TheArtificial intelligenceIt is here to stay, but it is important to understand and take care of the data that is shar, as well as the implications of its use in order to take advantage of it without exposing the company, Forcepoint warn.
Forcepoint can help companies use theArtificial intelligencegeneratively in a secure manner , through its Forcepoint One solutions , DLP, and Forcepoint Classifications , the data classifier.
These solutions that are available for
sale through the channel have their own technology.Artificial intelligence.
While Forcepoint One is a SASE platform that resides in the AWS cloud , the DLP tool is on-premise, or will be until December when its cloud version is releas.
Additionally, the Forcepoint classifier uses technology fromMachine Learningfor proper data protection.
Forcepoint ONE | Simplify Security
Returning to generative AI , Giovanna Shimabukuro, Forcepoint Channel Presales Engineer, explain that theArtificial intelligenceis the ability of a machine or software to execute a human task ;Artificial intelligencegenerative is a subcategory responsible for generating content autonomously.
The most common examples are GPT Chat , Copilot and Bard , which generate texts in a coherent manner bas on the information that the user shares, and this is where the danger comes in: the hong kong whatsapp number data company must regulate what data employees are sharing, whether for productive or merely malicious purposes, as these may be strategic, from clients or suppliers.
Sometimes, the information dump into GPT Chat and Bard is sensitive data, and users share it without taking into account data protection laws or GDPR , much less the problems they put the organization in.
Companies must therefore be careful
about what data employees share on these platforms.
From Forcepoint’s perspective , it marketing training from logo to rebranding is impossible to limit the use of tools such as generative AI platforms, because they have also been proven to be helpful in some cases.
However, it proposes monitoring, filtering, and denying its use when sensitive personal, financial, and cg leads health data, as well as 1,600 other topics that the security manufacturer has identifi and that could represent a problem, are shar.