AI Application Penetration Testing
We evaluate AI-driven applications for vulnerabilities like prompt injection, data leakage, and model manipulation, ensuring your AI outputs remain safe, accurate, and reliable.
What is AI Application Penetration Testing?
AI application penetration testing is a specialized security assessment that targets AI-specific attack surfaces including prompt injection, model manipulation, training data extraction, output manipulation, and AI API abuse. These are vulnerabilities that traditional pentests do not cover.
Testing Checklist
Every engagement covers these critical security areas.
Testing Methodology
A structured, repeatable process that ensures thorough coverage and actionable results.
Scope & Model Profiling
Identify AI/ML models, APIs, and integration points. Understand input/output flows and guardrail configurations.
Prompt Injection Testing
Attempt direct and indirect prompt injections to bypass system instructions, extract training data, or manipulate outputs.
Data Leakage Assessment
Test for unintended disclosure of training data, PII, system prompts, or sensitive business logic through crafted queries.
Model Manipulation
Attempt adversarial inputs to cause hallucinations, bias exploitation, and output manipulation beyond intended boundaries.
Guardrail & Safety Testing
Test content filters, rate limits, and safety mechanisms for bypass vulnerabilities and edge cases.
Reporting & Remediation
Deliver detailed findings with risk ratings, proof-of-concept examples, and actionable remediation guidance.
Framework Alignment
Our methodology is aligned with industry-recognized security frameworks for thorough coverage and compliance readiness.
Compliance Coverage
Deliverables
What you walk away with at the end of every engagement.
Executive summary with risk overview
Detailed technical findings with PoC
AI-specific vulnerability classification
Remediation roadmap with priorities
Guardrail improvement recommendations
Free retest within 30 days
Frequently Asked Questions
What is AI application penetration testing?
AI application penetration testing is a specialized security assessment that targets AI-specific attack surfaces including prompt injection, model manipulation, training data extraction, output manipulation, and AI API abuse. These are vulnerabilities that traditional pentests do not cover.
Is AI pentest different from regular web app pentest?
Yes. AI pentesting covers attack vectors unique to AI systems: prompt injection, jailbreaking, data poisoning, model inversion, and adversarial inputs, in addition to standard application security testing.
Ready to secure your ai application?
Pentest packages from INR 74,999. Talk directly to both founders.