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Client Context
SOC Intelligence & Threat Response Automation – Global Security Analytics Provider
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Industry:
Cybersecurity – Security Analytics & Managed Detection
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Geography:
USA & India
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Engagement Type:
Splunk Security Automation & AI-based Alert Intelligence
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Scope:
Acceleration of threat detection, triage, and remediation through Splunk Enterprise Security
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
Our Apporach
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Built an AI-powered Splunk add-on that enriches alerts with 3rd-party and internal intelligence in real time.
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- Implemented dynamic scoring of events based on:
- Source reputation
- Trigger pattern
- MITRE technique association
- Asset criticality
- Lateral movement markers
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Applied classification and clustering models to group related alerts and reduce noise.
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- Automated workflows for:
- Malware triage
- Identity-based threat detection
- Privilege escalation & lateral movement correlation
- Suspicious outbound connection
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Delivered SOC dashboards for MITRE coverage, threat clusters, SLA performance, and kill-chain progression.
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.
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