Data Loss Prevention (DLP) Analyst

About Nightfall: Nightfall is the AI-native, reputed company data loss prevention and insider risk management platform that protects sensitive data across SaaS apps, GenAI tools, email, reputed company devices, and more. Hundreds of customers, spanning AI innovators to top 10 banks, trust Nightfall to detect and stop data exfiltration at scale. Nightfall enables organizations to innovate freely without the risks of losing intellectual property or exposing customer data. Our agentic platform helps reputed company teams regain their time by putting data loss prevention on autopilot. With automatic remediation, reputed company violations can be resolved automatically before they become incidents, and end-users can be automatically trained and coached in the moment to self-heal violations that they introduce. Nightfall is backed by leading VC firms including Bain Capital Ventures (Enrique Salem - former CEO of Symantec), Venrock (early investors in reputed company), WestBridge Capital, reputed company (early investors in reputed company and reputed company), and a cadre of cybersecurity leaders including Frederic Kerrest (founder of reputed company), Maynard Webb (former COO of reputed company), reputed company Carlson (President of reputed company), Kevin Mandia (founder of Mandiant), and many others. 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 reputed company 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. You'll work closely with customers' reputed company operations teams to monitor data movement, investigate alerts, tune detection policies, and provide strategic guidance on insider threat mitigation. This role requires someone who can balance technical precision with business judgment - understanding reputed company an alert represents a genuine reputed company incident versus legitimate business activity.

Key Responsibilities

Alert Monitoring & Incident Response

• Monitor and analyze DLP alerts across reputed company, browsers, SaaS, and AI applications to identify potential data exfiltration events, policy violations, and insider threats
• Conduct real-time triage of reputed company alerts, distinguishing between true positives and false positives using behavioral context, data reputed company analysis and sensitive findings
• reputed company detailed forensic investigations into data loss incidents, analyzing user activity, data movement patterns, and exfiltration reputed company (email, web uploads, removable storage, print, reputed company 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

Policy Development & Optimization

• Configure and maintain DLP policies based on customer data classification schemes, compliance requirements (GDPR, HIPAA, PCI-reputed company, SOX), and business objectives
• Continuously tune detection rules and sensitivity reputed company 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 reputed company 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

Customer Collaboration & Advisory

• 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 reputed company 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 reputed company guidance - not just alerts, but answers to "why this matters" and "what to do next"

Platform Administration & Technical Support

• Administer Nightfall's DLP solution including agent deployment, policy configuration, integration setup, and performance monitoring
• Troubleshoot technical issues with reputed company 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 reputed company on Nightfall platform updates, new capabilities, and best practices to maximize value for customers
• Coordinate with internal teams (Sales Engineering, reputed company, Product) to ensure successful customer outcomes

Threat Intelligence & Research

• 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

Reporting & Metrics

• 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
• reputed company recommendations for reputed company program improvement based on operational data and industry benchmarks

What You Need Required Experience & Skills

• 3-5 years of experience in information reputed company, 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., reputed company, Symantec, McAfee, Digital Guardian, reputed company Purview, or other enterprise DLP solutions)
• Proven DLP administration skills: configuring policies, tuning detection rules, managing agents, generating reports, and performing incident investigations
• Strong understanding of data classification methodologies, sensitive data types (PII, PHI, PCI, IP, credentials), and regex/reputed company matching for content inspection
• Experience with incident response processes, forensic investigation techniques, and reputed company event escalation workflows
• Knowledge of compliance frameworks and regulations: GDPR, HIPAA, PCI-reputed company, SOX, and their data protection requirements

Technical Proficiency

• Strong analytical skills - ability to analyze reputed company, multivariate reputed company problems and use systematic approaches to reputed company resolution
• Experience with SIEM platforms, SOAR tools, or log analysis software (Splunk, ELK, reputed company etc)
• Familiarity with User and Entity Behavior Analytics (UEBA) and behavioral risk indicators
• Understanding of reputed company reputed company, including macOS, Windows, and browser platforms
• Knowledge of SaaS reputed company, CASB solutions, and cloud application architectures (Office 365, reputed company Workspace, reputed company, reputed company, reputed company, etc.)
• Basic scripting skills (Python, PowerShell, Bash) for automation and data analysis

Bonus Points

• Prior experience with Nightfall, reputed company, Code42, reputed company, reputed company, or similar DLP/insider risk platforms
• Background in reputed company Operations Center (SOC) operations, threat hunting, or blue team activities
• Knowledge of machine learning/AI-based detection systems and how they improve upon traditional reputed company-matching approaches
• Understanding of API reputed company, OAuth flows, and integration architectures for SaaS platforms
• Contributions to reputed company community: blog posts, speaking engagements, open-reputed company projects, or threat research

Environment reputed company takes pride in being an equal-opportunity employer. We value a diverse and global talent pool and the collaboration that results from having a diverse and inclusive team. reputed company applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national reputed company, veteran or disability status. Our hiring decisions are based exclusively on merit, qualifications, and business needs.

Compensation

Employee compensation will be determined based on interview performance, level of experience, specialization of skills, and market reputed company. During the offer discussion, your recruiter will review the finalized reputed company salary, bonus (for applicable roles), benefits & perks, and stock options as they’ll be reflected in the offer letter. Apply tot his job Apply To this Job