Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

As developers continue to adopt AI tools to transform their workflows, AI-generated code has become more common. In fact, 96% of developers reported using AI coding assistants to streamline their work. Although generative AI (GenAI) tools like ChatGPT can speed up workflows and boost productivity, the security and quality of the outputs aren’t guaranteed.

JWTs are often used by developers who seek to implement authentication over traditional cookie-based sessions. However, what happens when developers misunderstand JWT security and risk a severe broken authentication vulnerability?

The confidence gap in secrets management is real: 75% of organizations feel secure while only 44% of developers follow best practices. Discover what security experts reveal about remediation challenges, responsibility issues, and practical solutions for protecting your most sensitive credentials.

For years, IT teams have been stuck in a reactive mode, scrambling to fix network performance issues only after users start complaining. Despite an abundance of monitoring tools, the real challenge has always been identifying and resolving issues before they impact productivity—without spending countless hours on manual troubleshooting.

Vulnerability management has always been a challenge, but today’s security teams are feeling the pressure more than ever. With thousands of new CVEs reported every month, the sheer volume makes it difficult to know where to focus. In-use vulnerability prioritization is one of the most effective ways to cut through the noise, focusing only on vulnerabilities that are actively loaded in runtime. To focus on what really matters, security teams need better ways to prioritize risk.

Cyber threats are evolving and are one of the reasons why data breach costs increase each year, and traditional security models are struggling to keep up. As businesses embrace cloud computing and working remotely, the old "trust but verify" approach is proving inadequate, leading to the increased adoption of zero-trust policies. But is Zero Trust widely accepted? The answer is increasingly yes. So, how does Zero Trust work, and what makes it so effective?

In line with our philosophy of delivering an exceptional customer experience, Cato Networks has added a knowledge-base AI assistant as part of the Cato SASE Cloud Platform. The AI assistant provides accurate, relevant answers to questions about using Cato’s many capabilities with detailed, step-by-step instructions uniquely suited to the user’s situation and circumstance.

The enterprise attack surface now extends well beyond the network firewall. As a result, Third Party Risk Management Teams are increasingly becoming an extension of Security Operations Centers, responding in times of crisis to questions of who, what, and more urgently, how and when. The line between ‘their exposure’ and ‘our risk’ is almost non-existent. But bridging the gap between data and platforms can be challenging.

With its immense power and versatility, PowerShell has become a modern Windows administration, scripting, and automation standard. Developed by Microsoft, it is a powerful automation and configuration tool/framework that integrates seamlessly with other Microsoft technologies. However, this power also brings potential risks, and to mitigate them, PowerShell introduces execution policies—a set of rules that determine the conditions under which PowerShell scripts can run.