Research Note: Growing Importance of AI in Both Cybersecurity & General Business Operations
Top 5 Strategic Planning Assumptions
Organizations are expected to widely embrace generative AI technologies, integrating them into various business processes and applications. Cybersecurity spending is projected to continue its upward trajectory, reflecting the growing importance of digital security in an increasingly connected world. The adoption of AI-powered automation in IT and security operations is set to become mainstream, helping to address efficiency challenges and skill shortages. Finally, there's a clear trend towards more comprehensive security architectures, with zero trust models gaining significant traction, and increased focus on insider threat monitoring using advanced technologies.
By 2026, 80% of enterprises will have used generative AI APIs or deployed generative AI-enabled applications in production environments, driven by the rapid maturation and accessibility of the technology. (Probability 0.9)
Global spending on cybersecurity solutions and services will reach $219 billion in 2023, an increase of 12.1% compared to 2022, as organizations continue to prioritize cybersecurity in response to evolving threats. (Probability 0.95)
By 2025, 70% of organizations will implement AI-powered automation in IT operations, including security operations, to improve efficiency and address the cybersecurity skills gap. (Probability 0.85)
The adoption of zero trust security architectures will reach 60% of large enterprises by 2025, driven by the expanding attack surface and the proliferation of remote work. (Probability 0.8)
By 2024, more than 50% of enterprises will have formal programs to monitor their employees' activities using Machine Learning and AI algorithms, aiming to protect against insider threats. (Probability 0.75)