Streamlining the Security Analyst Experience

Key Takeaways

• An Agentic SOC utilizes AI Agents and Skills to automate workflows like detection engineering, alert triage, and threat hunting.
• Elastic Security integrates AI via Agent Builder, which is LLM-agnostic and supports conversational triage and Attack Discovery.
• Automated workflows can perform immediate response actions, such as isolating vulnerable hosts and creating centralized cases.
• Organizations must carefully evaluate the risk profile and permissions of AI-driven security workflows before deployment.

Detection Availability

• YARA Rules: No
• Sigma Rules: No
• Snort/Suricata Rules: No
• KQL Queries: No
• Splunk SPL Queries: No
• EQL Queries: No
• Other Detection Logic: No

No specific detection rules are provided, though the article mentions Elastic's library of over 1,700 pre-built SIEM rules.

Detection Engineering Assessment

EDR Visibility: None — The article discusses SOC methodology and product features rather than specific threat behaviors. Network Visibility: None — No network-based threats or indicators are discussed. Detection Difficulty: Moderate — Not applicable as this is a conceptual article about AI in the SOC.

Hunting Hypotheses

False Positive Assessment

• Low

Recommendations

Immediate Mitigation

• N/A

Infrastructure Hardening

• N/A

User Protection

• N/A

Security Awareness

• Evaluate the risk profile, data access, and permissions of AI-driven security workflows before enabling them in production environments.