Developers are expected to write new and more complex code to create leading-edge features in new software releases at a relenting pace. To do this they are looking for help from AI assistants like GitHub Copilot to help write better code, faster. They want to write, debug, and secure their code simultaneously, driving the need for leading-edge products like Copilot Autofix.

This post is based on ongoing security research – and will continue to be updated as we get additional information…

Vulnerability management programs attempt to identify and correct software vulnerabilities before they pose a significant threat to an organization’s cybersecurity. To learn more about how to design and implement a vulnerability management program, check out these resources: This article describes the tools that an organization will need to implement an effective vulnerability management program.

With the rise of data breaches and hacking attempts, a strong cybersecurity posture is the most significant need today. Given the scale of cybercrime growth, you need to carefully consider several key factors that will ultimately impact the cybersecurity solution you pick. Businesses have realized the value of their data; now they must invest in tools to easily detect and respond to security issues.

7 hours. That’s how long, on average, a developer takes to remediate a security issue in their code. Vulnerability detection is improving rapidly and scaling, but remediating security risks is still a tedious, time-consuming process that takes developers away from their core work. And now, with AI-generated code introducing vulnerabilities at greater speed and volume than ever before, remediation is taking even more time.

Continuous vulnerability management is not just a best practice—it's a necessity. With so many open-source dependencies to choose from (almost 3 million on the npm registry!), it’s no wonder supply chain security incidents are the focus of malicious actors. Let’s not forget the rise of ChatGPT, LLM chatbots, and AI-assisted code generation.

Can you imagine a world without passwords? There’s nothing more annoying than trying to access an account you haven’t used in a while, only to find out you’ve forgotten your password. As we need to verify our identities for almost everything, it is pretty easy to forget passwords to old accounts. This means you have to waste time remembering usernames, secret answers to questions, verifying, and creating and saving a new password.

The growing reliance on generative AI is transforming industries across the globe. From automating tasks to improving decision-making, the potential of these systems is vast. However, with this progress comes significant risks. Generative AI can be unpredictable, creating new vulnerabilities that expose organizations to data privacy breaches, compliance failures, and other security issues. So, how can companies harness the power of AI while ensuring they remain protected?

The Cyberint Europe Threat Landscape 2024-2025 report sheds light on the increasingly complex and evolving cyber threat environment affecting organizations across Europe and the UK. Leveraging data from Cyberint—which monitors threats like phishing, malware, and supply chain vulnerabilities—the report highlights a surge in malicious activities driven by global conflicts, technological shifts, and the growing use of generative AI in cybercrime.