The MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) framework provides the industry's most comprehensive taxonomy of real-world attacks against AI systems. But knowing the threats isn't enough — you need to test your defenses.
How Airside Labs Mitigates Risks in AI Systems
Airside Labs addresses the critical attack vectors identified in MITRE ATLAS across all industries, focusing on real-world adversarial scenarios that could compromise AI system integrity, availability, and confidentiality. Our platform combines comprehensive adversarial testing with ongoing vulnerability assessment, providing specialized coverage for ATLAS's tactics, techniques, and procedures (TTPs). From model extraction attempts in proprietary AI systems to poisoning attacks in training pipelines, we've built evaluation frameworks designed to validate AI security against actual attack methods used by threat actors.
Where other security platforms adapt traditional cybersecurity approaches, Airside Labs goes deeper—testing AI-specific attack vectors documented in ATLAS and providing the evidence needed to secure AI systems against sophisticated adversaries. This isn't about theoretical vulnerabilities. It's about giving organizations the confidence, validation, and defensive capabilities they need to deploy AI systems that can withstand real-world attacks.
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