Today, we’re pleased to announce that we’re being acquired by cybersecurity leader CrowdStrike to amplify and extend their cloud security capabilities to the application layer. Together, CrowdStrike and Bionic will help customers manage security and business risk that comes with two of the greatest challenges in technology: ephemeral, cloud-native services and highly dynamic, rapidly changing applications in production.

AI and machine learning (ML) have hit the mainstream as the tools people use everyday – from making restaurant reservations to shopping online – are all powered by machine learning. In fact, according to Morgan Stanley, 56% of CIOs say that recent innovations in AI are having a direct impact on investment priorities. It’s no surprise, then, that the ML Engineer role is one of the fastest growing jobs.

Michael Tayo is an Assistant Vice President and Principal Information Security Engineer at U.S. Bank where he is responsible for providing visionary guidance for the enhancement of cloud and application security product offerings.

In this article, we’ll describe how a global leader in customer engagement and employee management let Bionic show them how fast they can achieve total visibility into one of their most complex applications. The company has thousands of employees around the world who support dozens of products. As a publicly traded company, it is critical for them to protect sensitive data for their customers, who include some of the biggest companies in the world.

Injection attacks are malicious code inside an input that causes unintended software behavior. Log4Shell, the most lethal zero-day vulnerability of 2022, is an injection attack. One easy way to visualize this idea is to imagine a normal input as , and an injection attack as an put>. It’s simply hidden inside. The rest of this blog will teach you how to mitigate common injection attacks by bad actors.