Safeguarding Machine Learning with Cyber Security!
Machine learning (ML) has become a game-changer in many industries in today’s digital world, paving the way for intelligent automation, predictive analytics, and improved decision-making. But with increasingly sophisticated ML models come increasingly lucrative targets for cyber threats. This importance of cyber security for machine learning systems Training – The data that is used to train the machine learning models should be secure and protected, as it forms the foundation of the model's learning. 3 Ways to Navigate the Security Risks Behind Machine Learning If you work on machine learning models, you may know that they require huge data to train and work. As you already realize, this dependency on the data comes with several cyber security risks such as: Adversarial Attacks : Hackers can modify input data in order to trick an ML model into making incorrect predictions or decisions. Data Poisoning: In this attack, attackers inject fake data into the training datasets which rust...