IBM 2026 Breach Report Finds AI Attacks Rising and Access Controls Lacking

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Summary

IBM's 2026 breach-cost study, based on 602 organizations, reports a $4.99 million average breach cost. AI-driven attacks rose 56%, while 92% of AI-related breaches involved no proper AI access controls.

Key points

  • The Ponemon Institute study covered 602 organizations across 17 industries and interviewed 3,558 security and C-suite leaders about breaches from March 2025 through February 2026.
  • The global average breach cost reached $4.99 million, up 12% from the prior year.
  • AI-driven attacks increased 56%; more than one in four organizations experiencing a malicious attack attributed it to AI.
  • The report says 92% of AI-related breaches involved no proper AI access controls; 40% of organizations reported using access controls on AI models and data.
  • Shadow AI incidents more than doubled to 43%; nearly half reportedly led to data loss or compromise.
  • Organizations extensively using AI and automation across the security lifecycle had breach timelines 65 days shorter and average costs $1.93 million lower than organizations that did not.

Article Details

Publisher
Varonis Research
Report Period
March 2025–February 2026
Scope
Breach economics and AI-related security incidents across organizations in 17 industries.
Sample Size
602 organizations; interviews with 3,558 security and C-suite leaders with firsthand knowledge of an organizational breach.
Key Statistics
  • The global average data-breach cost was $4.99 million, up 12% from the previous year.
  • AI-driven attacks increased by 56%; more than one in four organizations that experienced a malicious attack said it resulted from AI.
  • 92% of AI-related breaches involved no proper AI access controls; 40% of organizations reported using access controls on AI models and data.
  • Shadow AI incidents rose to 43% from 20% the previous year; their average cost was $5.39 million, compared with $4.63 million the previous year.
  • Organizations using AI and automation extensively across the security lifecycle shortened breach timelines by 65 days and reduced average costs by $1.93 million compared with those that did not; 36% of breached organizations used them across prevention, detection, investigation, and response.
Recommendations
  • Apply least-privilege access controls to AI models, agents, and applications, based on the sensitive data they can reach.
  • Improve visibility into approved and shadow AI and monitor data access and leaks, with the ability to act in real time.
  • Apply AI and automation across prevention, detection, investigation, and response rather than concentrating use in only some stages.
  • Strengthen AI governance with strict deployment approval processes and coordination between governance and security teams.
  • For on-premises environments, maintain patching, physical security, and access management.

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