Responsibilities
- Monitor and assess DLP alerts from endpoints, browsers, SaaS platforms, and AI tools to detect possible data leaks, policy breaches, and insider threats.
- Perform real-time evaluation of security alerts by analyzing behavioral patterns, data provenance, and sensitive content to differentiate actual threats from false alarms.
- Conduct in-depth forensic examinations of data exposure incidents, reviewing user actions, data flow, and methods of exfiltration such as email, web uploads, removable devices, printing, and AI applications.
- Follow defined incident response protocols and escalate critical cases in coordination with customer security teams.
- Record investigation outcomes, evidence chains, and remediation steps in clear, actionable reports.
- Design and manage DLP policies aligned with customer data classification, regulatory standards like GDPR, HIPAA, PCI-DSS, SOX, and business goals.
- Refine detection logic and sensitivity levels to minimize false alerts while preserving strong threat detection.
- Analyze alert trends to suggest new detection scenarios, techniques, and policy enhancements.
- Collaborate with clients to build custom detection rules for industry-specific data and unique operational needs.
- Develop behavioral baselines by role, department, and region to enhance anomaly identification.
- Act as a technical advisor on data security, DLP practices, and insider threat mitigation for customer teams.
- Lead periodic operational reviews to discuss data risk trends, policy performance, and program maturity.
- Train customer security personnel on effective use of the DLP platform, including investigation workflows, reporting, and deployment best practices.
- Leverage understanding of customer operations to deliver meaningful security insights that explain risk context and next steps.
- Manage the DLP platform including agent rollout, policy setup, integrations, and system performance tracking.
- Diagnose and resolve technical problems with endpoint agents, browser extensions, and SaaS integrations.
- Collaborate with engineering teams to report bugs, share product feedback, and influence feature development based on client needs.
- Stay updated on platform enhancements, new features, and best practices to maximize customer value.
- Work with internal teams including Sales Engineering, Customer Success, and Product to ensure successful customer outcomes.
- Track emerging trends in insider threats, data exfiltration methods, and adversary tactics, techniques, and procedures (TTPs).
- Evaluate external DLP market shifts and competitive developments to guide customer recommendations.
- Support insider risk intelligence efforts by documenting new attack patterns, evasion tactics, and detection approaches.
- Generate executive reports with clear metrics, visualizations, and risk summaries.
- Monitor key performance indicators such as detection accuracy, false positive rates, mean time to detect and respond, policy coverage, and exposed data volume.
- Deliver business impact assessments showing how DLP initiatives prevent data loss, support compliance, and enable secure operations.
