We are seeking a Senior Information Security Engineer to help transform the Intellectual Property (IP) protection program through advanced, AI-driven data loss prevention (DLP) and data labeling capabilities. This role goes beyond traditional rule-based DLPfocusing on contextual understanding of data, users, and behavior, large-scale discovery of sensitive IP, and adaptive, automated controls powered by machine learning and generative AI technologies

Key responsibilities

DLP Architecture & Operations
Design and deploy DLP capabilities that understand data sensitivity, business context, user intent, and behavioral risk, rather than relying solely on patterns or keywords.
Build detection rules for source code, hardware design files, algorithms, product roadmaps, and other IP artifacts (e.g., complex regex, fingerprints, EDM/IDM, ML-based classifiers).
Tune and optimize policies to reduce false positives/negatives; implement tiered response workflows and auto-remediation actions.
Establish monitoring for egress vectors (USB/removable media, print, email, SaaS,



personal webmail, messaging, generative AI tools, cloud sync).
Develop detections for anomalous IP access/exfil patterns (e.g., code repo mirroring, bulk downloads, atypical off-hours activity).
Identify early indicators of IP misuse or exfiltration through behavioral analytics rather than reactive alerting.
Define guardrails for the secure use of generative AI tools, ensuring proprietary data and IP are protected from unintended disclosure
Author and maintain IP protection standards, DLP/runbooks, and exception processes.
Define and track KPIs/KRIs (e.g., DLP alert quality, mean time to triage/close, exfil attempts prevented, classification coverage).

Data Classification & Labeling
Implement scalable AI-assisted data discovery across endpoints, cloud services, SaaS platforms, and code repositories to identify previously unknown or unclassified IP.
Implement and scale enterprise data clas

📌 Sr Security Engineer Hyderabad
🏢 Micron Technology
📍 Hyderabad