Overall, the adoption of AI in security teams is on the rise, but there is still some skepticism and confusion surrounding its implementation. The integration of machine learning and RPA into security tools has become more prevalent, but there is a need for clarity and transparency in understanding the true extent of AI usage.
The introduction of SBOMs will help to provide a clearer picture of the AI technologies being used in organizations, moving us from speculation to concrete facts. It is important for security teams to be aware that threat actors are also leveraging AI, particularly in social engineering tactics, which can pose a significant challenge to traditional security measures like Zero Trust.
While some security teams may be hesitant to explore AI capabilities without proper approval, there is an opportunity to collaborate with startup companies to innovate and solve real-world security challenges. CISOs play a crucial role in managing AI use within their organizations, working alongside cross-functional teams to develop governance frameworks and ensure a safe environment for innovation.
One key aspect that CISOs may be missing is a mindset for innovation. Embracing AI and new technologies is essential for staying ahead of evolving threats, and blocking or banning AI use may hinder progress and ultimately lead to negative outcomes for security teams.
In conclusion, the key takeaway is to approach AI adoption in security with caution and strategic planning. By staying informed, collaborating with industry standards bodies, and fostering a culture of innovation, security teams can effectively leverage AI to enhance their defenses and stay ahead of cyber threats.