Balancing Innovation and Security with Public AI and Robotics Integration

Over the last ten years, cloud computing has changed how companies do business by opening up opportunities for collecting, storing, and processing vast amounts of data. Today, businesses can leverage as-a-Service (aaS) subscription pricing models to grow their data storage and compute capacities instead of purchasing expensive server hardware. These flexible, scalable resources mean that companies of all sizes can access various computing services over the internet, including databases, servers, software, and data analytics.

As organizations embrace big data and analytics, they find themselves wanting more — more efficiencies, insights, and cost reductions. In this data-driven corporate environment, the near meteoric rise of public generative artificial intelligence (AI) models across daily business conversations makes sense. Since OpenAI launched its ChatGPT technology in November 2022, companies have incorporated it into their workflows across all business areas. From marketing to IT, this generative AI technology has taken the corporate world by storm because it can enhance productivity and increase customer satisfaction.

However, as with all new technologies, public generative AI introduces new data and security risks.

Download this whitepaper to understand the risks of integrating public generative AI models into your business and how to implement the correct mitigation strategies.