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Airside Labs: AI Security and Compliance Testing

Airside Labs helps organizations validate the safety and regulatory compliance of their AI systems. It is designed for teams in regulated sectors like aviation, healthcare, and finance that need to meet specific legal standards.

At a glance

Category
Security
Best for
Enterprise companies, Software companies, Aviation organizations, Regulated industry AI developers
Pricing
A free AI chatbot safety test is available. Pricing for full assessments and ongoing monitoring was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
Key use cases
Regulatory Compliance Auditing, Aviation-Specific Safety Testing, Security Vulnerability Scanning, Bias and Fairness Auditing
Official website
airsidelabs.com
Screenshot of Airside Labs tools website

Airside Labs is a security testing service designed to identify vulnerabilities in AI chatbots and agentic infrastructure. The service focuses on evaluating whether AI systems understand their domain or produce plausible but incorrect responses.

It is primarily aimed at enterprise organizations, with a specific focus on the aviation sector. The service helps buyers identify risks such as prompt injection, sensitive data leakage, and algorithmic bias.

Buyers should note that the company is currently at capacity for full-scale deployments through Q3 2026, though they continue to offer technical advisory services and a free initial safety test.

Users can validate systems against global frameworks, including the EU AI Act and NIST, to support the creation of documentation for regulatory requirements.

Key Features

AI Chatbot Compliance Testing

Evaluates customer service and internal chatbots for accuracy, safety, and regulatory compliance.

Adversarial Testing Suite

Uses over 6,500 test cases to identify weaknesses such as prompt injection and jailbreak attempts.

Automated Bias Detection

Identifies discriminatory patterns in AI responses using proprietary detection technologies.

Pre-Flight Aviation Benchmark

An open-source evaluation suite featuring over 300 aviation-specific questions for safety-critical validation.

Framework Validation

Supports testing and documentation aligned with OWASP, NIST AI RMF, GDPR, and the EU AI Act.

Free Chatbot Safety Test

A tool for generating adversarial prompts to conduct quick security checks.

Use Cases

Regulatory Compliance Auditing

Validating that an AI chatbot meets EU AI Act and GDPR requirements to help avoid regulatory violations.

Aviation-Specific Safety Testing

Using the Pre-Flight benchmark to test AI systems against air traffic control and ground operations scenarios.

Security Vulnerability Scanning

Running adversarial probes to detect if a model is susceptible to prompt injection or sensitive information disclosure.

Bias and Fairness Auditing

Testing AI responses across protected characteristics to identify algorithmic bias.

Best For

Enterprise companiesSoftware companiesAviation organizationsRegulated industry AI developers

Pricing

A free AI chatbot safety test is available. Pricing for full assessments and ongoing monitoring was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.

FAQ

What does the free AI chatbot safety test include?

The free test allows users to generate adversarial prompts to check for prompt injection, role-playing jailbreaks, and context boundary issues.

Which compliance frameworks does Airside Labs support?

The service provides testing and reporting for GDPR, the EU AI Act, MITRE, OWASP, and the NIST AI Risk Management Framework.

Is Airside Labs suitable for non-aviation businesses?

Yes, while they have specialized aviation tools, they offer compliance and security testing for financial services, healthcare, and telecommunications.

Can I get a full-scale deployment right now?

Airside Labs is currently at capacity for full-scale deployments through Q3 2026, but they remain open for technical advisory.

Source category: Security

Source subcategory: AI Security Testing

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