AI-Driven Operations & Triage

Automating the "Stare and Compare".

1. The Problem: Alert Fatigue

SOC analysts are drowning.

• Tier 1 Reality: 90% of time is spent gathering context: "Is this IP bad? Is this user separate from HR? Has this machine happened before?"
• Burnout: Repetitive, low-context tasks destroy morale.

2. AI Agents for Triage (Tier 1/2)

Using LLMs (Large Language Models) as autonomous agents to perform the initial investigation.

• Workflow:
  1. Alert Fires: "Suspicious PowerShell" on Host A.
  2. AI Agent Activates:
     • Queries Active Directory: "Who owns Host A?"
     • Queries Threat Intel: "Is the IP in the command malicious?"
     • Queries History: "Has the user run this script before?"
  3. Decision:
     • False Positive: "User is a Developer, script is known good. Auto-Closing."
     • Escalate: "Unknown script, external IP link. Detailed summary prepared for Human Tier 3."

3. Human-in-the-Loop (HITL)

AI doesn't replace the analyst; it gives them superpowers.

• Instead of "Here is a raw log," the analyst gets "Here is a formulated Incident Case with all context attached, waiting for your 'Contain' approval."

4. Efficiencies

• Speed: Machines query APIs milliseconds faster than humans copy-paste.
• Consistency: AI follows the playbook exactly every time.