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Senior niche role but strong bank brand and Bangalore location create moderate competition.
Detection engineering skills transfer across industries, though banking compliance increases domain sensitivity.
Mandates 10+ years cybersecurity, detection engineering, SIEM/SOAR/EDR and AI/ML expertise.
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Lead the design and implementation of detection engineering frameworks focused on identifying and mitigating AI-driven cyber threats including generative phishing, deepfake attacks, and autonomous malware.
Translate actionable threat intelligence into detection use cases and develop AI-assisted threat hunting playbooks to proactively identify and respond to sophisticated threats.
Collaborate with SOC, Incident Response, and engineering teams to integrate detection logic in SIEM, SOAR, and analytics platforms and continuously refine detection strategies based on evolving threat landscapes.
Minimum 10+ years of experience in cybersecurity with strong focus on detection engineering and threat hunting.
Hands-on expertise with SIEM, SOAR, EDR/XDR, and security analytics tools.
Strong understanding and experience with AI/ML concepts in cybersecurity including adversarial AI and anomaly detection.
Work Location: Hybrid role based in Bangalore.
Technical leader with subject matter expertise in threat detection engineering and proactive threat hunting focused on AI-powered threats.
Experienced in integrating behavioral and anomaly-based detections across cloud and hybrid environments, leveraging MITRE ATT&CK framework.
Demonstrates ownership and accountability for overall cybersecurity posture and drives innovation through AI-enabled and automation-first security practices.