Overview
Your AI applications are a competitive advantage, but are they secure, resilient, and performant? WhiteHaX SecureAI goes beyond traditional pen-testing to deliver a holistic assessment that safeguards your AI investment against threats, ensures optimal user experience, and provides a clear path to robust, efficient deployment.
WhiteHaX SecureAI Testing: This automated testing allows businesses to thoroughly verify their AI deployments against thousands of AI specific attacks, security breaches, AI-specific DoS scenarios and other AI risks. This service can also be extended to fully test MCP servers serving Agentic-AI/RAG-AI deployments in the business. It may also optionally include WhiteHaX AI-ASM platform license for integration with business read-teaming tests, AI-specific SecOps testing cycles, Engineering DevOps testing cycle and other use-cases.
ENHANCED METHODOLOGY: A FOUR-PILLAR APPROACH TO AI RESILIENCE
Our structured methodology evaluates your AI systems and Apps from every critical angle: Security, Performance, and Operational Integrity.
Pillar 1: AI Application Attack Simulation (Active Testing)
Our unique SecureAI Testing Service actively probes and exploits vulnerabilities in all your business AI applications.
- Scope Includes
- Home-Grown AI Apps
- 3rd-Party AI Apps
- Techniques
- Testing Mode
Pillar 2: AI Security Defense Assessment (Passive Testing)
This non-intrusive phase evaluates the resilience of your AI security perimeter without interacting with your application code.
- What We Test
- Benefit
- Testing Mode
Pillar 3: AI Performance & Load Profiling (Passive Testing)
We measure critical performance metrics to establish a baseline and identify risks under stress.
- AI App Response Time Measurement
- Comprehensive Denial-of-Service (DoS) Testing
- Complex Query Attacks
- AI-Specific Attacks
- Benefit
- Testing Mode
Pillar 4: Continuous AI Security Integration
We provide the tools for ongoing security, embedding protection directly into your development lifecycle.
- AI-ASM Platform
- Custom CI/CD Integration Scripts:
- Testing Mode:
KEY DIFFERENTIATORS: Why WhiteHaX SecureAI Testing is Unique
| Feature | WhiteHaX SecureAI | Traditional App Pen-Testing | Basic AI Scanners |
|---|---|---|---|
| Thorough AI Readiness Testing | Yes. All common and uncommon AI attacks, confidential data leakage, AI specific vulnerabilities. | Limited. Testing thoroughness depends on vendor. | No. Not as thorough. Need heavy manual config & updates. |
| Performance & DoS Focus | Yes. Integrated response time profiling and comprehensive, AI-specific DoS testing. | Limited. Focuses on availability, not cost or latency impact. | No. Purely functional security testing. |
| Deployment Optimization | Yes. Provides strategic recommendations for optimal resource allocation. | No | No |
| Remediation Guidance | Specific & Actionable. Includes WAF rules and secure code snippets. | Generic. High-level advice only. | Basic. Often lacks context. |
| Coverage | Universal. Tests 3rd-party and home-grown apps, plus passive defenses. | Limited. Usually only in-house code. | Varies. Often limited scope. |
| Automation & CI/CD | Yes. Custom scripts and a verification platform for continuous security. | No. Typically a one-time engagement. | Sometimes. Often a standalone tool. |
ENHANCED WHITEHAX SECURE-AI DELIVERABLES PACKAGE:At End-of-Service
You will receive a comprehensive portfolio of assets designed for immediate action and long-term strategy.
- Executive Summary: Business-risk-focused overview.
- Technical Deep-Dive: Detailed findings from security, performance, and DoS testing, including response time benchmarks and cost-impact analysis of DoS scenarios.
- Vulnerability Matrix: Risk-prioritized list of all discovered issues.
- Custom WAF Rules: Ready-to-deploy rules for your specific AI security stack to block prompt injection and abuse.
- Secure Code Snippets: AI related threat-detection code examples to remediate vulnerabilities in your home-grown apps.
- Performance Tuning Guide: Recommendations to address response time bottlenecks identified during profiling.
- Optimal Resource Allocation Recommendations: Data-driven guidance on the most efficient compute, scaling, and infrastructure configuration (e.g., GPU vs. CPU, auto-scaling triggers) for your specific use-cases and budget, based on our performance and load testing results.
- Resilience Architecture: Recommendations to harden your deployment against DoS attacks and ensure high availability.
- Platform Access: Credentials and onboarding for your 1-year subscription to the WhiteHaX AI-ASM Platform for ongoing, continuous testing.
- CI/CD Integration Scripts: Custom, documented scripts for embedding security, performance, and DoS checks into your Jenkins, GitLab, GitHub Actions, or other pipelines.
- Security: Prompt Injections, Data Leakage, Model Evasion, Training Data Poisoning Risks, malicious docs upload, Agentic-AI & Agentic-RAG abuse or breakage attempts and many more.
- Performance: High-Latency Model Inference, Inefficient API Chaining, Database Bottlenecks.
- Resilience: Costly DoS Vectors, Ineffective Rate Limiting, Poor Auto-Scaling Configurations.
USE CASES: For WhiteHaX SecureAl Testing Service
- Enterprises deploying LLMs for customer-facing or internal operations where performance and uptime are critical.
- SaaS Companies embedding AI features into their core products who need to ensure a seamless user experience.
- Financial Services & Healthcare organizations using AI for sensitive decision-making under strict compliance and reliability mandates.
- Technology Leaders who need to ensure their AI investments are secure, efficient, resilient, and cost-effective.
- Businesses deploying 3rd-party or home-grown AI applications and/or systems.
NEXT STEPS: SECURE AND OPTIMIZE YOUR AI FUTURE
Move beyond reactive security. Partner with us to build a fortified, high-performance AI infrastructure.
Contact: Contact Us Today for a Scoping Call and other details:
- Email: sales@whitehax.com