CrowdStrike 2026 Report: AI-Driven Cyberattacks Surge 89% Globally

CrowdStrike’s 2026 Global Threat Report documents an 89% global surge in AI-enabled cyberattacks, confirming that artificial intelligence is now a primary force multiplier for both attackers and defenders in cybersecurity CrowdStrike.

CrowdStrike’s 2026 Global Threat Report, released this week, found that AI-enabled cyberattacks increased by 89% worldwide compared to 2025, with adversaries leveraging agentic AI to automate and scale complex attack vectors against enterprises across all sectors. The report highlights that AI is now central to both the escalation of cyber threats and the evolution of defensive strategies, affecting organizations in healthcare, finance, and other regulated industries CrowdStrike.

The surge in AI-driven attacks is particularly significant for regulated industries, where compliance with frameworks like the NIST AI Risk Management Framework, HIPAA, and the EU AI Act is mandatory. Attackers are using generative and agentic AI to bypass traditional security controls, craft highly convincing phishing campaigns, and automate lateral movement within networks, increasing the risk of data breaches and regulatory violations NIST, EU AI Act. This escalation underscores the urgent need for enterprises to reassess their AI governance, threat modeling, and incident response protocols to align with evolving regulatory and threat landscapes.

For CTOs, CISOs, and Compliance Officers, the next 30-90 days are critical for reviewing and updating AI-specific security controls, conducting targeted threat simulations, and ensuring that AI governance frameworks are robust enough to address the dual-use nature of AI in cyber operations. Enterprises should prioritize investments in AI-enabled defensive tools, enhance employee training on AI-driven social engineering, and coordinate with regulators to ensure compliance with emerging AI security mandates CrowdStrike.

What This Means for Enterprise AI

The documented 89% increase in AI-enabled cyberattacks means regulated enterprises must immediately review their compliance with the NIST AI RMF and sector-specific regulations such as HIPAA and the EU AI Act. AI-driven threats can automate reconnaissance, exploit vulnerabilities at scale, and generate adaptive malware, making traditional perimeter defenses insufficient NIST. CTOs and CISOs should implement continuous monitoring for AI-generated attack patterns, update incident response plans to address AI-specific threats, and ensure that all AI systems are subject to rigorous security testing and audit trails.

Compliance Officers must verify that AI governance policies explicitly address dual-use risks, including the potential for internal misuse of generative AI tools and the need for transparent reporting of AI-related incidents to regulators. Cross-functional teams should conduct tabletop exercises simulating AI-driven breaches to identify gaps in detection and response capabilities. Enterprises should also monitor regulatory updates, as both the EU AI Act and U.S. agencies are expected to issue new guidance on AI security controls in response to the evolving threat landscape EU AI Act.