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...
trust engineering Articles
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- Topics:
- scale,
- Security,
- trust engineering,
- Data
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LinkedIn’s Help Center boasts a personalized experience aimed at getting our members the help they need, finding the answers to their questions, and empowering them to be more productive and successful. Despite having a wealth of customized content, members are still faced with a problem when they need help: they must stop what they’re doing and go to the Help...
- Topics:
- trust engineering,
- Search,
- Product Design,
- Ember
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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...
- Topics:
- machine learning,
- Security,
- trust engineering