Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

This year, the cybersecurity landscape shifted. Between the rapid adoption of AI-generated code and the increasing complexity of software supply chains, security teams faced unprecedented challenges. According to IBM’s annual Cost of a Data Breach Report, the global average cost of a data breach in 2025 was USD 4.44 million. Organizations needed more than just tools; they needed a partner capable of moving at the speed of modern development.

Implementing DevSecOps integrates security directly into your DevOps pipeline, allowing you to build secure applications without sacrificing speed. Many organizations treat security as an afterthought, which leads to increased risk, mounting security debt, and costly project delays. Data shows that half of organizations have critical security debt (high severity, high exploitability flaws) This article provides a clear, six-step framework for implementing DevSecOps.

In November of last year, Aaron Bray made some supply chain security predictions for 2025. Now, as we approach the close of the year, we are going to look at how those predictions turned out. But first let’s start with the high-level statistics and review some of the campaigns we have been tracking and reporting on this year. As this year is not yet over, we have excluded data from December for both 2024 and 2025.

Have you decoded CVE-2025-66478?

The expectation for fast and free solutions dominates both personal and professional environments. From streaming platforms to software tools, convenience and zero-cost access often drive decision-making. While this approach may seem efficient on the surface, it raises critical questions about the hidden costs and overlooked trade-offs.

We recently published a series of polls across our social channels to get a pulse on some of today’s application security concerns with AI. These recent conversations with our community reveal a clear and urgent shift in the application security landscape. Results show that while established challenges like software supply chain security remain top of mind, the rapid pace of AI has created a new center of gravity for anxiety.

Application security is becoming increasingly fragmented. Development and security teams use a wide array of tools for testing, protection, and supply chain security. While each tool serves a purpose, they often operate in silos. This fragmentation creates a disconnected view of an organization’s security posture, making it difficult to prioritize and remediate risk effectively.

The landscape of application development is moving faster than ever, driven by AI and cloud-native technologies. While this rapid innovation creates opportunity, it also expands the attack surface, making robust security non-negotiable. As a security leader, you understand that effective application security testing software is the foundation of a strong defense. But in the face of escalating threats, are the basic tools still enough?

Nov 20, 2025 UK Cyber Security Bill: A Mandate for Resilience Read More Natalie Tischler Nov 18, 2025 GPT‑5 Pulls Ahead on Secure Code While Rivals Stall Read More Natalie Tischler Nov 12, 2025 Beyond Your Code: A Guide to Software Supply Chain Risk Management Read More Natalie Tischler.

The UK government has introduced its Cyber Security and Resilience Bill to parliament, signaling a significant update to the nation’s cybersecurity framework. The legislation aims to modernize and strengthen the existing Network and Information Systems (NIS) Regulations 2018, preparing the UK to defend against a new generation of digital threats. This bill is more than a regulatory update; it is a clear call for businesses to embed proactive security and resilience into their core operations.