Detection Engineer, Insider Risk
San Jose, California, United States
The mission of TikTok's Global Security Organization is to build and earn trust by reducing risk and securing our businesses and products. Also known as "GSO", this team is the foundation of our efforts to keep TikTok safe, secure, and operating at scale for over 1 billion people around the world. We work to ensure that the TikTok platform is safe and secure, that our users' experience and their data remains safe from external or internal threats, and that we comply with global regulations wherever TikTok operates.
Trust is one of TikTok's biggest initiatives, and security is integral to our success. In whatever ways users interact with us — whether they're watching videos on their For You page, interacting with a Live video, or buying products on TikTok Shop — GSO protects their data and privacy, so they can have a secure and trustworthy experience.
As part of the Threat and Incident Management team, you will support TikTok's inside threat operation. You will utilize analytical methods to understand insider risk patterns and establish models for forecasting insider risk scenarios. The candidate will also collaborate with stakeholders from data engineers to executives, prioritizing data sources for onboarding into risk models and gathering requirements for dashboards to provide a holistic view on operations.
Responsibilities
- Act as a force multiplier across the business by optimizing processes and gaining alignment across stakeholders.
- Assist in analyzing large and complex datasets to uncover anomalous behavior and potential threats.
- Triage and investigate alerts from tools such as SIEM, DLP, UEBA, and EDR, escalating when appropriate.
- Support real-time response efforts by participating in incident handling, root cause analysis, and documentation.
- Collaborate with other detection engineers and system owners to refine and test detection logic, reduce false positives, improve log coverage, and improve detection precision.
- Maintain and support compliant data flows and automation access to allow for interoperability across various business regions.
- Document detection logic, investigations, and workflow improvements clearly and concisely.
- Identify opportunities to automate repetitive tasks and support initiatives involving scripting, code, or ML-based improvements.
- Work with cross functional teams globally to ensure alignment, collect feedback on automations, and deploy solutions to get cross functional adoption.
Trust is one of TikTok's biggest initiatives, and security is integral to our success. In whatever ways users interact with us — whether they're watching videos on their For You page, interacting with a Live video, or buying products on TikTok Shop — GSO protects their data and privacy, so they can have a secure and trustworthy experience.
As part of the Threat and Incident Management team, you will support TikTok's inside threat operation. You will utilize analytical methods to understand insider risk patterns and establish models for forecasting insider risk scenarios. The candidate will also collaborate with stakeholders from data engineers to executives, prioritizing data sources for onboarding into risk models and gathering requirements for dashboards to provide a holistic view on operations.
Responsibilities
- Act as a force multiplier across the business by optimizing processes and gaining alignment across stakeholders.
- Assist in analyzing large and complex datasets to uncover anomalous behavior and potential threats.
- Triage and investigate alerts from tools such as SIEM, DLP, UEBA, and EDR, escalating when appropriate.
- Support real-time response efforts by participating in incident handling, root cause analysis, and documentation.
- Collaborate with other detection engineers and system owners to refine and test detection logic, reduce false positives, improve log coverage, and improve detection precision.
- Maintain and support compliant data flows and automation access to allow for interoperability across various business regions.
- Document detection logic, investigations, and workflow improvements clearly and concisely.
- Identify opportunities to automate repetitive tasks and support initiatives involving scripting, code, or ML-based improvements.
- Work with cross functional teams globally to ensure alignment, collect feedback on automations, and deploy solutions to get cross functional adoption.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Engineering Jobs
Tags: Machine Learning Privacy Security
Region:
North America
Country:
United States
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