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About Company:
Our client is CyberSecurity Startup, which is a sister concern of a major Business House in India
An Ideal Candidate:
This is a hands-on leadership role for someone who has built graph-driven systems and understands real-world incident response workflows.
Key Competencies:
What You’ll Do
Define and evolve the security entity and relationship model, including lifecycle, properties, and retention strategies.
Design and own the graph ingestion layer, responsible for translating events and posture data into persistent, queryable relationships.
Build and operate entity resolution systems that accurately correlate users, hosts, identities, workloads, and data assets across domains.
Develop a robust library of investigation, blast-radius, and pivot queries used by analysts, automation, and guardrails.
Partner with Detection and ML teams to compute, refine, and expose entity- and campaign-level risk scores.
Ensure the graph supports real incident workflows, including timeline reconstruction, lateral movement analysis, and impact assessment.
Drive performance, scalability, and correctness of the correlation layer as data volume and tenant count grow.
Lead and mentor a senior team focused on correlation logic, investigation ergonomics, and analytical correctness.
You'll no longer be considered for this role and your application will be removed from the employer's inbox.