Aqua Cloud Native Blog › Tags: AI Security

If your AI workloads run in containers, then securing those containers is the first and most important step in protecting your AI. And as enterprises begin to deploy containerized AI workloads on Red Hat OpenShift for mainframe environments, that priority becomes even more urgent.

The moment your app calls an LLM, it stops being just containerized software, and becomes an entirely new attack surface. Artificial Intelligence is transforming how applications behave and how they need to be secured. As generative AI and large language models (LLMs) become embedded into everything from customer support bots to internal data tools, security …

In the rapidly evolving world of artificial intelligence, the rise of Generative AI (GenAI) has sparked a revolution in how we interact with and leverage this technology. GenAI is based on large language models (LLMs) that have demonstrated remarkable capabilities, from generating human-like text to powering conversational interfaces and automating complex tasks. 

The urgent need for rapid remediation The window of vulnerability after the discovery of a security issue has never been more critical than it is with cloud native applications. Why is that? Cloud apps move fast. With modern CI/CD processes, code can be pushed to production multiple times per day. This means that security gaps …