Cybersecurity for AI Application | Pentest Testing Corp

🧩 Affordable and Reliable Cybersecurity for AI Application

Protect your machine learning models, training data, APIs, and pipelines from adversarial threats, data poisoning, model theft, and more.

🛡️ Why AI Applications Need Strong Cybersecurity

AI and Machine Learning systems are transforming industries—from healthcare to finance and beyond. But with innovation comes new threats. From model inversion and training data exposure to API abuse and adversarial inputs, AI applications present a unique and evolving attack surface. At Pentest Testing Corp, we specialize in protecting the full lifecycle of your AI applications—from data pipelines and APIs to deployed inference models.

🔍 What We Secure in Your AI Systems

🔒 Model Integrity

Prevent tampering, reverse engineering, and theft of proprietary ML models.

📥 Training Data Security

Protect datasets from poisoning, leakage, or unauthorized access.

🧠 Adversarial Input Detection

Harden models against adversarial samples that manipulate predictions.

🔗 AI API Protection

Secure endpoints exposed to clients, partners, or the public from abuse.

📊 Common Threats to AI Applications

Data Poisoning Attacks
Model Extraction & Theft
Adversarial Example Attacks
Model Inversion Attacks
API Abuse / Overuse
Lack of Authorization & Input Validation

🛠️ Our AI Cybersecurity Solutions

1. Secure AI Architecture Review:

In-depth analysis of AI pipelines, input/output boundaries, and model deployment setup.

2. AI-Focused Penetration Testing:

Simulated attacks on AI models and APIs to uncover vulnerabilities and business logic flaws.

3. Adversarial Robustness Assessment:

Test how your models react to perturbations, crafted inputs, and malicious samples.

4. AI API & Endpoint Hardening:

Authentication, rate limiting, validation, and logic testing for exposed model APIs.

✨ Sample Use Cases

Healthcare AI (HIPAA-secure ML)

✅ We test diagnostic models against adversarial manipulation and data leakage risks.

FinTech Risk Scoring Models

✅ Securing ML models behind lending or fraud detection APIs.

AI SaaS Platforms

✅ End-to-end penetration testing of AI-backed SaaS apps and inference pipelines.

🏆 Why Choose Pentest Testing Services?

Specialized team with ML + Cybersecurity expertise
Deep experience securing SaaS and AI/ML APIs
Manual & automated AI-focused pentest processes
Custom testing for PyTorch, TensorFlow, Scikit-learn & proprietary models

Recent Case Studies

From vulnerability assessments to full-scale pentests — see how we deliver measurable impact.

TR-069 Exposure in Italian Business: Real Pentest Case Study

Java Web App Penetration Testing

OpenCart Penetration Testing

What our customer says about our

AI CyberSecurity Services

Mobile Application Pentest Testing Services

💲 Discover the Ideal AI Cybersecurity Package for Your Budget

Our services are designed to fit businesses of all sizes, with flexible pricing options.

Premium Package

Starting at $40/hr

Ideal for Large Apps

Extensive security testing

Advanced threat simulation and exploitation

Ongoing support and consultancy

Regular security updates and reports

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Standard Package

Starting at $35/hr

Ideal for Medium-Sized Apps

Comprehensive vulnerability analysis

Exploitation testing to simulate real-world attacks

In-depth remediation guidance

Follow-up assessment

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Starter Package

Starting at $30/hr

Ideal for Small Apps

Basic vulnerability assessment

Detailed report with actionable recommendations

Quick turnaround time

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🔗 Secure Your AI Application Before It’s Targeted

Whether you’re building AI-driven tools or running live ML models in production, don’t wait until it’s too late. Let our experts run a tailored AI cybersecurity test today. 📞 Contact us today to learn how we can help you stay ahead of threats.

Would you like to resell or refer our services to your clients?

👉 Learn more about our Cybersecurity Agency Partnership Program
https://www.pentesttesting.com/offer-cybersecurity-service-to-your-client/

Get a free Vulnerability assessment and AI Application Pentest Testing today!

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🔐 Frequently Asked Questions (FAQs)

Find answers to commonly asked questions about our products and services.

What is AI Application Cybersecurity?

AI Application Cybersecurity focuses on identifying and mitigating security vulnerabilities specifically in AI-driven platforms, models, APIs, and machine learning pipelines. We help secure your AI systems from adversarial attacks, data poisoning, model theft, and more.

What types of AI assets do you secure?

We secure the full stack, including:
1. Machine Learning models (NLP, CV, etc.)
2. AI APIs and endpoints
3. Training datasets
4. AI/ML infrastructure (Docker, Kubernetes, cloud ML platforms)
5. LLM-based applications (e.g., Chatbots, Assistants)

How do you test the security of an AI application?

We use a combination of adversarial testing, fuzzing, logic flaw exploitation, API pentesting, and secure code analysis to identify weak points in your AI/ML stack—both in deployed models and training pipelines.

Is your service suitable for AI startups and research labs?

Absolutely. Whether you’re a funded AI startup, academic lab, or large enterprise integrating AI into your products, we tailor our services to your deployment scale and data sensitivity.

What industries need AI cybersecurity the most?

Industries working with sensitive or large-scale AI applications benefit the most, including:
1. Finance (AI fraud detection, credit scoring)
2. Healthcare (AI diagnostics, patient analytics)
3. SaaS (LLM chatbots, automation tools)
4. Government & Defense (autonomous systems, surveillance)

Why do AI applications need special cybersecurity services?

AI applications operate on complex algorithms, large datasets, and predictive logic—making them vulnerable to unique attacks like model inversion, adversarial inputs, or malicious training data manipulation. Traditional security methods don’t fully cover these risks.

What types of threats do AI applications face?

Common AI threats include:
1. Adversarial input attacks
2. Model inversion & extraction
3. Data poisoning during training
4. Prompt injection (for LLMs)
5. API abuse and access misconfiguration
6. Logic manipulation via crafted inputs

Do you offer adversarial AI testing for LLMs and chatbots?

Yes. We specialize in testing LLM-based applications like ChatGPT wrappers, internal copilots, and AI-powered chatbots for prompt injection, hallucination triggers, sensitive data leakage, and access control bypasses.

Can you help us with compliance and documentation for our AI system?

Yes. Alongside our vulnerability reports, we provide detailed remediation guidance, architecture reviews, and can assist in preparing for audits under ISO 27001, SOC 2, or EU AI Act guidelines.

How can I get a security assessment for my AI system?

Simply contact our team or request a free quote. We’ll schedule a call to understand your system, assess risks, and propose a tailored AI cybersecurity testing plan.

Enhance Your Cybersecurity Beyond Mobile Applications

While AI application security is crucial, it’s just one piece of the puzzle. To ensure comprehensive protection across your entire digital ecosystem, consider exploring broader cybersecurity solutions. Our sister site, Cybersrely, offers a range of services including network security, vulnerability assessments, and more. Visit Cybersrely to discover how you can safeguard all aspects of your digital presence.