Filter generation in practice: from algorithms to LLMs
Kaspersky researchers benchmark three approaches—algorithmic, single-LLM, and multi-agent—for auto-generating security alert filters, offering SOC teams a practical path to reduce manual tuning overhead.
Summary written by editorial AI · Source link below
We automate filter generation for security alerts using an algorithm, a large language model, and a group of LLM agents.
Editorial Analysis
Automating alert-filter creation addresses the chronic SOC fatigue problem; understanding trade-offs between deterministic and LLM-based methods helps teams adopt the right approach without introducing new blind spots.
Run a controlled comparison of your current manual filter-creation process against an LLM-assisted workflow on a subset of alert types to quantify efficiency gains.
Forward-looking interpretation drafted by editorial AI under human review — not a reproduction of the source. See methodology.
External link — opens at Securelist (Kaspersky) in a new tab.
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