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How Organizations Can Shift From GRC To AI-Powered Cyber Risk Management
The cyber threat landscape has evolved significantly in recent years, with the number of threats escalating at an alarming rate. In 2024 alone, Amazon reported encountering approximately 1 billion cyber threats daily, a stark contrast to the 100 million seen earlier that year. This surge is largely attributed to cybercriminals leveraging advancements in AI to enhance their attack strategies.
As organizations recognize the limitations of traditional governance, risk and compliance (GRC) platforms, they are beginning to shift towards an AI-powered approach to cyber risk management. However, this transformation requires a strategic understanding of the challenges that come with it.
Firstly, internal stakeholders, including Security Operations Centers (SOCs) and GRC teams, must be aligned on the new approach and its benefits. This presents an opportunity for security leaders to motivate their teams, as they will now have more time to focus on proactive, high-value work rather than reactive tasks.
Next, it is essential that organizations select a trusted vendor to guide this transformation and ensure seamless integration with existing technology stacks and personnel. The key here lies in avoiding disruption and maintaining business continuity during the transition period.
Moreover, security leaders must educate stakeholders across the organization on the value of AI-powered cyber risk management, highlighting its ability to eliminate costly manual analysis, reduce reliance on outdated risk registers, and prioritize risks based on business context using AI-driven decision intelligence.
The transformation also requires showcasing the financial impact that this new approach will drive. This includes demonstrating how it can optimize resources, maximize return on security investment (ROSI), and enable organizations to shift from reactive to adaptive risk management.
To ensure success, organizations must be prepared to provide real-time, quantifiable insights into their risk landscapes in a language that is easily understood by the board of directors. This necessitates leveraging automation and AI-driven insights to continuously assess and adapt to the evolving threat landscape, as well as providing credible tracking and reporting for C-suite, boards, auditors, or regulatory reviews.
Ultimately, organizations must prioritize an AI-first approach to cyber risk management to keep pace with the rapidly changing threat environment. By integrating automation into their existing tech stack and personnel, they can enhance risk visibility, improve response effectiveness, and maximize return on security investments.
Source: https://www.forbes.com/councils/forbestechcouncil/2025/03/25/how-organizations-can-shift-from-grc-to-ai-powered-cyber-risk-management/
