Nightfall AI

Nightfall AI

Data Loss Prevention (DLP) Analyst

Palo Alto · Exec

Sponsorship not specifiedDetected 237 days ago
PythonBashPowerShellGitOAuthMachine LearningData AnalysisData VisualizationCybersecuritySIEMSOARUEBASOC OperationsDetection EngineeringIncident ResponseComplianceSalesforceIntellectual PropertyCustomer SuccessCustomer SupportHIPAAResearchCollaboration

About the role

  • As a DLP Analyst at Nightfall, you'll be at the forefront of protecting our customers' most sensitive data.
  • You'll become an expert on Nightfall's DLP platform, working directly with security teams to operationalize data loss prevention across their organizations.
  • This is a hands-on role that combines technical depth, investigative skills, and customer obsession to help enterprises detect, investigate, and prevent data exfiltration incidents while maintaining employee productivity.

Responsibilities

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

Requirements

  • 3-5 years of experience in information security, with at least 2 years focused on data loss prevention (DLP), insider threat, or data protection technologies
  • Hands-on experience with DLP tools (e.g., Forcepoint, Symantec, McAfee, Digital Guardian, Microsoft Purview, or other enterprise DLP solutions)

Skills

  • Experience with incident response processes, forensic investigation techniques, and security event escalation workflows
  • configuring policies, tuning detection rules, managing agents, generating reports, and performing incident investigations
  • Knowledge of compliance frameworks and regulations: GDPR, HIPAA, PCI-DSS, SOX, and their data protection requirements
  • 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
  • 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

Compensation

  • Employee compensation will be determined based on interview performance, level of experience, specialization of skills, and market rate.
  • During the offer discussion, your recruiter will review the finalized base salary, bonus (for applicable roles), benefits & perks, and stock options as they'll be reflected in the offer letter.

Benefits

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

Company info

  • You'll work closely with customers' security operations teams to monitor data movement, investigate alerts, tune detection policies, and provide strategic guidance on insider threat mitigation.
  • Conduct regular operational reviews with customers to share insights on data risk trends, policy effectiveness, and program maturity
  • Stay current on Nightfall platform updates, new capabilities, and best practices to maximize value for customers
  • Work with customers to develop custom detection policies for industry-specific sensitive data types and unique organizational requirements
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This listing is sourced directly from Nightfall AI's careers page and normalized into a canonical job model.