Check Point has released its highly anticipated 2024 Cloud Security Report, which unveils current trends and challenges in the adoption of artificial intelligence (AI) and machine learning (ML) in the cybersecurity field. The report highlights that 91% of respondents consider the adoption of these technologies a priority, especially in vulnerability assessment and threat detection. However, only 61% of organizations are in the planning or development stages of integrating AI and ML into their cybersecurity strategies, demonstrating a significant gap between the perceived importance and actual implementation.
Current State of AI in Cybersecurity
The survey conducted by Check Point and Cybersecurity Insiders with hundreds of professionals from various industries shows that the integration of AI into cybersecurity functions is still in its early stages. 61% of respondents describe the adoption of AI and ML in their organizations as “planning” or “under development”, while only 24% categorize it as “mature” or “advanced”. Additionally, 15% admit they have not yet implemented these technologies in their cybersecurity efforts.
The cybersecurity functions most benefiting from AI include malware detection (35%), user behavior analysis, and supply chain security. However, security posture management and adversarial AI research are less developed areas.
Challenges in AI Adoption
One of the main obstacles to rapid AI adoption is the complexity of the regulatory environment, which is constantly evolving. Companies must navigate carefully to comply with regulations and avoid compliance risks, which can be a complex and resource-intensive process.
Priorities and Benefits of AI in Cybersecurity
Despite slow adoption, 91% of respondents consider AI a priority for the future of cybersecurity in their organizations. The main areas of potential identified include automation of repetitive tasks and improvement in anomaly and malware detection, with 48% highlighting these aspects. Additionally, 41% see reinforcement learning for dynamic security posture management as a promising opportunity.
However, the report also points out that only 21% of respondents consider AI a significant cost-saving tool, due to the challenges and costs associated with compliance and implementation.
Concerns and Contrasting Attitudes
The report reveals divided concerns and attitudes about the impact of AI on the cybersecurity workforce. While 49% acknowledge the need for new skills and 35% observe a redefinition of job roles, the impact on the workforce size is mixed: 33% report a reduction, while 29% have increased their team to integrate the new technology.
Additionally, there is a lack of consensus on the importance of internal controls and data governance policies when using AI. 44% of respondents disagree with the statement that their organizations would be comfortable using generative AI without these controls, while 37% agree, showing a significant division in the perception of this critical aspect.
Check Point’s Perspective
Check Point emphasizes that AI plays a crucial role in enhancing cybersecurity measures and protecting assets. Successful AI implementation requires thoughtful integration and governance. To achieve the efficiency and precision that AI can offer, organizations must carefully consider how they integrate these technologies into their existing systems and processes. Strategic consulting services will be essential in helping companies implement AI safely and effectively.
Check Point Security Consulting leverages its expertise along with independent frameworks such as NIST CSF, SABSA, and Zero Trust Architecture to offer advisory and assessment services to the company’s global customer community.
Conclusion
Check Point’s report underscores the growing importance of AI in cybersecurity, as well as the challenges and benefits associated with its adoption. While most organizations recognize its potential, there is still a long way to go for its full integration and utilization in protecting against cyber threats.