Anomali can be improved in various aspects. Its AI-driven automation can further advance, and AI-powered investigation summaries can improve. User experience could be enhanced through simplification of workflows. Better board-level cyber risk dashboards could provide easier visualization. Additionally, Anomali could work on simplifying the pricing structure. Although it excels in threat intelligence aggregation and operationalization, stronger GenAI capability, improved executive reporting, and a more intuitive workflow for analysts would further increase SOC efficiency and add more business value. Regarding Anomali's AI capabilities, governance and security are quite good. Anomali has incorporated AI and machine learning primarily to improve correlation and prioritization. These capabilities are valuable but could be more mature. The platform could achieve better threat correlation, prioritization, more anomaly detection, and allow AI to accelerate intelligence analysis while further improving quality and relevance. The accuracy and reliability of Anomali's AI output are fairly reasonable and good. The AI engine works well, but this capability could be improved. Better threat correlation with threat actors, certain indicators of compromise, malware, and campaigns is possible. Threat prioritization could increase, and alert noise could be reduced through further de-duplication. While reasonable, this is not the best available, and other products possibly have more AI maturity, such as Recorded Future and CrowdStrike Falcon.
