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AI-Enabled Cyberattacks Surge by 89% in 2025

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The number of AI-enabled cyberattacks has nearly doubled in the past year, according to CrowdStrike's Global Threat Report 2026. Threat actors are leveraging machine learning and Large Language Models (LLMs) to optimize attack techniques, including social engineering, malware development, and disinformation campaigns. CrowdStrike reported an 89% increase in attacks by AI-enabled adversaries in 2025 compared to the previous year. These attacks primarily focus on enhancing existing methods rather than creating novel vectors. Examples include Chinese intelligence services using AI to create fake consulting firms for intelligence gathering and Russian cybercriminals using AI to improve phishing email credibility. Additionally, Russian state-backed hacking group Fancy Bear has experimented with embedding LLMs into malware for reconnaissance and document collection.

Timeline

  1. 24.02.2026 12:00 1 articles · 4h ago

    AI-Enabled Cyberattacks Surge by 89% in 2025

    CrowdStrike's Global Threat Report 2026 reveals an 89% increase in AI-enabled cyberattacks in 2025. Threat actors are leveraging AI to optimize attack techniques, including social engineering, malware development, and disinformation campaigns. Specific examples include Chinese intelligence services using AI to create fake consulting firms and Russian cybercriminals enhancing phishing email credibility. Additionally, the Russian state-backed hacking group Fancy Bear has experimented with embedding LLMs into malware for reconnaissance and document collection.

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