Generative Artificial Intelligence (AI) has revolutionized various fields, from creative arts to content generation. However, as this technology becomes more prevalent, it raises important considerations regarding data privacy and confidentiality. In this blog post, we will delve into the implications of Generative AI on data privacy and explore the role of Data Leak Prevention (DLP) solutions in mitigating potential risks.
Companies are increasingly concerned about the security of applications built on open source components, especially when they’re involved in mergers and acquisitions. Just like copyright for works of art, each piece of open source software has a license that states legally binding conditions for its use.
There’s no denying it, public cloud is here to stay and there’s a pretty good chance that your company is running some workloads on Amazon Web Services.
The Biden Administration’s recent moves to promote “responsible innovation” in artificial intelligence may not fully satiate the appetites of AI enthusiasts or defuse the fears of AI skeptics. But the moves do appear to at least start to form a long-awaited framework for the ongoing development of one of the more controversial technologies impacting people’s daily lives. The May 4 announcement included three pieces of news.
I’d position the following scenario to you as hypothetical but the reality of it is we have all been there at one time or another. Either as the result of a rogue script, a complete accident, or even malicious behavior, many are familiar with that sinking feeling when you noticed certain Azure Active Directory (Azure AD) objects have been deleted. Whether it be Users, Groups, Enterprise Apps, or Application Registrations, businesses rely on these Azure AD objects.