Our Methodology
Why Your AI's 95% Accuracy Score is Meaningless
Most AI models score 85–95% on standard benchmarks like MMLU. Yet they still fail in the real world. In this masterclass, Airside Labs founder Alex Brooker explains why current AI testing falls short. He then shows you how to build evaluation that actually predicts production performance.
Core Evaluation Components
Customised Test Datasets
Based on your use case
- • Industry-specific test cases developed with domain experts
- • Regulatory compliance scenarios based on current legislation
- • Edge case detection designed for your specific deployment context
- • Multi-modal testing across text, image, and structured data inputs
Rigorous Testing Protocols
Dynamically generated to find edge cases
- • Standardised benchmarks for comparative analysis
- • Adversarial testing to identify vulnerabilities
- • Red teaming by industry specialists
- • Longitudinal testing to measure performance drift
Comprehensive Scoring System
Multi-dimensional evaluation
- • Quantitative metrics for technical performance
- • Compliance alignment scoring for regulatory requirements
- • Risk categorisation based on industry standards
- • Human expert verification of critical outputs
How It Works
Free Consultation
"Understand your AI security landscape." We review your AI chatbot and find your highest-risk compliance gaps. You get a clear picture of where you may breach GDPR or the EU AI Act. There is no obligation — just expert guidance on where to focus first.
Book NowTargeted Scan
"Quick validation of critical vulnerabilities." A focused red-team assessment of your most pressing risks. We test against specific OWASP, NIST, or MITRE ATLAS controls to find immediate threats. It is a fast way to prove the need for a full review before you invest more.
Full Assessment
"Comprehensive compliance documentation." A complete security evaluation across every relevant framework. You get detailed findings, a risk analysis, and audit-ready documentation that satisfies regulators. We include an executive summary for leadership and a fix-it roadmap for your developers.
Ongoing Monitoring and Dynamic Response
"Continuous protection as your AI evolves." Automated checks run on every release or on a monthly schedule. This keeps you ahead of new threats and regulatory changes. It plugs into your CI/CD pipeline to catch issues before they reach production.
Take Our 2-Minute Compliance Quiz for AI Regulations
Identify potential compliance vulnerabilities in your AI systems. Take our quick quiz now.
Start Quiz