Customer Success Story

Automating Threat Intelligence: How a Global Security Team Reduced IOC Triage Time by 60%

A leading enterprise security operations team leveraged automated Gene workflows to transform manual indicator enrichment into a scalable, high-confidence threat intelligence pipeline.

Industry
Enterprise Security
Team Size
Global Security Operations
Primary Use Case
IOC Enrichment & Triage
Implementation
Q3 2024
60%
Reduction in Triage Time
Mean time to process and classify high-volume security alerts
4×
Enrichment Depth
Increase in contextual evidence gathered per indicator
90%
Workflow Automation
Routine enrichment and correlation tasks now fully automated
Challenge

Manual Processes Limiting Threat Response Capabilities

The security operations team faced a critical bottleneck in their threat intelligence workflow. Despite having access to premium threat feeds and sophisticated security tools, analysts spent the majority of their time on manual enrichment tasks rather than strategic threat hunting and incident response.

  • Analysts manually pivoted between multiple tools (DNS lookups, WHOIS databases, passive DNS repositories, and proprietary threat intelligence platforms) for each indicator of compromise
  • Alert triage playbooks existed as fragmented documentation across SIEM rules and SOAR platforms, making them difficult to version control, test, or audit
  • Security policy enforcement for external API calls was inconsistent, creating compliance risk and making it challenging to standardize automation practices
  • Senior analysts spent up to 70% of their time on repetitive enrichment work instead of high-value threat analysis

The result was predictable: inconsistent enrichment quality, extended mean time to triage (MTTT), and a skilled security team unable to focus on strategic initiatives.

Solution

Gene-Based Automation Architecture

The team implemented a Gene-based automation framework that transformed their approach to threat intelligence. Genes serve as versioned, reusable building blocks that encapsulate enrichment logic, curated prompts, and policy-compliant tool integrations.

Core Implementation Components
Each Gene packages repeatable threat intelligence logic with built-in policy controls, structured logging, and version management—enabling the team to iterate on their automation with the same rigor they apply to production code.

Automated IOC Enrichment Pipeline

The team developed a core enrichment Gene that processes indicators from multiple sources:

  • Accepts IOCs (IP addresses, domains, file hashes, URLs) directly from SIEM alerts and case management systems
  • Orchestrates calls exclusively to pre-approved enrichment services with proper authentication and rate limiting
  • Normalizes heterogeneous response formats into a unified schema for consistent downstream processing
  • Applies confidence scoring algorithms to evidence and attaches structured metadata to original alerts

Version Control and Iterative Refinement

Because Feluda.ai Genes are versioned artifacts, the team can systematically improve their enrichment logic. Changes to parsing rules, scoring algorithms, or prompt engineering are tracked, tested, and deployed with full audit trails. This enables A/B testing of enrichment strategies and immediate rollback capabilities if issues arise.

Policy-Enforced Orchestration

A centralized policy enforcement layer mediates all tool executions, ensuring compliance and security:

  • Blocks unauthorized external API calls during automated enrichment workflows
  • Enforces least-privilege access controls for each integration
  • Maintains comprehensive audit logs of every enrichment decision, data source query, and tool invocation
  • Respects vendor rate limits and manages retry logic automatically
Impact

Measurable Improvements Across the Security Pipeline

The implementation delivered immediate, quantifiable improvements to the team's threat intelligence operations. Analysts now spend their time on hypothesis-driven investigations rather than manual data gathering.

  • First-pass enrichment for the majority of incoming IOCs is now fully automated, with human review triggered only for high-confidence threats or ambiguous cases
  • Triage decisions are supported by consistent, confidence-scored context, eliminating the variability that previously existed between analysts
  • Security leadership gained unprecedented visibility into enrichment decision logic through structured audit logs and version-controlled Gene definitions
  • The team reduced mean time to triage by 60% while simultaneously improving enrichment depth and consistency
Strategic Outcome
Automation didn't replace analysts—it eliminated the repetitive work that constrained their capacity. The team now operates at significantly higher velocity while maintaining improved quality and reproducibility across all triage decisions.