Key Responsibilities:
Threat Detection & Monitoring: Continuously monitor network traffic, endpoint logs, and cloud security events for anomalous behavior and potential security incidents.
Splunk Management: Create, maintain, and tune Splunk correlation searches, alerts, and dashboards to minimize false positives and improve detection capabilities.
Incident Response: Investigate potential security incidents, follow forensic evidence, and collaborate with IT and network teams to remediate threats.
Use Case Development: Develop and refine detection and response playbooks based on threat intelligence and frameworks like MITRE ATT&CK.
Log Integration: Work with infrastructure teams to onboard new data sources, ensuring log integrity, parsing, and normalization across the SIEM platform.
Compliance & Reporting: Support audit readiness by collecting SIEM control evidence and generating compliance reports aligned with internal policies and standards.
Interested candidates, kindly apply...!!!!
What We Do
Info Origin is an AI-first technology company. We design and deploy intelligent systems that help enterprises operate with clarity, speed, and scale. From advanced analytics to autonomous workflows, our work is grounded in real-world impact. Our approach brings together data, engineering, and AI to modernize applications, unlock insight, and orchestrate complex operations with precision. Our products and platforms extend this capability: AgentFarm — multi-agent, enterprise-grade, policy-governed AI workforce that enables structured execution, resilient workflows, and full auditability, with parallel reasoning, tool orchestration, and real-time observability. Contract Insights — AI-driven clause extraction, NL search multi-document comparison engine for legal and commercial workflows. CDMS — intelligent document creation, collaboration, and compliance, powered by AI-based automation. Info QA — codeless test automation with end-to-end traceability. We partner with organizations to translate AI ambition into measurable outcomes - securely, responsibly, and at scale.
