Turn Alert Avalanche into a
Prioritized, Actionable Queue
ATI enriches raw SIEM alerts with IOC validation, actor attribution, and severity scoring, cutting false positives at the source before they reach any analyst. Flocks then automates the triage workflow: ingesting enriched alerts, running investigation playbooks, and closing the loop with ticketing and response without manual handoff. The combination reduces alert noise by more than 85% and ensures real threats aren't buried in low-fidelity notifications.
Alert Volume Has Made Manual
Triage Operationally Impossible
Enterprise SIEM deployments routinely generate thousands of alerts per day. Without intelligence enrichment at source, every alert looks equally important, analysts cannot prioritize without manual investigation, and manual investigation cannot keep pace with volume. The result is a triage backlog where real threats wait alongside thousands of false positives.
Manual Triage Impossible
High-volume SIEM alert queues created by broad detection rules and low-quality IOC feeds consume analyst capacity before the team can reach incidents that matter. When every IP match generates an alert regardless of context or actor association, the signal-to-noise ratio collapses and threat prioritization becomes impossible without additional enrichment that itself takes analyst time.
Manual External Enrichment
SIEM alerts typically contain the raw detection event, source IP, destination, timestamp, rule name, without the threat context needed to assess severity. Analysts must manually query threat intelligence platforms, check multiple IOC databases, and cross-reference actor profiles before they can make a triage decision. Each enrichment cycle adds 10 to 20 minutes per alert, multiplied across hundreds of daily alerts.
Under Low-Fidelity Notifications
Without automated severity scoring based on validated intelligence, SIEM alert queues are flat, a C2 callback from an active APT campaign has the same visible priority as a scanner hit from a known-benign IP. Real incidents regularly go undetected for hours or days because they arrive in the same undifferentiated queue as thousands of low-fidelity events that analysts process sequentially.
Intelligence Enrichment at Source,
Automation Through the Workflow
ATI integrates directly with your existing SIEM via API, enriching every alert with IOC validation, actor attribution, severity scoring, and context from 100B+ threat indicators at the point of ingestion, not downstream after analyst review. The multi-dimensional IP reputation engine filters out false positives before they populate the analyst queue, delivering more than 85% noise reduction without requiring SIEM rule changes.
Flocks takes the enriched alert queue and runs the triage workflow autonomously: investigation playbooks, cross-device correlation, priority assignment, and closed-loop response or escalation. Analysts receive a queue of confirmed, prioritized incidents with investigation summaries ready for decision, not raw alerts requiring hours of manual enrichment.
- ATI API enriches every SIEM alert with IOC validation and actor attribution at ingestion, no downstream manual lookup
- Multi-dimensional IP reputation engine eliminates more than 85% of alert noise before analyst review
- 99.9% intelligence accuracy means ATI severity scores are trustworthy, analysts can act on ATI's assessment without secondary validation
- Flocks automates investigation playbooks on enriched alerts, cross-device correlation runs in parallel across SIEM, EDR, and network tools
- High-confidence threats escalated with full investigation summary; low-confidence closed automatically with audit trail for compliance
Intelligence-First Enrichment Followed
by Autonomous Triage Execution
ATI's API connects directly to your SIEM platform and enriches alerts at ingestion, adding IOC validation status, actor attribution, threat category, severity score, and MITRE ATT&CK technique context to every event. Enrichment happens before the alert reaches any analyst queue, so every item in the triage queue already carries actionable context.
ATI's IP reputation engine applies multi-dimensional scoring, geolocation, ASN reputation, historical malicious activity, infrastructure classification, and real-time threat campaign association, to distinguish genuinely suspicious IPs from the scanner traffic, CDN addresses, and known-benign infrastructure that generate the majority of low-fidelity SIEM alerts. More than 85% noise reduction without SIEM rule modifications.
Flocks runs automated investigation playbooks on ATI-enriched alerts, executing cross-device correlation, running host queries, checking network traffic context, and producing a structured investigation finding. High-confidence threats are escalated with a complete investigation package; low-confidence alerts are closed with a documented audit trail. No manual handoff required at any stage.
From Raw SIEM Alert to
Prioritized Incident, Automatically
The ATI + Flocks triage pipeline is designed to integrate with your existing SIEM without architectural changes. ATI enriches at the API layer; Flocks consumes the enriched queue and runs the investigation workflow. Your analysts interact with the output, not the process.
ATI connects to your existing SIEM via API, Splunk, IBM QRadar, Microsoft Sentinel, and major SIEM platforms are supported. Configuration takes hours, not weeks. ATI begins enriching alerts immediately at ingestion with IOC context, actor attribution, and severity scores.
ATI's multi-dimensional IP reputation engine processes every alert IP against 80M+ daily malicious indicators, historical campaign associations, and infrastructure classification data. Alerts involving known-benign infrastructure are scored low-confidence and filtered from the analyst queue before any human review.
Flocks ingests the filtered, enriched queue. For each alert, specialist agents run investigation playbooks: cross-device correlation across SIEM, EDR, and network tools; host process analysis; lateral movement pattern checks. Results are consolidated into a structured finding with a confidence score and recommended action.
High-confidence threats are escalated to analysts with a complete investigation summary, actor profile, affected hosts, timeline, and recommended response actions. Low-confidence alerts are closed with a documented audit trail. Both outcomes are logged for compliance and used by Flocks to refine enterprise-specific triage accuracy over time.
What Security Teams Achieve with ThreatBook
ATI's multi-dimensional IP reputation filtering eliminates more than 85% of alert noise before it reaches any analyst, reducing daily triage volume from thousands of events to a manageable queue of genuinely suspicious findings requiring human judgment.
ATI's 99.9% accuracy means analysts can trust the enrichment layer, severity scores and actor attributions don't require secondary validation before action, compressing triage decision time from minutes to seconds for each enriched alert.
The ATI + Flocks pipeline eliminates manual enrichment from the standard triage workflow. Analysts receive investigation summaries, not raw alerts, and spend their time on confirmed incidents requiring judgment, not on the retrieval and assembly of contextual data.
The ThreatBook Products Behind This Use Case
Advanced Threat Intelligence with 99.9% accuracy. SIEM API integration for real-time alert enrichment. Multi-dimensional IP reputation engine delivering more than 85% noise reduction. 80M+ malicious IPs updated daily. Actor attribution on every enriched alert.
Learn moreFree, open-source agentic SecOps platform. Automates investigation playbooks on enriched alerts. Rex (Main Agent) + 7 specialist agents across 150+ tools. Closed-loop escalation and closure with full audit trails. Locally deployed, data stays on your infrastructure.
Learn moreSee the ATI + Flocks Triage
Pipeline on Your Alert Data
Book a 30-minute session. We'll demonstrate the ATI enrichment layer and Flocks triage workflow using sample data representative of your SIEM alert types, and walk through the integration architecture for your specific SIEM platform.
No commitment. Response within 1 business day.