80% of enterprises lack AI security foundations Accenture reports
Accenture survey reveals 4 in 5 businesses lack cybersecurity capabilities to protect AI models and cloud infrastructure as adoption accelerates.
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Key Findings
- 78% of businesses lack foundational cybersecurity capabilities to protect AI models, data pipelines and cloud infrastructure
- Only 42% of organizations balance AI development with adequate security investment
- AI spending outpaced security budgets 1.6:1 in 2023-2024, projected to grow to 2.6:1 in 2025
Survey Details
Accenture's State of Cybersecurity 2025 report surveyed 2,300+ security and technology executives across 24 industries, revealing critical gaps in enterprise AI security preparedness.
Growing Risks
- Speed over security: Organizations prioritize rapid AI integration, often treating security as an afterthought
- Talent shortage: 80% of executives cite cybersecurity skills gaps as major obstacle
- Automation risks: AI agents and automation can "create bigger problems faster" according to Octopus Deploy's Steve Fenton
Industry Response
Some organizations are taking action:
- 43% have reassessed privacy measures to address AI threats
- Security leaders warn against "costly and inefficient retrofitting" when controls are omitted from initial AI planning
Expert Perspective
"Organizations are prioritizing speed and innovation over security," Accenture noted. This creates a dangerous pattern where security controls are frequently added too late in the development process.
For more on AI security risks, see CIO Dive's executive survey.
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About the Author

Michael Rodriguez
AI Technology Journalist
Veteran technology journalist with 12 years of focus on AI industry reporting. Former AI section editor at TechCrunch, now freelance writer contributing in-depth AI industry analysis to renowned media outlets like Wired and The Verge. Has keen insights into AI startups and emerging technology trends.