Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Modern software development relies on open-source components to accelerate innovation. This efficiency, however, introduces significant risk. Your application’s security is now tied to a vast and complex supply chain of code you did not write. The persistent software supply chain challenge is that this external code is a primary source of critical vulnerabilities and a hard.

Over the past year, AI-generated code has moved from novelty to normal. Developers are shipping faster, prototyping faster, refactoring faster… sometimes without fully understanding what they just merged. From the outside, it looks like a productivity renaissance. From the inside, it feels like something else: a new kind of operational risk that doesn’t behave like the old kind.

The concentration of dangerous software flaws is accelerating. The number of high-risk vulnerabilities – those with both high severity and high exploitability – has surged by 36% year-over-year, according to the 2026 State of Software Security Report. This trend indicates a critical problem: more risk is entering your codebase faster than ever before.

For years, developers have faced a frustrating trade-off when it comes to application security testing: you could have speed, or you could have depth. Deep, comprehensive scans often meant waiting for results. Fast scans, on the other hand, often missed critical vulnerabilities or flooded the backlog with false positives. But as development cycles accelerate and AI-generated code introduces new risks at scale, this choice is no longer acceptable.

Modern software development has a fundamental problem: we are writing code faster than we can secure it. This creates security debt, a quantifiable backlog of unaddressed vulnerabilities that lingers for over a year. Much like financial debt, it compounds interest over time, but the currency is risk. Despite increased investment in security tools, this backlog is growing, not shrinking. With security debt reaching a critical mass in 2026, organizations must shift their strategy.

You can’t fix what you ignore. For years, organizations have raced to deploy software faster, often leaving a trail of unresolved vulnerabilities in their wake. We call this trail security debt, or flaws that are left unresolved over a year since being discovered, and it isn’t just a technical metric. It’s a compounding business risk that is growing harder to manage every year. Today, we are releasing the 2026 State of Software Security (SoSS) report.

Anthropic recently launched Claude Code Security, an AI-powered vulnerability scanner that can analyze your codebase, trace data flows across files, find bugs, and even propose patches. It represents a meaningful advance in how developers can get security insights earlier in the development process. But let’s be clear: this is not a replacement for a comprehensive application security program.

A Malicious NPM Package Hides Pulsar .NET Malware Inside PNG Images.

The cybersecurity landscape is in constant flux, shaped by emerging technologies, evolving threats, and increasing regulatory demands. As organisations strive to protect their digital ecosystems, the challenge isn’t just collecting data—it’s turning that data into actionable strategies that drive meaningful change. Next week, we’ll unveil the 16th edition of Veracode’s flagship State of Software Security (SoSS) report—a cornerstone of the cybersecurity calendar.

Open-source components are the building blocks of modern software, enabling your team to innovate and deliver features faster. This reliance, however, introduces a significant challenge: your application’s security is now tied to a vast and complex supply chain of code you didn’t write. The risks are escalating, with attackers targeting open-source libraries to launch widespread breaches.