← Back to Agents

SOC Analyst Agent

Tier-1 Autonomous SOC Analyst that triages security alerts, investigates false positives, enriches incidents with threat intelligence, and escalates critical threats.

SplunkMicrosoft SentinelCrowdStrikeServiceNowSlack

Hire this Agent

Ready to automate this workflow? Book a demo to see it in action.

Book a Demo
Created By
HHunto AI
Last UpdateLast update 12 hours ago
CategorySecOps
Share
!
High Severity Alert
Suspicious PowerShell Execution detected on host: WRK-LPT-092
Source: CrowdStrike EDR

Alert Ingestion

Ingesting high-volume alerts from SIEM, EDR, and Cloud sources instantly.

IP Reputation
Clean (0/89)
User History
Rare Behavior
Process Tree
Spawned cmd.exe
Threat Intel
Known Malware

Autonomous Investigation

Querying multiple tools simultaneously to gather facts like a human analyst.

"User is Marketing, but running Admin scripts..."
"Hash matches known Emotet variant."
"Confidence score > 90%."

Cognitive Reasoning

Thinking through the evidence to determine intent and severity.

False Positive
Auto-Close
True Positive
Escalate

The Verdict

Classifying the alert and taking action: Auto-close noise or Escalate threats.

Case #4921: Validated Incident

MITRE T1059
Lateral Movement

Case file Generation

Writing a human-readable investigation summary for Tier 2 analysts.

Live Workflow

Description

The SOC Analyst Agent alleviates "Alert Fatigue" by automating the Tier 1 Analyst role. In a typical SOC, analysts drown in thousands of daily alerts from SIEMs and EDRs. This agent investigates every single one. It mimics human intuition but at machine speed—checking IP reputation, looking up user history, and correlating events across tools to determine if an alert is a "True Positive" or "False Positive." It auto-closes the noise and escalates the real threats with a full investigation dossier.

How it works?

When an alert fires (e.g., "Malicious PowerShell detected"), the agent starts a "Playbook." It queries the endpoint to get the process tree, checks the hash on VirusTotal, and sees if the user opened a ticket recently. It uses LLMs to reason over this evidence. "Is this admin running a script they run every Tuesday?" -> False Positive -> Close. "Is this a new script from a temp folder?" -> True Positive -> Escalate. It writes a human-readable case summary explanation for the Tier 2 analyst.

Key Features

  • Autonomic Triage: Reduces alert volume by 80%+ by auto-closing false positives.
  • Contextual Enrichment: Gathers all necessary data (logs, reputation, user context) before a human sees the ticket.
  • Decision Transparency: Explains *why* it classified an alert as benign or malicious in natural language.
  • Response Actions: Can isolate hosts or disable users if confident in the verdict.
  • Continuous Learning: Learns from human feedback on its escalations to improve accuracy.

    • Step by Step

    1
    Trigger Ingests alert from SIEM or EDR via webhook.
    2
    Investigate Queries 5-10 different tools (Identity, Network, Endpoint) to gather facts.
    3
    Reason Uses specialized security LLMs to inspect the facts and potential intent.
    4
    Decide Tags as 'Benign', 'Suspicious', or 'Malicious'.
    5
    Report Updates the ticketing system with the verdict and evidence package.

    Available Integrations

  • SIEM: Splunk, Microsoft Sentinel, Sumo Logic.
  • EDR: CrowdStrike Falcon, SentinelOne, Microsoft Defender for Endpoint.
  • ITSM: ServiceNow, Jira, Zendesk.

    • *Note: Hunto AI also customizes each agent, integrations, activity, and output as required by the security teams in different industries.*

    Expected Output

  • Time to Triage: Reduced from 30 minutes to 30 seconds per alert.
  • Coverage: 100% of alerts reviewed (no more "ignoring low priority alerts").
  • Analyst Burnout: Reduced significantly by removing repetitive investigative tasks.
  • Standardization: Every investigation follows the same rigorous process.