AI Security Penetration Testing

Conviso’s AI Security Penetration Testing is designed to assess AWS machine learning models, AI-driven applications, and cloud-hosted AI services, ensuring they are resilient against security threats and adversarial manipulation. By following industry-recognized frameworks such as MITRE ATLAS, OWASP Top 10 for AI, PTES, and NIST AI RMF, our specialists uncover model weaknesses, data poisoning risks, and potential attack vectors that could lead to compromised AI decisions, unauthorized access, or data breaches.

• Tailored Engagement: We define a testing scope customized for your AI models, and cloud-based AI services, ensuring a comprehensive evaluation of AI-specific risks.
• Black/White/Gray Box Options: Depending on your security objectives, our testing can be performed with limited, partial, or extensive insight into AI model architectures, training data, and cloud APIs.

Our AI penetration testing approach covers a wide range of attack surfaces, including:

Machine Learning Model Security Testing

We evaluate the security posture of AI models, including:

• Adversarial attacks & model evasion techniques
• Poisoning attacks
• Model extraction & inversion (reverse-engineering model behavior)
• Bias exploitation & ethical AI validation
• Hyperparameter security & configuration misconfigurations

AI Data Security & Integrity Testing

Assessing threats related to data privacy, including:

• Data poisoning & tampering with labeled datasets
• Weak encryption or exposure of sensitive data
• Lack of differential privacy mechanisms

Cloud & API Security Testing for AI Services

AI systems rely on cloud APIs for model deployment and data processing, which require security validation, including:

• Misconfigured IAM permissions & insecure cloud storage (AWS S3 Buckets)
• Authentication bypass & privilege escalation risks
• Weak API security controls (rate limiting, injection vulnerabilities, insecure endpoints)
• Adversarial API interactions (prompt injection & AI response manipulation in LLMs)

• Comprehensive Findings: All identified vulnerabilities receive severity ratings, real-world attack scenarios, and actionable remediation steps.
• Integrated AppSec Management: Findings seamlessly integrate into Conviso Platform, a SaaS solution for Application Security Posture Management (ASPM). The platform consolidates vulnerabilities, risk scoring, and remediation tracking, giving security and AI engineering teams full visibility into AI risks.
• Ongoing Collaboration: Through Conviso Platform’s dashboards and collaboration features, security and development teams can review findings, assign remediation tasks, and track progress—all in one place.
• Post-Assessment Support: Our experts remain available to clarify findings, verify applied fixes, and provide guidance on AI security best practices.

Want to strengthen the security of your AI models and cloud-based AI services? Reach out to our team by visiting <www.convisoappsec.com/contact> .