Securing Tomorrow: Exploring Generative AI, Microsoft's Innovations, and the Evolving Landscape of Cybersecurity Challenges

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Here are some of the latest and most interesting risk and security management articles we’ve included this week:

Enterprises weigh open source generative AI risks, benefits [TechTarget] Generative AI is a hot topic at EmTech MIT, where experts discussed its applications and challenges in the enterprise. Some benefits of using open-source generative AI models are lower costs and higher customization, but they also pose risks such as security, ethics, and quality. Enterprises need to weigh the pros and cons of open source vs. proprietary generative AI carefully.

Microsoft unveils expansion of AI for security and security for AI at Microsoft Ignite [Microsoft] Cybersecurity is a huge challenge that requires a new approach. Microsoft Security offers a generative AI solution—Microsoft Security Copilot—that leverages massive data, end-to-end security, and Zero Trust principles to protect against cyberattacks. Watch the Microsoft Ignite keynote “The Future of Security with AI” to learn more.

AI Solutions Are the New Shadow IT [Hacker News] Employees are using AI tools without IT and cybersecurity approval, which can increase productivity but also increase data leakage risks. Indie AI apps, which are popular and numerous, have lower security and compliance standards than enterprise AI. AI tools can access and expose the prompts employees enter, especially generative AI using large language models.

Using Generative AI for Surveillance [Schneier] Schneier warns that generative AI will be used to spy on people and collect their personal information. He suggests that people can protect themselves by using encryption and hand ciphers that are not on their devices.

The Vital Role Of Partnerships In Scaling Artificial Intelligence [Bernard Marr] AI is a powerful tool for business, but many organizations struggle to use it well. A good solution is to partner with other businesses or organizations that have the skills or infrastructure you need. This is especially important for SMEs, which make up most of the global business activity and can benefit from AI's huge potential. However, there are still challenges regarding skills, data, and culture that need to be overcome.

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