AI Security: Confidence vs. Control
State of AI Risk Management 2026 Infographic
AI is rapidly reshaping how software is built, tested, and deployed. But as AI adoption accelerates, security teams are facing new challenges in visibility, governance, and risk prioritization.
This infographic highlights key findings from the State of AI Risk Management 2026 report, revealing how organizations are navigating the evolving AI security landscape.
Download the infographic to explore the data and insights.
Key insights from the research:
- 66% report extensive AI use in software development
- 78% have deployed or are piloting agentic AI systems
- 70% report AI-generated vulnerabilities in production
- 81% say fragmented security tools make risk prioritization harder
These findings highlight how AI-driven development is introducing new operational and security challenges for modern enterprises.
Why security teams need to focus on AI risk
As AI becomes embedded across development environments and enterprise tools, security leaders must adapt to:
- Expanding shadow AI usage
- Increasing AI-generated code vulnerabilities
- Rising security tool fragmentation
- Growing pressure to prioritize the vulnerabilities that matter most
Understanding these shifts is essential for organizations looking to manage risk in an AI-driven development world.
Why security teams need to focus on AI risk
Get the full AI Security Insights infographic and explore the data shaping the future of AI security.
- Expanding shadow AI usage
- Increasing AI-generated code vulnerabilities
- Rising security tool fragmentation
- Growing pressure to prioritize the vulnerabilities that matter most
These findings highlight how AI-driven development is introducing new operational and security challenges for modern enterprises.
Download the infographic
Get the full AI Security Insights infographic and explore the data shaping the future of AI security.
