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Engineering · SecurityPII masking for privacy-grade machine learning
Data engineers at Grab work with large sets of data to build and train advanced machine learning models to continuously improve our user experience. However, as with any data-handling company, dealing with users' data may present a potential privacy risk as it contains Personally Identifiable Information (PII). Read this article to find out more about Grab’s mature privacy protective measures and how our data streaming team uses PII tagging and masking on data streaming pipelines to protect our users.
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Engineering · SecurityMigrating from Role to Attribute-based Access Control
To ensure our consumers continue to be well-protected, we need to ensure our data access measures are compliant with evolving security standards. With more services and resources to manage, it becomes increasingly difficult to maintain a frictionless process. Read to find out how we solve this by migrating from role to attribute-based access control.
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Engineering · Security · Data ScienceGraph service platform
Graphs are powerful data representations that detect relationships and data linkages between devices and help reveal fraudulent or malicious users. Learn how GrabDefence built the graph service platform to help discover potentially malicious data linkages.
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Engineering · SecurityZero trust with Kafka
In addition to ensuring the high performance and availability of our services, security continues to be one of our highest priorities. Read this article to find out how the Coban team enhances security by moving from network-based access control to zero trust with Kafka.
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Engineering · Data Science · SecurityGraph for fraud detection
Fraud detection has become increasingly important in a fast growing business as new fraud patterns arise when a business product is introduced. We need a sustainable framework to combat different types of fraud and prevent fraud from happening. Read and find out how we use graph-based models to protect our business from various known and unknown fraud risks.
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Engineering · Data Science · SecurityUsing mobile sensor data to encourage safer driving
Telematics is most commonly used to monitor vehicle movements and track driving safety, profiling, fleet optimisation and possible productivity improvements. Read this to find out more about how Grab uses telematics to encourage safer driving across our driver and delivery partner fleet.
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Engineering · Security · Data ScienceGraph Networks - 10X investigation with Graph Visualisations
As fraud schemes get more complex, we need to stay one step ahead by improving fraud investigation methods. Read to find out more about graph visualisation, why we need it and how it helps with uncovering patterns and relationships.
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Engineering · Security · Data ScienceHow facial recognition technology keeps you safe
Facial recognition technology has grown tremendously in recent years due to the rise of deep learning techniques and accelerated digital transformation. Read to find out more about facial recognition technology in Grab and the components that help keep you safe.
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Engineering · SecurityGraph concepts and applications
Graph theory-based approaches show the concepts underlying the behaviour of massively complex systems and networks. Read to find out how graphs came about, where they can be used and the part they play in graph technology.
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Engineering · SecurityGraph Networks - Striking fraud syndicates in the dark
As fraudulent entities evolve and get smarter, Grab needs to continuously enhance our defences to protect our consumers. Read to find out how Graph Networks help the Integrity team advance fraud detection at Grab.
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SecurityBiometric authentication - Why do we need it?
As cyberattacks get more advanced, authentication methods like one-time passwords (OTPs) and personal identification numbers (PINs) are no longer enough to protect your users. Find out how biometric authentication can help enhance security.
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SecurityReflecting on the Five Years of Bug Bounty at Grab
Read about how the product security team's bug bounty programme has helped keep Grab secure.
