Adopt AI with confidence
Performance tests that reduce the risk of deploying artificial intelligence.
Advai Insight™ is a workbench of world-leading tooling for testing, evaluation, and monitoring Artificial Intelligence systems.
AI models are rapidly penetrating all industries. Failure to adopt AI will leave you behind, but trusting the wrong system may be disastrous reputationally, legally and operationally.
Algorithmic vulnerabilities cause errors. They can break, be misused and they can be exploited.
Reduce your risk of AI by:
- Precisely identifying vulnerabilities.
- Developing technical metrics to monitor models.
Know its vulnerabilities.
Testing when AI fails teases out areas of weakness – such as bias or vulnerability to attack. This knowledge implies how to make it stronger.
Identify boundaries for use
Discover the conditions that cause a system not to work properly, then keep your use of it within those boundaries.
Be aware of its experience.
Bad habits are learned. Identify any problems with the data used to train the system, so you can avoid biased results.
Be lawful and moral.
Ensure compliance with both local regulations and ethical principles.
Resist attack
Implement warning systems to detect attacks on the AI system, including malicious influence over your model or theft of your information.
Testing when AI fails teases out areas of weakness – such as bias or vulnerability to attack. This knowledge implies how to make it stronger.
Discover the conditions that cause a system not to work properly, then keep your use of it within those boundaries
Bad habits are learned. Identify any problems with the data used to train the system, so you can avoid biased results.
Ensure compliance with both local regulations and ethical principles.
Implement warning systems to detect attacks on the AI system, including malicious influence over your model or theft of your information.
AI deployment should follow these key principles.
Features and Capabilities.
Configured to your environment and assurance goals, enable your personnel to establish AI assurance processes that are Fit for Duty.
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.
We automatically assure models across a range of applications.
Build the most robust AI.
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