CrowdStrike: Cybersecurity experts demand safer, specialized GenAI tools

20.12.2024

A growing majority of cybersecurity professionals prefer platform-based GenAI solutions, with 80% of respondents opting for integrated tools over standalone ones. The seamless integration of GenAI into existing cybersecurity systems is crucial, as it allows for greater efficiency and effectiveness. Many security teams recognize that GenAI’s true value is realized when it functions as part of a unified technology ecosystem, with tools that complement current systems. Furthermore, 63% of those surveyed indicated they would consider switching vendors for access to better GenAI capabilities, underscoring the demand for integrated platforms that simplify operations and reduce complexity.

Security teams also emphasized the importance of having GenAI tools tailored specifically for cybersecurity, rather than general-purpose AI systems. A significant 83% of respondents expressed distrust in tools offering inappropriate or misleading security advice. Breach prevention remains a central focus, with 74% of respondents reporting recent security breaches or concerns about potential vulnerabilities. As a result, organizations prioritize vendors with demonstrated expertise in cybersecurity and threat intelligence, over those with broader AI knowledge.

Interestingly, the survey found minimal concern about job displacement due to automation. Instead, security professionals see GenAI as a tool for augmenting human roles by automating repetitive tasks, reducing burnout, and accelerating decision-making processes. Respondents cited applications like threat intelligence analysis and automated response mechanisms as key areas where GenAI would enhance their workflows, not replace human involvement.

When it comes to investments in GenAI, organizations are focused on ROI. The survey revealed that security teams prioritize the financial justification of GenAI investments, with expected benefits coming from cost optimization, fewer incidents, and reduced management time. The prospect of streamlining operations and saving on tool management and training costs makes GenAI deployments an attractive option.

However, adoption is tempered by concerns about safety and privacy. Many organizations are introducing new policies to ensure GenAI usage is secure, given risks like data exposure and adversarial attacks. While GenAI’s potential in cybersecurity is vast, it is clear that its successful integration depends on addressing these risks responsibly. The future of GenAI in cybersecurity will hinge on creating tools that not only improve security outcomes but also maintain the highest standards of safety and privacy.