IBM's 2026 Breach Report Puts Average Cost at $4.99 Million as AI-Driven Attacks Rise

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Summary

IBM's 2026 Cost of a Data Breach Report finds average breach costs rose 12% to $4.99 million. The study of 602 organizations reports rising AI-driven attacks, widespread AI access-control gaps and lower costs among extensive security AI users.

Key points

  • Conducted by Ponemon Institute and published by IBM, the study examined 602 breached organizations across 17 industries and 16 countries and regions, covering March 2025 through February 2026.
  • The reported global average breach cost reached $4.99 million, up 12%; detection and escalation together with lost business accounted for 63% of costs.
  • AI-driven attacks increased 56% over the previous study and carried approximately $1 million higher average costs than non-AI-driven malicious breaches.
  • AI model or application incidents affected 21% of organizations studied, up from 13%; 92% of those experiencing AI-related breaches lacked proper AI access controls.
  • Organizations extensively using security AI and automation averaged $1.93 million lower breach costs and 65 days shorter identification and containment times than organizations not using them.
  • Ransomware affected 39% of breached organizations; 41% of ransomware incidents included threats to brand reputation through public shaming or media leaks.
  • The study used a nonstatistical sample and respondent cost estimates; its limitations preclude statistical inference and may introduce bias or inaccuracies.

Article Details

Publisher
IBM
Report Period
March 2025 through February 2026; follow-up research in May 2026
Scope
Data breach costs and security practices across 17 industries and 16 countries and regions. Nonstatistical benchmark research; findings do not support statistical inference.
Sample Size
602 breached organizations; 3,558 interviews. Breaches involved 2,590–115,380 compromised records. Follow-up research received 456 organizational responses.
Key Statistics
  • The reported global average breach cost was USD 4.99 million, up 12% from the prior year's study.
  • Organizations extensively using security AI and automation averaged USD 4 million in breach costs versus USD 5.93 million for nonusers; identification and containment averaged 215 versus 280 days.
  • AI-driven attacks accounted for 25% of malicious attacks studied, a reported 56% increase over the prior year, and averaged USD 6.04 million versus USD 5.03 million for non-AI-driven malicious attacks.
  • 21% of organizations reported a security incident involving an AI model or application; among those experiencing an AI-related breach, 92% lacked proper AI access controls.
  • 39% of breached organizations reported ransomware; among ransomware incidents, 41% involved threats to brand reputation through public shaming or media leaks.
Recommendations
  • Expand AI and agent use across security operations, including vulnerability management, exposure analysis, policy enforcement, detection and containment.
  • Apply continuous identity verification to humans and non-human identities, including discovery, lifecycle governance, just-in-time access and risk-based runtime controls.
  • Strengthen AI sovereignty through application and API security, trusted identity controls, monitored cloud configurations and visibility into data movement.
  • Discover and secure cryptographic assets, establish crypto-agility and begin transitioning to post-quantum encryption algorithms.

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