Evaluate and Secure
AI Services
Is your organization leveraging AI solutions from external vendors? Or maybe building your own internal tools?
Our specialized AI Penetration Testing service evaluates the security, performance, and compliance of all AI systems—protecting your business from hidden vulnerabilities and ensuring you get the value you expect.
Beyond Traditional Security Testing
As organizations increasingly adopt AI solutions from external providers and try to build internal custom tools, new risks emerge that traditional security assessments miss. Whether you’re using on-premises AI deployments or subscribing to AI-powered services, these systems require specialized evaluation to ensure they meet security, performance, and compliance standards.
AI Ritual’s penetration testing goes beyond conventional security assessments to evaluate the unique risks and vulnerabilities specific to artificial intelligence systems.
On-Premises AI Deployments
We thoroughly assess AI systems deployed within your environment, including:
•Machine learning models
•Natural language processing systems
•Computer vision applications
•Predictive analytics platforms
•Decision support systems
•Robotic process automation
AI-Powered Subscription Services
We evaluate cloud-based AI services your organization relies on, such as:
•AI-driven cybersecurity solutions
•Intelligent email filtering and security
•Automated customer service platforms
•AI-powered analytics services
•Document processing and analysis tools
•Intelligent monitoring systems
Our Testing Methodology
Key Areas We Evaluate
Security Vulnerabilities
We identify AI-specific security risks that traditional testing might miss:
•Data Poisoning Susceptibility: Assessing whether the AI system can be manipulated through malicious training data
•Adversarial Example Vulnerability: Testing resistance to inputs designed to cause misclassification or errors
•Model Extraction Risk: Evaluating how well the system protects proprietary algorithms from theft
•Privacy Leakage: Determining if sensitive information can be extracted through model outputs
•Integration Weaknesses: Identifying security gaps in how the AI system connects with your infrastructure
Compliance and Governance
We ensure AI systems meet regulatory and policy requirements:
•Regulatory Alignment: Verifying compliance with relevant laws and regulations
•Documentation Review: Assessing whether vendor documentation meets compliance needs
•Explainability Evaluation: Testing the system’s ability to explain its decisions
•Audit Trail Verification: Confirming adequate logging and traceability
•Data Handling Practices: Reviewing how the system manages sensitive information
Performance Verification
We validate that third-party AI delivers on its promises:
•Accuracy Assessment: Testing real-world accuracy against vendor claims
•Bias Detection: Identifying potential biases in AI outputs that could impact fairness
•Robustness Testing: Evaluating performance under unusual or stressful conditions
•Drift Analysis: Assessing how performance changes over time or with different inputs
•Resource Utilization: Measuring computational efficiency and resource requirements
Ready to Build an AI-Aware Organization?
Empower your team with the knowledge and skills they need to thrive in an AI-enhanced workplace. Contact us today to discuss a customized training program for your organization.
AI Ritual
more than just an AI company—we’re your strategic partner in navigating the complex world of artificial intelligence.
(440) 841-3646