Why Traditional Security Testing Misses 70% of AI Attack Surface

📰 Dev.to · Hernan Huwyler

Traditional security testing misses 70% of AI attack surface, learn why and how to improve AI-specific security testing

intermediate Published 30 Apr 2026

Action Steps

Assess your current security testing methods to identify gaps in AI-specific coverage
Implement AI-specific threat modeling to identify potential attack vectors
Conduct vulnerability assessments tailored to AI systems
Integrate AI-specific security testing into your DevOps pipeline
Monitor and update your security testing methods to stay ahead of emerging AI threats

Who Needs to Know This

Security teams and developers working with AI systems need to understand the limitations of traditional security testing and adapt their approaches to address AI-specific vulnerabilities

Key Insight

💡 Traditional security testing is insufficient for AI systems, requiring specialized approaches to address unique vulnerabilities