Vague requests like "check if someone transferred sensitive files externally last month" are notoriously difficult to investigate. Without specific file names or indicators, analysts often spend hours writing complex queries across firewalls, network logs, and DLP feeds just to establish a baseline.
IIn this session, we will demonstrate how Cortex XSIAM’s built-in Agentic Assistant simplifies this triage process using plain-language prompts:
- Execute hypothesis-based investigations using natural language prompts instead of writing custom query code from scratch.
- Correlate data across multiple network sources to build a unified timeline of user activity, DLP alerts, and file transfers.
- Identify suspicious file activity automatically without needing prior knowledge of specific file names or paths.
- Move directly from findings to action by reviewing AI-recommended next steps and triggering response playbooks.
See a live demonstration of this default, out-of-the-box feature, review real-world query outputs, and take home practical prompts you can test immediately in your own environment.
This session is designed for SOC analysts, threat hunters, and incident response team members looking for practical ways to speed up daily investigations.
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