ChatGPT is proving to be something of a double-edged sword when it comes to cybersecurity. Threat actors employ it to craft realistic phishing emails more quickly, while white hats use large language models (LLMs) like ChatGPT to help gather intelligence, sift through logs, and more. The trouble is it takes significant know-how for a security team to use ChatGPT to good effect, while it takes just a few semi-knowledgeable hackers to craft ever more realistic phishing emails.

Cloud environments comprise hundreds of thousands of individual components, from infrastructure-level containers and hosts to access-level user and cloud accounts. With this level of complexity, continuous and end-to-end visibility into your environment is vital for detecting, prioritizing, and fixing vulnerabilities before attackers can take advantage of them.

In today’s complex cloud environments, security and engineering teams need to manage vulnerabilities and misconfigurations across multiple layers of the stack, including cloud resources, clusters, containers, and applications. Often, this results in a lengthy list of problems that lacks prioritization and is daunting for users to address.