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Less than one in ten of cybersecurity pros trust AI testing tools to find vulnerabilities, with over three-quarters say their AI vulnerability scanning tools missed critical flaws

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  • Cobalt’s 2026 State of Pentesting Report shows confidence in fully automated AI testing collapsed from 29% in 2025 to 9% this year
  • 78% of respondents saw automated tools miss critical vulnerabilities; LLM flaws proved complex, with MTTR rising from 19 to 36 days and most issues left unresolved
  • Hybrid models surged to 47% adoption, as experts stress automation should complement, not replace, elite human expertise in uncovering business logic risks

As the world praises Mythos, and the Chinese rush to create their own variant, a report painting an entirely different picture comes from Cobalt.

The cybersecurity company just published the Cobalt State of Pentesting Report 2026, based on two comparative surveys, one in 2025 and one in 2026. Polling around 450 cybersecurity professionals, Cobalt wanted to see how confident the cybersecurity community is in automated AI testing for vulnerabilities and it turns out - not that much.

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‘Powerful AI systems can go rogue, behave in extremely dangerous ways, or even resist human intervention’: A bill requiring AI systems to have a ‘kill switch’ is now in Congress

* A bipartisan bill introduced to Congress calls for AI models to have a kill switch * The bill follows months of warnings about the dangers of rapidly advancing AI technology from major AI firms * An 'unprecedented cyber incident' between OpenAI and Hugging Face prompted the introduction of the bill