June 26, 2025

Courtesy of high-profile breaches, AI-fueled advanced cyberattacks, and increasing regulatory scrutiny, cyber risk is one of those fun things that has successfully transcended into both a technical problem and a critical business issue.

As such, it is even more important to understand and align cyber risk appetite and tolerance with organizational objectives. Adopting mature, proactive, data-driven cyber risk management strategies will better protect data, assets, and users. By harnessing the potential of cyber risk management as a tool to be proactive instead of reactive, organizations can have better insight into their current state of risk.

The FAIR Institute recently issued a report (sponsored by GuidePoint Security and SAFE Security), based on its global survey of over 400 cybersecurity leaders. This blog will cover key insights from this “2025 State of Cyber Risk Management Report”, trends currently reshaping cyber risk management, and steps you can take to integrate cyber risk management into your organization to maximize impact.

What the Report Tells Us: Maturity Matters

• Maturity Yields Business-driven Outcomes: Mature cyber risk management programs deliver measurable value. Importantly, they bridge the gap between cybersecurity and enterprise strategy by quantifying risk in financial terms. By having cybersecurity at the table, speaking the same language as the business, enhanced decision making and the ability to quickly spot trends are enabled. The top outcomes respondents highlighted were:
  • Improved alignment with business priorities
  • Better risk reduction
  • Optimized cybersecurity spending
• Maturity Drives A More Proactive Security Posture: Companies with high cyber risk management maturity are significantly more proactive. These organizations don’t just react to cyber threats; they anticipate and mitigate risks before they materialize. They also collaborate closely with executives and boards to define and align risk tolerances with business goals.

  By continually performing risk assessments, organizations can prioritize projects and analyze areas of improvement. Risk assessments should be conducted at major changes and no less than annually. A third party performing a risk assessment helps feed better data into risk registers and helps avoid tunnel vision.

  Increasingly, organizations are managing third-party risks through their cyber risk management programs. This approach identifies critical dependencies and engenders trust. By joining these risk practices, organizations simplify risk analysis, reporting, and response.

• Automation and AI Fuel Efficiency: 72% of mature organizations have automated their CRM processes. 48% of organizations are using AI in cyber risk management (with an additional 34% experimenting). Organizations that have automated cyber risk management processes, coupled with AI, are benefiting from deeper insights and scalability. Those better outcomes include:
  • Greater risk reduction (41%)
  • Optimized cybersecurity spending (37%)
  • Better alignment across security, legal, and procurement (34%)
  • Reduced residual risk from high-impact third parties (26%)
  • Improved scalability in third-party risk management (28%)
• Data is Foundational: Robust, actionable data is key to effective cyber risk management. High-maturity companies successfully operationalize their data across all cyber risk management activities, yielding clearer, defensible metrics. These organizations are utilizing telemetry, compliance records, and cyber threat intelligence (CTI) extensively to assess risks, prioritize actions, and model future impacts.

  By quantifying risks in monetary terms, leaders can optimize cybersecurity budgets and align investments with business objectives. Plus, cyber risk management dashboards enable real-time decisions by providing immediate insights to enable more effective resource allocation.

But it’s not all roses and sunshine. Even among well-established cyber risk management programs, obstacles remain. 90% report that their risk appetite and tolerance levels were approved by the board; however, 33% still report a lack of executive commitment or prioritization. And 34% face resistance from peers and stakeholders. This underscores the importance of sustained leadership support to drive cyber risk management initiatives forward. Even the best laid out risk program will not be fully effective if the organization does not foster an appropriate risk culture that aligns with appetite and tolerance statements.

They are also challenged by integrating cyber risk management into broader business operations due to insufficient support from business partners (22%) and change management concerns (26%).

The slogan “security is everyone’s job” has a nice ring to it and is great in theory. But ensuring the role of cyber risk management in the organization is integral to bridging those gaps between business partners and management. Therefore, cyber risk professionals need to be sure they are doing their part to explain their function and benefit to the organization. Most stakeholders want to do the right thing, but if they don’t understand the ‘why,’ it can be hard to balance security against other business needs.

4 Steps to Maturing Your Cyber Risk Management Program

These insights can guide you in creating a future-proof cyber risk management program.

1. Align Business and Risk with Financial Visibility.  Start by quantifying cyber risks in financial terms to showcase their potential impact. 
   Example: Instead of “Data theft”, show economic implications such as “$5M in potential revenue loss”.
   Action: Collaborate with the board to define clear, board-approved risk appetite statements and communicate these in business language to make it easier to gain stronger buy-in across all levels. Risk owners can extrapolate the appetite statements into tolerance statements to better articulate specific risk areas, aiding in a better understanding for specific stakeholders, business units, and departments.
2. Automate and Incorporate AI (Securely). AI models provide predictive analytics on evolving threats, and automated workflows reduce inefficiencies and free teams to focus on more strategic priorities. Having a team of subject matter experts driving and enhancing the AI model creates a more effective environment and ensures that changing threats and priorities are properly tuned.
   Example: An organization that added AI-driven automation reported a 41% improvement in overall risk reduction.
   Action:  Start by automating repetitive tasks such as risk assessments or policy enforcement. Add AI tools for decision support or predictive analysis.
3. Leverage Comprehensive Data Sets. High-maturity companies take advantage of comprehensive data sets in their environments. They integrate endpoint security data, SIEM logs, threat intelligence, and third-party assessments into their cyber risk management models. 
   Action: Create a centralized dashboard that integrates real-time data feeds and advanced analytics tools to effectively assess the likelihood and impact of risks.
4. Communicate. Communicate. Communicate.  The easiest way to break down hurdles like resistance from other departments is communication. This can also help encourage commitment, fight pushback, and break down walls to find mutually agreeable solutions.
   Action: Foster a “risk-aware” culture. Educate and train at all levels, and break down silos by aligning cyber risk management with business objectives including compliance and performance. Always take the time to have a discussion and answer questions to continue to foster strong business relationships and trust.

Transform Cyber Risk Management Into a Competitive Advantage

The 2025 State of Cyber Risk Management Report paints a picture of this very important discipline that will be critical to organizational success. To stay ahead, businesses must:

• Mature their cyber risk management program
• Align cyber strategies with business objectives
• Quantify risk and use clearer communications
• Perform risk assessments on a continuous basis
• Scale operations with automation and AI
• Integrate cyber risk and third-party risk management programs
• Build data-driven cyber risk management practices for more informed decisions

High-maturity programs go beyond simple compliance; they can drive innovation, resilience, and trust while reducing costs.

Want to learn more actionable insights on cyber risk quantification, automation, and AI adoption? Read the full 2025 State of Cyber Risk Management report.

Download your copy now.