Infosec professionals sour on automated pentesting tools
ID: fba16305-c8ac-5f16-a8ce-7b7ec6d9a911
STIX ID: report--fba16305-c8ac-5f16-a8ce-7b7ec6d9a911
Feed Name: The Register (Security)
The article reports that security professionals are increasingly skeptical of fully automated pentesting after Cobalt’s 2026 survey found high rates of critical false negatives from automated scanners, especially for AI/LLM-related flaws; it notes higher proportions of high/critical vulnerabilities in AI environments and recommends hybrid testing (AI for broad coverage, humans for critical systems).
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