Data Loss Prevention (DLP) Analyst

Monitor and analyze DLP alerts across endpoint, browsers, SaaS, and AI applications to identify potential data exfiltration events, policy violations, and insider threats

Conduct real-time triage of security alerts, distinguishing between true positives and false positives using behavioral context, data lineage analysis and sensitive findings

Perform detailed forensic investigations into data loss incidents, analyzing user activity, data movement patterns, and exfiltration vectors (email, web uploads, removable storage, print, source code exfiltration, desktop apps, GenAI apps etc.)

Understand and follow incident response processes and escalation procedures, coordinating with customer incident response teams on high-severity cases

Document investigation findings, evidence trails, and remediation recommendations with clear, actionable reports

Configure and maintain DLP policies based on customer data classification schemes, compliance requirements (GDPR, HIPAA, PCI-DSS, SOX), and business objectives

Continuously tune detection rules and sensitivity thresholds to reduce false positives while maintaining high detection accuracy

Identify patterns in alert data to recommend new use cases, detection methods, and policy improvements

Work with customers to develop custom detection policies for industry-specific sensitive data types and unique organizational requirements

Establish baselines for normal user behavior by role, department, and geography to improve anomaly detection

Serve as a trusted technical advisor and subject matter expert on data protection, DLP best practices, and insider threat management

Conduct regular operational reviews with customers to share insights on data risk trends, policy effectiveness, and program maturity

Educate customer security teams on using Nightfall's platform effectively, including investigation workflows, reporting capabilities, onboarding and deployment best practices

Understand customer business context to deliver relevant, actionable security guidance - not just alerts, but answers to "why this matters" and "what to do next"

Administer Nightfall's DLP solution including agent deployment, policy configuration, integration setup, and performance monitoring

Troubleshoot technical issues with endpoint agents, browser extensions, SaaS integrations

Work with Nightfall engineering teams to report bugs, provide product feedback, and contribute to feature development based on customer needs

Stay current on Nightfall platform updates, new capabilities, and best practices to maximize value for customers

Coordinate with internal teams (Sales Engineering, Customer Success, Product) to ensure successful customer outcomes

Stay informed about emerging insider threat trends, data exfiltration techniques, and adversary tactics, techniques, and procedures (TTPs)

Analyze external DLP market developments and competitive intelligence to inform customer guidance

Contribute to Nightfall's insider risk intelligence by documenting novel attack patterns, evasion techniques, and detection methods

Compile and deliver executive-level reports with clear metrics, data visualizations, and risk assessments

Track key performance indicators: detection accuracy, false positive rates, mean time to detect/respond, policy coverage, data at risk

Provide business impact analysis showing how DLP program prevents data loss, supports compliance, and enables secure business operations

Develop recommendations for continuous program improvement based on operational data and industry benchmarks

Strong analytical skills - ability to analyze complex, multivariate security problems and use systematic approaches to reach resolution

Experience with SIEM platforms, SOAR tools, or log analysis software (Splunk, ELK, Tines etc)

Familiarity with User and Entity Behavior Analytics (UEBA) and behavioral risk indicators

Understanding of endpoint security, including macOS, Windows, and browser platforms

Knowledge of SaaS security, CASB solutions, and cloud application architectures (Office 365, Google Workspace, Slack, GitHub, Salesforce, etc.)

Basic scripting skills (Python, PowerShell, Bash) for automation and data analysis

Prior experience with Nightfall, Cyberhaven, Code42, DTEX, Proofpoint, or similar DLP/insider risk platforms

Background in Security Operations Center (SOC) operations, threat hunting, or blue team activities

Knowledge of machine learning/AI-based detection systems and how they improve upon traditional pattern-matching approaches

Understanding of API security, OAuth flows, and integration architectures for SaaS platforms

Contributions to security community: blog posts, speaking engagements, open-source projects, or threat research