Category: cloud security

Artificial Intelligence

AI in Healthcare Security

HUB Security’s hardware solution allows a safe environment for machine learning and artificial intelligence processes to take place, while any concern for unwanted visibility between different models. By using Confidential Computing methods we allow for effective collaborative machine learning to take place, thus enabling previously unattainable ventures, in a secure environment.

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Dr.Wendy Ng
cloud security

Zero Trust: Speaker Spotlight with Wendy Ng

This week we had the pleasure to interview Dr. Wendy Ng, Cloud Security Architect Lead at OneWeb and discuss zero trust, software vulnerabilities and security practices. Dr. Wendy Ng will be a speaker on our next ‘Zero-Trust Security Approach’ online Summit this week.

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Security threats facing AI and ML
Artificial Intelligence

Top 5 Security Threats Facing Artificial Intelligence and Machine Learning

An emerging space within AI is the need to share and access more big data from semi trusting parties in order to achieve better models and insights. A good example is multiple healthcare providers sharing images and their interpretation in order to create an AI model to detect anomalies on its own. The more images the better algorithm. This scenario requires the model to access data from all healthcare providers, but assure that images cannot be accessed by each individual healthcare provider to another.

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