Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The application security landscape is undergoing a fundamental transformation. While organizations race to deliver software faster than ever, traditional security approaches create bottlenecks that compromise both speed and protection. This isn’t a problem you can solve by throwing more disparate tools at the challenge. It requires a holistic, strategic shift to AI-powered application security.

Open-source repositories like npm and PyPI are instrumental in modern software development. They give developers access to countless libraries, accelerating innovation and shortening time-to-market. However, this convenience comes with a hidden cost. Lurking within these essential resources lie malicious packages. Left undetected, they can impact application integrity, compromise sensitive data and undermine organizational trust.

Amid growing reports from the security community, Veracode has been closely tracking the resurgence of a sophisticated threat actor behind the recent npm account compromise and the injection of malware into the widely-used ‘nx’ package. This evolved malware now exhibits worm-like capabilities, enabling it to spread rapidly and amplify its infectious impact across the ecosystem.

Veracode is proud to announce our recognition as a Leader in The Forrester Wave: Static Application Security Testing (SAST) Solutions, Q3 2025. We believe this acknowledgment from a leading analyst firm reflects our relentless focus on innovation, customer success, and our vision for a secure, developer-first future. The Forrester Wave serves as an essential guide for technology buyers, and this report offers a comprehensive look at the 10 most significant SAST providers.

The application security landscape is undergoing a profound transformation. Modern development practices, characterized by cloud-native architecture, microservices, and AI-assisted coding, have exponentially expanded the attack surface. In response, organizations are grappling with an overwhelming volume of vulnerabilities from a disconnected array of security tools. This alert fatigue makes it nearly impossible to distinguish real threats from noise.

If you think AI-generated code is saving time and boosting productivity, you’re right. But here’s the problem: it’s also introducing security vulnerabilities at an alarming rate. Our latest research reveals that 45% of AI-generated code contains security flaws, turning what should be a productivity breakthrough into a potential security nightmare.

Modern software development thrives on speed and innovation, fueled by open-source libraries and third-party components. These resources are essential; they accelerate development cycles, reduce costs, and enable teams to bring complex projects to life. But with great reliance comes great risk. The software supply chain is under attack, and vulnerabilities hidden within can create massive security, operational, and compliance challenges.

For years, the cybersecurity industry has hyped AI as a game-changer, but what vendors often delivered was basic machine learning driven or simple predefined rules. The rise of ChatGPT and similar tools dramatically reshaped the landscape, prompting vendors to hastily identify real AI use cases in their offerings.