A recent news article from Bleeping Computer called out an incident involving Japanese game developer Ateam, in which a misconfiguration in Google Drive led to the potential exposure of sensitive information for nearly one million individuals over a period of six years and eight months. Such incidents highlight the critical importance of securing cloud services to prevent data breaches.
AI and cybersecurity are top strategic priorities for companies at every scale — from the teams using the tools to increase efficiency all the way up to board leaders who are investing in AI capabilities.
One of the top security concerns we hear from technology leaders is about the security of open source software (OSS) and cloud software development. An open source vulnerability scanner (for scanning OSS) helps you discover risk in the third-party code you use. However, just because a solution scans open source does not mean you are ultimately reducing security risk with it.
The challenge of telling humans and bots apart is almost as old as the web itself. From online ticket vendors to dating apps, to ecommerce and finance — there are many legitimate reasons why you'd want to know if it's a person or a machine knocking on the front door of your website. Unfortunately, the tools for the web have traditionally been clunky and sometimes involved a bad user experience.
