4 gaps slowing AI in enterprise SOCs

Enterprise security teams struggle to implement AI effectively in their SOCs (security operations centers, where security analysts monitor and respond to threats) because they face four key gaps: lack of trust in AI decision-making, misalignment with existing workflows, fragmented data across multiple tools, and unclear implementation strategies. Rather than needing more AI technology, organizations need AI that integrates smoothly into their current operations and provides transparent, explainable results that analysts can understand and validate.