Advai Versus: Technical AI Testing and Evaluation
AI Assurance, Testing & Evaluation
Advai Versus
Overview
Advai Versus is a versatile Workbench of developer tools designed to rigorously stress and evaluate your AI systems. It seamlessly integrates into your MLOps architecture, enabling your organisation to interrogate data and AI models efficiently. Whether it's testing for biases, security, or other critical aspects, Advai Versus ensures your AI models are robust and fit for purpose.
Step two.
Key Features
- //Automated Integration:
Streamlines services into MLOps architecture for enhanced functionality. - //AI Model Assurance:
Our team will rigorously evaluate AI models ensuring they meet your standards. - //Comprehensive Testing:
Offers a range of services to test various aspects, including bias and security, aligned with topological considerations. - //Red Teaming:
Assures and challenges AI models to fortify them against potential vulnerabilities.
Intentionally break your AI
Advai breaks AI on purpose, so it doesn’t happen by accident.
Cognitive probing tests
Techniques that determine what/how the AI perceives and ‘thinks’.
Multi-modal testing
Computer vision, facial recognition, language, complex systems; more.
Boundaries for operation
We define AI model robustness parameters for appropriate field use.
Detect AI model attacks
Recognize when your systems are being duped, influenced or poisoned.
End-to-end metrics
Our tooling can sit at each stage of data pipelines.
Missing data and reliability
We test data quality and identify gaps in your system’s training data.
Valid for any AI model
We can work with any vendor to improve any system’s models.
The Library shows all your connected AI models
You can connect all your AI models so their health and performance, and the state of their risk and compliance markers, can all be viewed in one place.
The library shows broad information. The user can click into any specific use-case to see more granular information.
Information fit for your function.
The dashboard is designed to bridge comprehension gaps and provide the right information to the right people.
At the top right of the image, you can see that a user can filter LLM testing information suited to their function. This selection changes the metrics shown.
Track aspects related to your compliance.
View reports and track your compliance vitals, such as privacy and bias scores.
Metrics are customised to your industry.
For example, to the right, the Data Privacy and Protection score is 50%, indicating significant room for improvement in how personal data is protected.
Track your cyber security.
Displays various cybersecurity vulnerabilities and the corresponding assessment scores, indicating the level of risk or the degree to which each area is secured.
For example, to the right, the Insecure Output Handling score shows 70%, indicating a moderate level of security concerning how the system outputs data, referring data being intercepted or misused.
You can trust robust AI.
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