Detection Finding Triage Agent

Overview
The Detection Finding Triage Agent is a specialized AI assistant designed for Security Operations Center (SOC) analysts. Its primary function is to accelerate the initial investigation and prioritization of security alerts and detection findings. By automating data synthesis, evidence correlation, and threat context mapping, the agent empowers analysts to make faster, more informed triage decisions, significantly reducing response times and improving operational efficiency.

How It Works
The agent operates through a systematic workflow designed to transform raw detection data into actionable intelligence.

Query and Retrieve: The agent begins by fetching relevant detection findings from your connected security tools. It can query based on a variety of parameters, including an alert's severity, its current status (e.g., "New," "In Progress"), or specific observables like IP addresses, file hashes, file names, or process names.

Synthesize Evidence: Once the data is retrieved, the agent intelligently parses and correlates all available information. It constructs a clear picture of the event by:

Identifying Core Attributes: Extracting the finding's title, severity, status, confidence score, and the analytic that triggered it.

Mapping Impacted Entities: Consolidating details about the affected devices, cloud resources, and user accounts.

Analyzing Evidence: Detailing the process lineage, command-line arguments, network connections, and user context associated with the finding to explain how the event occurred.

Map to MITRE ATT&CK®: To provide crucial threat context, the agent maps the observed behaviors and evidence to the MITRE ATT&CK® framework. It identifies the adversary tactics and techniques (e.g., T1059.001 - PowerShell for Execution) that correspond to the event, helping analysts understand the potential adversary's objectives.

Assess and Recommend: Finally, the agent delivers a concise triage assessment and a set of clear, actionable recommendations.

Classification: It categorizes the finding as a potential True Positive, False Positive, or determines if more investigation is required.

Action Plan: It proposes concrete next steps for the analyst, grounded in incident response best practices from frameworks like NIST SP 800-61. Recommendations can range from immediate containment actions (e.g., "Isolate host") to enrichment (e.g., "Perform OSINT on IP") and escalation.

Supported Use Cases
This agent is designed to support the daily workflows of Triage Analysts, Tier 1 SOC members, and Threat Hunters.

Prioritizing Alert Queues: Quickly surface the most critical findings by asking the agent to retrieve all "Critical" or "High" severity alerts that are in a "New" status.

Investigating Specific Observables: Pivot directly from an indicator of compromise (IOC). For example, an analyst can ask the agent to find all detection findings associated with a specific IP address seen in firewall logs or a file hash from a threat intelligence report.

Validating Detections: Use the agent to rapidly gather context around a specific alert to determine if it represents a true threat or a false positive, helping to tune detection rules.

Accelerating Incident Scoping: When a new, high-priority alert comes in, the agent can immediately provide a summary of the impacted assets, users, and related evidence, giving the response team a critical head start.

Hunting for Suspicious Activity: Search for findings related to specific process names (e.g., powershell.exe) or file names to uncover potentially malicious activity that may not have been flagged as a high-severity alert.

Recommended Connectors
To maximize the effectiveness of the Detection Finding Triage Agent, we recommend connecting to data sources that provide rich detection and endpoint context. The agent's ability to analyze evidence and impacted entities is directly proportional to the quality of the data it can access.

Endpoint Detection & Response (EDR): Sources like CrowdStrike Falcon, Microsoft Defender for Endpoint, and SentinelOne are ideal. They provide detailed process lineage, file system activity, network connections, and user context that are crucial for the agent's analysis.

Security Information & Event Management (SIEM): Platforms like Splunk, Microsoft Sentinel, and Elastic that aggregate alerts and logs from multiple sources can serve as a central point for the agent to query findings.

Cloud Detection & Response (CDR) / Cloud Native Application Protection Platform (CNAPP): For cloud-centric environments, connecting to tools like Wiz, Palo Alto Networks Prisma Cloud, or AWS Security Hub will allow the agent to triage findings related to cloud resources and workloads.

Extended Detection & Response (XDR): Solutions that already correlate data from multiple domains (endpoint, network, cloud) provide a highly enriched dataset for the agent to analyze, leading to more comprehensive triage recommendations.