Clean.io is a digital engagement security platform that helps businesses retain revenue and build stronger customer relationships by controlling the third-party code that executes on their websites. Backed by Real Ventures.
About the role
• Investigate suspicious traffic and identify potential attacks, false positives, and missed detections.. • Validate product integration and assess whether detection behavior is working as expected.. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 3 years experience as a cyber security or detection analyst / fraud analyst / data or business analyst in a SaaS company
- Experienced working with large datasets using SQL (Snowflake / BigQuery) and other analysis and visualization tools (Tableau), log analysis tools (ElasticSearch)
- Must be domiciled within the Eastern Time Zone (ET) to support alignment with team and business operating hours
- Curious, analytical mindset, able to drill down into an investigation and also understand the bigger picture
- Motivated to get to the bottom of a problem, understand not only what happened but why it happened, and help resolve it
- Interested in cybersecurity, fraud prevention, threat analysis, or how automated attacks operate
More about this role
The Detection Health and Performance team helps customers maintain effective detection as attacker behavior evolves, by investigating suspicious traffic and identifying missed attacks, reducing false positives, building and evaluating detection logic and improving customers' detection health during onboarding and throughout customer's life cycle.
In this role, you’ll combine data analysis, technical troubleshooting, and customer-focused communication to understand technical and detection gaps, and share helpful threat insights and recommendations. As part of the role you will work in collaboration with Technical Account Managers, Solutions Engineers, Operations, Research and Engineering teams, helping to maintaining strong security outcomes while protecting legitimate users.
• Investigate suspicious traffic and identify potential attacks, false positives, and missed detections..
• Design and test new detection logics for customers. .
• Validate product integration and assess whether detection behavior is working as expected..
• Recommend safe detection actions, monitor their impact, and adjust them as traffic and attacker behavior evolve..
• Work with R&D, Solution Engineers, and...
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