Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

We recently released the State of DevSecOps study, in which we analyzed tens of thousands of applications and cloud environments to assess adoption of best practices that are at the core of DevSecOps today. In particular, we found that: In this post, we provide key recommendations based on these findings, and we explain how you can leverage Datadog Application Security Management (ASM) and Cloud Security Management (CSM) to improve your security posture.

You know your latest web application is inherently vulnerable to all kinds of attacks. You also know app security can never be perfect, but you can make it better tomorrow than it was yesterday. The problem is that whether you’re using enterprise-grade (aka, expensive and complex) security tools, or have cobbled together a handful of open-source projects into a CI/CD pipeline or Git commit hooks and are hoping for the best, your toolkit can’t help you see.

Years of accumulated security debt due to unaddressed software vulnerabilities and inadequate security configurations plague the applications that support our government functions. The age and size of applications play a significant role in the accumulation of security debt. The State of Software Security 2024 report provides a detailed analysis of how these factors correlate with security vulnerabilities, particularly in older and larger applications.

In a world with frequent technological changes, maintaining the trustworthiness and protection of your data and systems should be of paramount importance. With technology constantly evolving for the better, dangers and susceptibility could also make your online security more extraordinary. This is where the issues of network security and application security appear, which may be referred to as two complementary subtopics.

In the swiftly evolving landscape of AI-driven software development, DevSecOps helps strengthen application security and quality. Dynamic Application Security Testing (DAST) is a key tool that helps scale your DevSecOps program by facilitating continuous and accurate security tests on running applications. DAST simulates real-world attacks, enabling you to identify security weaknesses and evaluate your application's defenses in response to actual attacks.

Something about the springtime sunshine and blooming flowers inspires many of us to start cleaning. For some, it might be tackling the backyard shed that accumulated cobwebs over the winter or that overflowing junk drawer in the corner of the kitchen. As you survey your home and yard and decide where to start cleaning, it’s also a great time to look at your application security program and see if any of your existing processes need some tidying up. Here are a few great places to start.

A cloud-based application security assessment (or ASA) is a systematic evaluation to identify vulnerabilities and improve security in cloud applications. It aims to ensure the application’s structural, design, and operational integrity against all cyber threats. A staggering 82% of data breaches in 2023 involved data stored in the cloud.

Today at RSA Conference 2024, Mend.io and Sysdig unveiled a joint solution targeted at helping developers, DevOps, and security teams accelerate secure software delivery from development to deployment. The integration incorporates the exchange of runtime insights and application ownership context between Sysdig Secure and Mend Container to provide users with superior, end-to-end, and risk-based vulnerability prioritization and remediation across development and production environments.

TL;DR we raised a lot of money and we’re ready to go big. We've raised $17M to bring “no BS” security to devs. We’re happy to welcome Henri Tilloy from Singular.vc on board, who is again joined by Notion Capital and Connect Ventures. This round comes just 6 months after we raised $5.3M in seed funding. That’s fast.

Application security is vital for ensuring the resilience of organizations, as it encompasses measures and practices that safeguard applications against potential threats and vulnerabilities. It plays a critical role in safeguarding sensitive data, preventing unauthorized access, and maintaining the integrity and availability of applications.

Despite organizations’ best efforts, security threats are on the rise, with malicious actors continuously evolving their tactics. Unfortunately, the situation is only intensifying as hackers from all walks of life leverage artificial intelligence (AI) and machine learning (ML) techniques. To combat these threats, security teams need to implement gates and controls throughout their entire software development lifecycle.