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Qualysec did a great job identifying vulnerabilities in our web and cloud applications and gave us clear steps to fix them. They stuck to deadlines, handled re-tests, and supported well.
Kenny Kim
Product Manager
AI/ML Penetration Testing Services
At Qualysec, we offer AI/ML testing services to protect your machine learning models and artificial intelligence systems from adversarial attacks, vulnerabilities, and unforeseen threats. Our cutting-edge testing solutions ensure your AI/ML applications are completely secure.
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DEFINITION
What Is AI/ML Testing?
AI/ML testing involves a thorough examination of AI and Machine Learning models to identify vulnerabilities that attackers could exploit. As businesses increasingly rely on AI/ML technologies, ensuring these models needs to remain secure. AI/ML penetration testing focuses on understanding how an AI system functions, pinpointing vulnerabilities, and offering security measures to protect these models.
Vulnerabilities
Types Of Security Testing in AI/ML
Here are the key types of security testing we perform on AI/ML
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Prompt Injection
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Supply Chain Attack
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Data Poisoning
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Model Skewing
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Model Theft
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Overreliance Testing
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Unrestricted Model Endpoints testing
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Poor Logging and Monitoring
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Insecure Output Handling
Process
Our AI/ML Penetration Testing Process
At Qualysec, we protect your code with a thorough and structured testing process.
Define Scope
Information Gathering
Enumeration
Attack and Penetration
Reporting
Remediation Testing
Define Scope
We collaborate closely with you to outline the test boundaries to identify critical assets and potential risk areas. This tailored approach ensures a focused and effective assessment.
Swagat Kumar Dash
Business Development Manager
“Connect with Swagat, Your trusted penetration testing advisor. Secure your assets. Reach out Today!”
Testimonials
What Our Clients Say About Us
Read what our clients say about our services. See how Qualysec has helped several businesses to keep their digital assets safe!
Key Benefits
How Qualysec Strengthens Your Security with AI/ML Testing
At Qualysec, we provide a meticulous approach to securing AI and ML models
Adversarial Simulation
We simulate real-world attack scenarios to test your AI models against adversarial inputs.
Comprehensive Vulnerability Scanning
Our hybrid approach combines automated tools and manual techniques to identify security gaps in your AI systems.
Remediation Support
We offer in-depth remediation strategies and work alongside your team to address vulnerabilities.
Real-Time Reporting
Throughout the testing process, you will receive daily updates and detailed reports on the security of your AI systems.
Zero False Positives
Our testing ensures that every vulnerability we find is real and actionable.
Customized Testing for Industry-Specific AI Models
We customize our testing methodologies to meet the unique requirements of your industry
Free Downloads
Download Free AI/ML Testing Resources
Explore our extensive resource library to boost your AI/ML systems’ security and stay one step ahead of emerging threats.
AI/ML Testing Report
A comprehensive document outlining vulnerabilities, risks, and mitigation strategies, featuring an executive summary and in-depth technical findings.
AI/ML Testing Methodology
A detailed guide to our testing framework, covering each phase of AI/ML penetration testing, from analysis to vulnerability exploitation.
AI/ML Penetration Testing Service Overview
An in-depth look at our approach, tools, and testing methods, showcasing how we simulate real-world attacks to identify and fix security weaknesses.
Process To Start Assessment
Our Proven Process for AI/ML Penetration Testing
Some specific steps that Qualysec follow with clients before onboarding their business app for AI/ML Testing.
1
Contact us↗
Reach out to us and our friendly team will listen to your concerns and understand your unique security needs. Whether you prefer a call, email, or chat, we're ready to start your journey towards a more secure web app.
2
Pre-Assessment Form↗
We send you a simple pre-assessment form to fill up with the appropriate information. This helps us understand your app's architecture, current security measures, and specific concerns.
3
Proposal Meeting↗
After we review our findings from the pre-assessment and outline our proposed approach, we discuss security strategy and answer any questions you may have through either online or face-to-face meetings.
4
NDA and Agreement Signing↗
We get a clear Non-Disclosure Agreement signed by you to protect your sensitive information. We finalize our service agreement after you are completely satisfied. This helps us both know exactly what to expect from our partnership.
5
Pre-requisite Collection↗
We provide our clients with a checklist of everything we need to begin testing, such as access credentials and documentation. Our team assists and ensures a smooth start to your app's security enhancement journey.
Get a Quote
Ready to Secure Your AI/ML Models?
Reach out today to discuss your AI/ML testing needs and get a customized quote. Our cybersecurity experts will ensure that your AI systems are protected from vulnerabilities, giving you peace of mind and complete security.
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FAQ
Frequently Asked Questions
Get quick answers to common questions about API security testing, its benefits, frequency, costs, and more.
AI/ML penetration testing helps protect your systems from adversarial attacks and other vulnerabilities, ensuring data integrity and security.
Common vulnerabilities include adversarial inputs, data poisoning, and model inversion attacks.
We use a combination of automated tools, manual techniques, and adversarial attack simulations to identify vulnerabilities and provide remediation support.
The testing duration depends on the complexity and size of the AI/ML system. Our team will provide an estimated timeline after the initial consultation.
We can test a wide range of AI/ML systems, including machine learning models, neural networks, natural language processing systems, and predictive analytics tools.
It's recommended to perform AI/ML penetration testing regularly, especially after significant updates, model changes, or new deployments.
Yes, AI/ML testing helps ensure compliance with regulatory standards such as GDPR, HIPAA, and SOC2 by identifying and mitigating potential security risks.
Adversarial attacks involve manipulating input data to deceive AI models, causing incorrect predictions or classifications, which can compromise security and performance.