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Cyberhaven

AI-driven data lineage for insider risk

Data Protection Analyst

Security Operations & Incident ResponseConfirmed live in the last 24 hours
Full-timeRemote in MexicoNo salary listedRemote

About the Job

Requirements

  • At least 3 years of experience working with data protection products, including knowledge of endpoint protection best practices and incident mitigation workflows.
  • Experience advising on security issues affecting data protection and insider risk, both accidental and malicious.
  • Expertise with data loss prevention, insider threat, and cloud access security broker solutions; familiarity with security information and event management and security orchestration, automation, and response integrations.
  • Strong understanding of macOS, Linux, and Windows environments.
  • Knowledge of security controls for handling sensitive data types.
  • Experience performing technical analysis and managing documentation and project-management aspects of incident response for data security issues.
  • Familiarity with cloud apps and services.
  • Ability to create management-level presentations and analysis on incident investigations.
  • Effective collaboration in a global, cross-functional team.

Responsibilities

  • Serve as a subject matter expert on data protection security issues, understand external data loss prevention market trends, and incorporate these insights to illustrate realized value for customers.
  • Analyze Data Detection and Response platform event data to improve policies and incidents or alerts and focus attention on areas where data-loss risk may exist.
  • Partner with clients to develop incident-response workflows that map to their security objectives and policies.
  • Refine datasets and policies and manage them as customers’ data-risk strategies mature and business needs evolve.
  • Identify trends and drive requirements aimed at improving and enhancing existing data-detection and response policies.
  • Prepare and present formal summaries to technical and non-technical audiences.
  • Collaborate with Product and Development to develop and implement strategies for monitoring and preventing data loss.
  • Eliminate noise and false-positive information from analytic results.
  • Provide forensic analysis on people, groups, and non-sanctioned egress destinations as requested by clients.

About the Company

Cyberhaven

AI-driven data lineage for insider risk

Cyberhaven protects businesses from insider threats to data using AI-enabled security that tracks how data flows inside an organization. It relies on data lineage to map where data originates, where it is stored, and how it moves, so it can prevent data exfiltration anywhere in the company. The product also speeds up internal investigations by providing a complete record of events before and during an incident, helping teams understand what happened and user intent. A key feature is real-time detection of risky behavior where the system can stop a user handling important data in the moment and offer coaching to reduce future risk. The platform combines data loss prevention, insider risk management, and cloud data security in a single experience, typically offered via a subscription model. The goal is to protect sensitive data, prevent unauthorized transfers, enable faster incident understanding, and improve ongoing data security across an organization.

Company size
201-500
Company stage
Series D
Total funding
$236M
Headquarters
San Jose, CA
Founded
2015

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