Level

Cyberhaven

Data Protection Analyst

AI in this role

About the role
This is an ideal opportunity for a highly motivated individual to get in on the ground floor as we build out our Professional Services and Managed Services functions at Cyberhaven. The Data Protection Analyst holds a key position in providing continuous value for our customers and is responsible for advancing the mission of identifying potential insider threats and investigating endpoint forensic incidents. You will be responsible for performing technical analysis of data security incidents, finding and exposing risk in a customers environment as well as handling documentation and project management aspects of incident response. You will also perform analysis of events and incidents.


What you’ll do

  • Provide insight into DLP analytics and related issues.

  • Analyze Cyberhaven’s Data Detection and Response (DDR) platform event data to improve policies and incidents/alerts and bring focus to areas where data loss risk may exist.

  • Refine datasets and policies and manage them as customers’ data risk strategy matures and business needs evolve.

  • Prepare and present summaries and reports to internal team members.

  • Eliminate noise and false-positive information from analytic results to enhance detection accuracy.

  • Conduct forensic analysis on people, groups, and non sanctioned egress destinations as requested.

     

Who you are

  • 2–5 years with data protection or adjacent security tools (EDR, SIEM, SOAR) and 2+ years in Insider Threat/InfoSec.

  • Strong grasp of endpoint protection best practices and incident mitigation workflows.

  • Experience with DLP, Insider Threat, CASB and controls for handling sensitive data.

  • Comfortable across macOS, Linux, Windows and cloud platforms (AWS, GCP, Azure).

  • Data & automation: SQL for analysis; build/maintain dashboards; edit XML-based DLP rules; script and use APIs.

  • Excellent problem-solving and communication skills; collaborative on a global team; customer-centric with a passion for cloud security and emerging tech.

 

Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It.
Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe.

AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking.

Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

How we rate this

Data Protection Analyst at Cyberhaven rates 26 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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