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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 Application Security Testing
Secure your AI models, data workflows, and intelligent systems with structured testing designed to uncover real security risks.
Talk to an Expert
Fortune 100 to startup we secure them all
DEFINITION
What is AI Application Security Testing?
Identify hidden risks in AI systems early with Qualysec and secure critical components before they impact business operations.
AI Application Security Testing checks how secure your AI systems actually are when exposed to real-world conditions. It looks at how models handle inputs, how data flows through the system, and how decisions are made. This type of testing helps uncover weaknesses that traditional security methods often miss, especially in systems that learn and adapt over time.
Vulnerabilities
Critical Vulnerabilities in AI Applications
Qualysec helps you spot weak areas in your AI systems early so they do not turn into real security problems later.
01
Prompt Injection and Input Manipulation
02
Model Theft and Extraction
03
Data Leakage via Outputs
04
Data Poisoning Attacks
05
Insecure APIs and Integrations
06
Unauthorized Access to AI Systems
07
Adversarial Attacks
08
Business Logic Exploitation
09
Misconfiguration and Deployment Risks
Process
Our AI Application Security Testing Process
Qualysec follows a structured testing process to evaluate your AI systems, identify real risks, and help you secure critical components with clarity and control
Define Scope
Information Gathering
Enumeration
Attack and Penetration
Reporting
Remediation Testing
Define Scope
We define the scope based on your AI models, data flows, integrations, and real usage scenarios to ensure complete coverage of critical components.
"Don't compromise between depth and speed. Own both. Connect with Swagat, Your trusted penetration testing advisor."
Swagat Kumar Dash
Head Of Business Development
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
Key Benefits of AI Application Security Testing
Here are the key benefits you get with AI Application Security Testing when you secure your AI systems the right way.
Model Protection
Protect your AI models from misuse, replication, and unauthorized access by identifying weak areas that could expose system logic or affect how your models function.
Data Leak Prevention
Reduce the risk of sensitive information exposure by ensuring your system does not return confidential data through responses or unintended output behavior in real use cases.
API and Backend Security
Strengthen the security of APIs and backend systems that support your AI application, especially where ai applications in cyber security rely on multiple integrations and data exchanges.
Early Threat Detection
Identify risks early through AI Security Testing, so issues can be addressed before they impact system performance, decision accuracy, or business operations.
Regulatory Compliance
Support compliance efforts by securing how data is handled and processed, which is critical in applications of ai in data security, while aligning with standards such as ISO/IEC 27001, SOC 2, HIPAA, PCI DSS, and GDPR.
AI Trust Building
Improve confidence in your systems by ensuring artificial intelligence in security systems operates reliably, handles data responsibly, and behaves consistently across different scenarios.
Other Types
Types of AI Application Security Testing
Qualysec uses different testing approaches to assess your AI systems from multiple angles and uncover issues that may not be visible in a single method.
Black Box Testing
We simulate real attackers with no internal access. This helps us understand how your AI system behaves from the outside and whether it can be manipulated through inputs or exposed endpoints.
White Box Testing
Our team review the system with full access. This helps us examine code, logic, configurations, and data flow closely to identify deeper security gaps that are not visible externally.
Gray Box Testing
We test with limited system knowledge. This allows us to combine partial access with external testing to find issues that may exist between user access and internal system behavior.
Free Downloads
Download Free AI Application Penetration Testing Resources
Access practical resources from Qualysec to understand how AI security testing works and what to expect during a real assessment.
AI Security Testing Report
See how findings are presented, including identified risks, impact levels, and clear recommendations based on actual AI application testing scenarios.
AI Security Testing Methodology
Understand the approach used to assess AI systems, covering how inputs, outputs, models, and integrations are tested for security issues.
AI Security Testing Service Overview
Get a clear view of what the service includes, how testing is performed, and how your team can prepare for the engagement.
Process To Start Assessment
How to Begin Securing Your App with Qualysec
Key steps to start protecting your web application from cyber threats.
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
Want To Protect Your AI Application from Emerging Cyber Threats?
Talk to Qualysec and get a clear view of where your AI application stands today. Our team will walk you through the risks, answer your questions, and help you take the next step toward securing your system.
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FAQ
Frequently Asked Questions
Get quick answers to common questions about Web application security testing, its benefits, frequency, costs, and more.
In normal apps, we check code and known issues. Here, we check how the system behaves. With AI Application Security Testing, our team looks at inputs, outputs, and how easily the system can be influenced.
We often see inputs changing system behavior. Sometimes the system shares more data than it should. Models can also be copied over time. Training data can also cause problems later.
We check if the issues are clear and fixable. After fixes, the system should behave properly. It should not expose data or act in unexpected ways.
We fit into your current process. Our team works during development, before release, and after deployment if needed. This keeps testing consiste
We follow standards like ISO/IEC 27001, SOC 2, HIPAA, PCI DSS, and GDPR. If needed, we also consider rules like the EU AI Act.