Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Mend

The Power of Platform-Native Consolidation in Application Security

The application security landscape is shifting as organizations move away from a fragmented ecosystem of point solutions towards a unified platform such as the Mend AppSec Platform. Leveraging these platform-specific strengths brings numerous advantages: streamlined workflows, a cross-product workflow engine, a consolidated data model that enhances security posture, and developers that can focus fully on innovation.

What is the KEV Catalog?

With external threats looming as a constant source of potential disruption, multiple government agencies have coordinated to compile a catalog of Known Exploited Vulnerabilities (KEV). The Known Exploited Vulnerabilities Catalog, or KEV catalog, is a database of actively exploited vulnerabilities, including those that have been exploited by ransomware campaigns, that can help application security professionals in the public and private sectors monitor threats and prioritize fixes.

Empowering Teams for Better Security: A Conversation with Jigar Shah - Secrets of AppSec Champions

Developing a Security Culture: In today's highly digital and interconnected world, cybersecurity isn't just an IT issue; it's everyone's responsibility. Creating a robust security culture within your organization involves integrating security awareness into your daily operations. Train your employees, provide adequate resources, and define clear roles and responsibilities for security champions and influencers.

Application Security - The Complete Guide

Application security is the combination of tools, practices, and policies that are used to protect the application layer of software from threat actors. Once something of an afterthought, application security is now widely and rightfully recognized as a vital part of the software development life cycle (SDLC). As the complexity of technology increases, considering application security early and often in the SDLC is imperative to keeping data and resources from falling into the wrong hands.

Introducing the Mend AppSec Platform

According to Dimension Market Research, the global Application Security Market size is projected to “reach USD $9.6 billion by 2024 and is further anticipated to reach USD $47.3 billion by 2033 at a CAGR of 19.4%.” However, companies confront extensive barriers when developing reliable application security programs.

Shifting From Reactivity to Proactivity in AppSec with Phil Guimond - Secrets of AppSec Champions

"In Episode 03 of the SAC | Secrets of AppSec Champions podcast titled ""Compromised: Proactive to Reactive,"" hosts Chris Lindsey and guest Phil Guimond tackle the critical distinctions between proactive and reactive security strategies. They emphasize the importance of access logging and visibility in detecting compromises early, pointing out how changes in access logs can signal potential threats. They stress the necessity of implementing secure, tamper-proof log storage and discuss automation solutions like the ""Have I Been Pwned"" API and CAPTCHA to mitigate risks such as account takeovers.

One AppSec Platform. One Price.

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ASPM and Modern Application Security

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!

Shining a Light on Shadow AI: What It Is and How to Find It

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.