Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

July 2024

Preventing Data Breaches in User-Developed AI Applications on Low-Code Platforms

As more and more companies adopt low-code platforms and launch AI applications, the need for proper data security has never been greater. While it’s true that low-code platforms give users the freedom to develop powerful AI solutions with minimal programming knowledge or experience, this same level of flexibility also inadvertently exposes applications to potential data breaches.

Utilizing Zenity's Security Suite to Detect and Mitigate AI Vulnerabilities in Real-Time

AI has completely changed how we live, work and play. With its unparalleled efficiency, ongoing learning abilities and its detailed precision, it makes short work out of what used to be more complex and cumbersome tasks. Although AI systems are incredibly powerful and only growing in capacity and scale, they’re not without their challenges. Like other types of programs and infrastructures, AI is not immune to vulnerabilities and security issues.

Securing AI-Enhanced Applications: Zenity's Role in Low-Code/No-Code Development

The rapid rise of low-code and no-code platforms has democratized application development, enabling even non-technical business users to swiftly create critical business applications. However, this accessibility brings new security challenges, particularly with the integration of AI technologies such as copilots, which are used to automate tasks and enhance functionality within these platforms. Zenity enhances the security of these AI-integrated environments by managing and securing AI copilots.