Penetration Tests Reveal Severe AI Security Flaws Compared to Legacy Software
Recent penetration tests have uncovered that AI-based systems exhibit a higher percentage of high-risk security flaws compared to legacy software. According to Cobalt's State of Pentesting Report, 32% of AI and large language model (LLM) vulnerabilities are rated as high risk, significantly higher than the 13% found in traditional enterprise security tests. These AI vulnerabilities also have the lowest resolution rate, with only 38% of high-risk issues being addressed. The report highlights the challenges in securing AI systems, which often introduce new attack surfaces due to their non-deterministic nature and integration with sensitive data. 
