LinkedIn members entrust us with their personal data and we are committed to working hard every day to maintain that trust within a safe, professional environment. One crucial aspect to earn and maintain that trust lies in how well we secure our online systems and protect our data from unauthorized exposure. LinkedIn runs a microservice architecture, in which...
Security Articles
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- Topics:
- scale,
- Security,
- trust engineering,
- Data
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LinkedIn is committed to building a safe, trusted, and professional environment. Building the infrastructure to detect and mitigate abuse at LinkedIn’s scale brings with it a number of interesting challenges that require us to often think outside the box and craft new ways of integrating defenses throughout our product. In this post, we’ll provide a high-level...
- Topics:
- Security,
- trust engineering
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To maintain a safe and trusted professional community on LinkedIn, we require that every LinkedIn profile must uniquely represent a real person. One of the ways we ensure that accounts are real is by building automated detection systems at scale for detecting and taking action against fake accounts. The Anti-Abuse team at LinkedIn creates the systems that allow...
- Topics:
- machine learning,
- Security,
- trust engineering
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Co-authors: Pavi Ramamurthy and Angel Liu Three years ago, LinkedIn was looking to boost its internal security initiatives and...
- Topics:
- Security
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Companies have been warning their employees about phishing and trying to train them to detect these attacks for the past decade. But...
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Editor’s note: Members of the information security team at LinkedIn have an opportunity to work on research topics under a...
- Topics:
- Open Source,
- Security