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How to calculate your AI-powered cybersecurity’s ROI
- Organizations will increase cybersecurity AI spending dramatically from $24 billion in 2023 to $133 billion by 2030.
- Measuring ROI on cybersecurity investments with the integration of artificial intelligence has become increasingly challenging.
- Reduction in false positives, time saved on routine tasks, faster incident response times and improved threat intelligence accuracy are the metrics for measuring the ROI of cybersecurity investment.
- According to the IBM 2024 Cost of a Data Breach report, prevention workflows integrated with AI and automation saved an average of $2.2 million in breach costs compared to those without such technologies.
- Key Performance Indicators (KPIs) such as security operational efficiency and mean time to detect and respond should be carefully considered when measuring the ROI of cybersecurity investment.
- Organizations must adopt a comprehensive approach to measure the impact of AI cybersecurity investment, including proactive capabilities, efficiency gains and quantifiable metrics provided by AI-powered solutions, to get an accurate assessment of cybersecurity ROI.
- The integration of AI in cybersecurity will only be more critical as cyber threats continue to evolve, making it essential for organizations to invest in and effectively measure cybersecurity strategies.
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