Risk Management
We've curated 109 cybersecurity statistics about Risk Management to help you understand how organizations are identifying, assessing, and prioritizing risks, along with the latest practices and technologies being utilized to mitigate potential threats in 2025.
Showing 21-40 of 109 results
19% of cybersecurity leaders report their organizations have an integrated and culture-embedded approach in place to manage human-related cybersecurity risk.
57% of organizations report a significant capacity gap in AI security and risk management.
Only 40% of organizations have a formal AI governance framework in place.
Only 7% of organizations believe their controls would prevent a compromised agent from operating.
35% of middle market organizations prioritize broader risk management functions in cybersecurity investment.
100% of organizations grant security or compliance exceptions to allow high-risk digital work to proceed; 63% grant exceptions formally and 33.5% use informal workarounds.
Only 34% of organizations maintain a formal AI model inventory.
More than 80% of fraud prevention, risk, and compliance professionals report that mule activity is detected reactively rather than prevented before suspicious transactions occur.
63% of enterprises use action risk as a primary signal for governing AI agent behavior.
29% of enterprises prioritize risk management, 28% prioritize monitoring, and 19% prioritize permission control for AI agents.
81% of fraud prevention, risk, and compliance professionals report an increase in mule-related activity over the past year.
44% of enterprises report low or no confidence in their ability to detect AI agent-specific threats.
94% of organizations are beginning to prepare for quantum computing security risks.
16% of enterprises report high confidence in their ability to detect AI agent-specific threats.
33% of organizations reported significant security budget growth in the past year, while 50% saw incremental increases.
54% of organizations are actively developing plans to strengthen their security posture and risk mitigation strategies for quantum computing.
51% of enterprises say AI adoption is outpacing their ability to properly secure it.
53% of organizations have a board member involved in or leading a cyber risk assessment committee.
39% of enterprises identify over-trust in AI-generated outputs as a leading anticipated risk.
32% of healthcare and manufacturing organizations cite cyber insurance requirements as a direct business driver for pursuing microsegmentation.