AI use cases for security analysts

AI is increasingly pivotal in cybersecurity, being utilized by both threat actors and defenders to enhance or undermine security measures. The adoption of AI has led to a 15.5% increase in generic threats in 2025, as adversaries leverage large language models to create malware with minimal effort. In response, AI-powered tools such as behavioral analytics, anomaly detection, and automated alert triage are helping security analysts identify and respond to threats more swiftly. Elastic Security integrates AI into security operations to reduce alert noise and accelerate investigations, emphasizing the importance of strategic AI implementation that includes auditing existing tools and ensuring human oversight in decision-making. As the digital attack surface expands, AI aids security teams in navigating complex threat landscapes by automating routine tasks and providing enhanced threat intelligence, but human analysts remain crucial for making context-rich decisions. Best practices for integrating AI include auditing tools, mapping processes for automation, and maintaining data quality to ensure AI contributes to a seamless, proactive defense system rather than adding to the workload.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.