. . Application security is necessary – our platform makes it effortless Mend.io's proactive platform finds and fixes vulnerabilities before they hit your codebase with a new unified AppSec platform.
Gartner’s 2024 Hype Cycle for Application Security is making the rounds, and Application Security Posture Management (ASPM) continues to climb up and around the famous curve, from the Peak of Inflated Expectations in 2023 to this year’s slide towards the Trough of Disillusionment. That’s pretty fast movement for a technology that we haven’t yet succeeded in clearly defining!
After speaking to a wide spectrum of customers ranging from SMBs to enterprises, three things have become clear: Add that together, and we get Shadow AI. This refers to AI usage that is not known or visible to an organization’s IT and security teams. Shadow AI comes in many forms, but in this blog we’ll stick to a discussion of Shadow AI as it pertains to applications. Application security teams are well aware that AI models come with additional risk.
Integrate your Mend.io Container scans with runtime reachability details! Mend.io has teamed up with Sysdig to help you priorities your container findings (don't forget reachability too!). In this sub 5 minute video, Luke will demonstrate how you can link Sysdig to your Mend Platform container findings.
Join host Chris Lindsey as he digs into the world of Application Security with experts from leading enterprises. Each episode is theme based, so it's more conversational and topic based instead of the general interview style. Our focus is growing your knowledge, providing useful tips and advice. With Chris' development background of 35 years, 15+ years of secure coding and 3+ years running an application security program for large enterprise, the conversations will be deep and provide a lot of good takeaway's that you can use almost immediately.
I’m back from another Black Hat! It was great seeing everyone. I put out a message on LinkedIn for people to come find me and, boy, did they. The hallway conversations were so engaging, I was sometimes late getting to the official talks, but I’m getting ahead of myself. AI was everywhere, as we’d expect, but I also sat down to listen to experts on other topics like critical infrastructure, cyber insurance, and the root causes of cybersecurity failure.
This is a public service announcement: The not-so-simple act of securing applications produces a lot of documentation, including playbooks and policies, that isn’t typically needed on a daily basis. But when a zero-day event occurs, such as the recent Crowdstrike incident, application security teams better be able to find everything they need—and fast. Sadly, in both big and small companies, missing and outdated documentation is rampant.
Join host Chris Lindsey as he digs into the world of Application Security with experts from leading enterprises. Each episode is theme based, so it's more conversational and topic based instead of the general interview style. Our focus is growing your knowledge, providing useful tips and advice. With Chris' development background of 35 years, 15+ years of secure coding and 3+ years running an application security program for large enterprise, the conversations will be deep and provide a lot of good takeaway's that you can use almost immediately.
Large language models are fascinating tools for cybersecurity. They can analyze large quantities of text and are excellent for data extraction. One application is researching and analyzing vulnerability data, specifically Common Vulnerabilities and Exposures (CVE) information. As an application security company with roots in open source software vulnerability detection and remediation, the research team at Mend.io found this a particularly relevant area of exploration.
Open source software (OSS) is software for which the original authors have granted express copyright and usage permissions to allow all users to access, view, and modify the source code of these programs however they see fit and without the need to pay royalties. This is in contrast to proprietary, closed source software, which typically requires a paid license and cannot be added to, modified, or distributed by anyone except the owner of the rights to the software.