5 Recommendations for Using AI Without Compromising Data
Zscaler shares insights to help businesses implement artificial intelligence securely.
As the presence of artificial intelligence (AI) tools grows, so do concerns about data security.
Against this backdrop, Zscaler shares five tips for using AI while keeping data safe. The first of these is to ‘implement data protection policies’, with clear guidelines to prevent leaks. The idea is that only authorised users and verified devices should have access.
The privacy and security of artificial intelligence applications must also be ‘assessed’, because not all have the same level of protection. It is necessary to understand how they work before activating them.
Thirdly, Zscaler recommends ‘constant monitoring and analysis’ of the use of this technology. This means analysing traffic and interactions with the tools for suspicious behaviour.
‘Paying attention to the quality of the data’ processed by the applications is another key point. This is the only way to avoid erroneous results when training new intelligent solutions.
Finally, it is important to ‘prepare against AI-powered threats’. Cybercriminals also rely on artificial intelligence to carry out their attacks, including phishing campaigns, and organisations need to be aware of this to combat their breach attempts.
