Artificial intelligence (AI) is revolutionizing the field of cybersecurity, integrated into almost all products in the sector, from endpoint protection platforms to email filtering systems. However, security professionals must learn to use this tool efficiently, rather than relying solely on its automation, experts in the field warn.
Cybersecurity
As noted in a recent analysis by Mark Baggett, a SANS expert, many of the decisions made by AI models are based on statistical reasoning that lacks contextual understanding. This could lead to inappropriate decisions that overlook the specifics of each organization and its mission. Therefore, it is essential for security teams to develop customized workflows that give them control over these tools.
Baggett compares the arrival of AI in security to the transformation experienced by the iconic character Paul Bunyan with the emergence of new tools. While Bunyan tried to outdo a machine with physical effort, security professionals must learn to integrate AI to enhance their effectiveness in investigations. AI can alleviate the workload in repetitive tasks and the translation of complex data, allowing experts to focus their attention on critical reasoning.
Understanding Python and the basic concepts of AI has become essential for professionals in this field. This fluency not only helps refine the output of AI models but also allows them to make informed decisions in critical situations. Ultimately, although AI can automate many tasks, human responsibility and judgment will remain crucial for success in cybersecurity.