attack library
- Pen tester owns methodology, reporting, and client advisory
Why WhiteHaX AI-ASM for Pen Testers
- Built specifically for AI attack techniques, not retrofitted tools
- Massive AIspecific attack libraries and automation
- Supports manual and automated redteam workflows
- Works across proprietary and 3rdparty AI systems
- Lets your firm stay relevant as pentesting evolves
Bottom Line
AI has fundamentally changed the attack surface—and clients expect pen testers to keep up.
WhiteHaX AI-ASM enables penetration testing firms to deliver credible, scalable, AInative security assessments—without rebuilding their practice from scratch.
Test categories include:
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Partner with IronSDN
- Web: www.WhiteHaX.com
- Email: partners@ironsdn.com