Our Methodology

    Why Your AI's 95% Accuracy Score is Meaningless

    Most AI models score 85-95% on standard benchmarks like MMLU, yet fail in real-world applications. In this comprehensive masterclass, Airside Labs' founder, Alex Brooker, reveals the hidden problems with current AI testing methods and shows you how to build evaluation frameworks that actually predict 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

    1

    Free Consultation

    "Understand your AI security landscape" We review your AI chatbot implementation and identify your highest-risk compliance gaps. Get a clear picture of potential GDPR violations and EU AI Act requirements specific to your use case. No obligation, just expert guidance on where to focus first.

    Book Now
    2

    Targeted Scan

    "Quick validation of critical vulnerabilities" Focused red team assessment targeting your most pressing compliance risks. We test against specific OWASP, NIST or MITRE ATLAS controls to identify immediate threats. Perfect for proving the need for comprehensive security before making larger investments.

    3

    Full Assessment

    "Comprehensive compliance documentation" Complete security evaluation across all relevant frameworks. Detailed technical findings, risk analysis, and audit-ready documentation that satisfies regulators. Executive summary for leadership plus technical remediation roadmap for your development teams.

    4

    Ongoing Monitoring and Dynamic Response

    "Continuous protection as your AI evolves" Automated vulnerability detection triggered by new releases or monthly schedules. Stay ahead of emerging threats and regulatory changes. Seamlessly integrates with your CI/CD pipeline to catch security 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