In cybersecurity, the effectiveness of AI tools hinges on the quality of data, much like a triathlete’s performance depends on proper nutrition, not just gear. Security Operations Centers (SOCs) often rely on outdated legacy data, creating “data debt” that undermines AI capabilities. Traditional data sources—sparse logs, siloed feeds, and unstructured formats—fail to provide the contextual richness that modern AI models require, resulting in ineffective defenses against sophisticated, AI-enhanced attacks. Transitioning to “AI-ready” data that is structured and context-rich allows SOCs to enhance threat detection and streamline analysis. This shift transforms security operations, enabling teams to quickly identify suspicious activities and prioritize alerts. As AI integration becomes standard, organizations must ensure their security data is optimized for AI consumption to guard against increasingly advanced threats. Emphasizing “clean fuel” for AI-driven security is crucial for maintaining a competitive edge in today’s cybersecurity landscape. More insights are available at Corelight’s website.
Source link
Share
Read more