Beyond Behaviors: AI-Augmented Detection Engineering with ES|QL Completion

Traditional behavioral detection rules excel at catching known patterns, but sophisticated threats increasingly operate within the boundaries of normal behavior. This article explores how ES|QL's COMPLETION command leverages large language models to classify and detect threats that evade conventional rule-based approaches.

Key topics covered include:

• The limitations of purely behavioral detection engineering
• How ES|QL COMPLETION integrates LLM inference directly into detection queries
• Practical examples of hybrid detection combining rule-based pre-filters with LLM classification
• Strategies for managing confidence scores and reducing false positives
• Performance considerations for production deployment

Check out the original blog post at Elastic Security Labs.