Dark Reading survey: Security teams most focused on AI attack and defense in the SOC
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Dark Reading's latest reader survey shows that 50% of surveyed security teams listed "AI-driven attacks vs. AI defenses in the SOC" as the top topic of interest at Black Hat USA 2026, and 22% chose "Scaling SecOps with automation, validation, and trusted AI." Experts note that LLMs, especially frontier models, are significantly shortening the window from public disclosure of a vulnerability to its exploitation; attackers can analyze patches and develop exploits within hours, and AI-automated attacks can also continuously probe the attack surface. An Omdia report shows that 32% of organizations believe AI-automation-related situations deserve attention.
Generated by AI from reports · Updated 4 days ago
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- Dark ReadingAI-driven attacks are changing security strategies: A Dark Reading reader survey shows 50% of security teams are most focused on AI attack and defense in the SOC
Dark Reading's latest reader survey shows that 50% of surveyed security teams listed "AI-driven attacks vs. AI defenses in the SOC" as the top topic of interest at Black Hat USA 2026, and 22% chose "Scaling SecOps with automation, validation, and trusted AI." Experts note that LLMs, especially frontier models, are significantly shortening the window from public disclosure of a vulnerability to its exploitation; attackers can analyze patches and develop exploits within hours, and AI-automated attacks can also continuously probe the attack surface. An Omdia report shows that 32% of organizations believe AI-automated attacks have the greatest impact on offensive security strategies such as penetration testing and red teaming.
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