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How To Shift From GRC To AI-Powered Cyber Risk Management

Mar 25, 2025 - forbes.com
The article discusses the limitations of traditional governance, risk, and compliance (GRC) platforms in managing cybersecurity risks, highlighting that these systems were designed for static compliance processes rather than the dynamic nature of cyber threats. With cyber risks evolving rapidly due to advancements in AI and increasing threat intelligence, organizations are shifting towards automated, continuous cyber risk management. This transition requires a strategic approach, integrating real-time, actionable insights to enhance risk visibility and response effectiveness, while aligning cybersecurity with core business strategies.

The article emphasizes the importance of an automation-first strategy, which quantifies cyber risk in financial terms, provides real-time intelligence, and breaks down silos between security, risk, compliance, and executives. This approach is crucial as cyber risk becomes a board-level issue, driven by new SEC regulations. Organizations are encouraged to align internal stakeholders, select trusted vendors, and communicate the financial impact of security transformations to ensure successful adoption and maximize return on security investments.

Key takeaways:

  • Traditional GRC platforms are inadequate for dynamic cybersecurity needs, requiring a shift to automated, continuous cyber risk management.
  • Cyber threats are intensifying, with advanced AI technologies being used by cybercriminals, necessitating real-time, actionable insights for effective risk management.
  • Cyber risk is now a board-level issue, demanding integration into core business strategies and real-time quantifiable insights for effective communication with executives.
  • An automation-first approach in cyber risk management can optimize resources, maximize return on security investments, and align all stakeholders with a unified source of cyber truth.
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