Automation Global Security

Automation Global Security

Industry

Cybersecurity – Security Analytics & Managed Detection

Industry

Cybersecurity – Security Analytics & Managed Detection

Engagement Type

Splunk Security Automation & AI-based Alert Intelligence

Engagement Type

Splunk Security Automation & AI-based Alert Intelligence

Scope

Acceleration of threat detection, triage, and remediation through Splunk Enterprise Security

Scope

Acceleration of threat detection, triage, and remediation through Splunk Enterprise Security

Geography

USA & India

Geography

USA & India

Project overview

Project overview

SOC Intelligence & Threat Response Automation – Global Security Analytics Provider

SOC Intelligence & Threat Response Automation – Global Security Analytics Provider

Challenges

Challenges

  • SOC teams struggled with high alert volume and analyst fatigue, resulting in delayed response.

  • False positives exceeded 62% due to static correlation rules, wasting investigation time.

  • Threat triage and IOC enrichment required manual lookup across multiple sources (Threat Intel feeds, AbuseIPDB, GreyNoise, VirusTotal, internal CMDB).

  • Lack of MITRE ATT&CK mapping limited visibility into adversary tactics and coverage ga

  • SOC teams struggled with high alert volume and analyst fatigue, resulting in delayed response.

  • False positives exceeded 62% due to static correlation rules, wasting investigation time.

  • Threat triage and IOC enrichment required manual lookup across multiple sources (Threat Intel feeds, AbuseIPDB, GreyNoise, VirusTotal, internal CMDB).

  • Lack of MITRE ATT&CK mapping limited visibility into adversary tactics and coverage ga

Our Approach

Built an AI-powered Splunk add-on that enriches alerts with 3rd-party and internal intelligence in real time.

Implemented dynamic scoring of events based on: Source reputation, Trigger pattern, MITRE technique association, Asset criticality, Lateral movement markers

Applied classification and clustering models to group related alerts and reduce noise.

Delivered SOC dashboards for MITRE coverage, threat clusters, SLA performance, and kill-chain progression.

Impact Delivered

Impact Delivered

  • Alert volume reduced by 55% within the first 90 days through AI-powered deduplication and noise suppression.

  • Mean Time to Triage (MTTT) reduced from 28 minutes → 6 minutes.

  • Analyst productivity improved 3×, allowing L1 analysts to resolve cases earlier in the workflow.

  • Enabled continuous compliance reporting and threat coverage visibility for ISO 27001, HIPAA, PCI, and SOC2 programs.</li

  • Built a scalable SOC automation framework to extend across new clients and multiple SIEM environments.

  • Alert volume reduced by 55% within the first 90 days through AI-powered deduplication and noise suppression.

  • Mean Time to Triage (MTTT) reduced from 28 minutes → 6 minutes.

  • Analyst productivity improved 3×, allowing L1 analysts to resolve cases earlier in the workflow.

  • Enabled continuous compliance reporting and threat coverage visibility for ISO 27001, HIPAA, PCI, and SOC2 programs.</li

  • Built a scalable SOC automation framework to extend across new clients and multiple SIEM environments.

Download Case Study

Download Case Study

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