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.
