Imagine slashing the time spent on code reviews while catching more bugs and vulnerabilities than ever before. That’s the promise of AI-driven code review tools. With 42% of large and enterprise organizations already integrating AI into their IT operations , the future of software development is here. These tools can swiftly detect syntax errors, enforce coding standards, and identify security threats, making them invaluable to development teams. However, as powerful as AI is, it has its pitfalls.

As organizations embrace social media for networking, marketing, and recruiting, platforms like Facebook, Instagram, LinkedIn, and X (formerly Twitter) have become integral to business operations. While social networking sites offer numerous benefits for productivity, collaboration, and engagement, they also introduce significant security challenges, particularly concerning the handling and potential exposure of sensitive data.

First, I want to make sure we’re all on the same page. Special category data is personal data that is considered sensitive and requires additional safeguards when processed, as it can have a significant impact on an individual's life.

Early last month, Netskope announced a few key security innovations across the Netskope One platform and some of my colleagues kicked off the conversation about Netskope Risk Exchange in a previous blog, Evolving the Netskope Risk Exchange Ecosystem. This blog series will continue to explore a number of different workflows that those comfortable using basic scripting, or enablement tools like Postman, can employ to programmatically update and inform your inline policy actions.

On October 9, 2024, GitLab released patches for a critical vulnerability affecting various versions of GitLab EE, identified as CVE-2024-9164. This flaw allows a remote attacker to run pipelines on arbitrary branches within a repository, which could potentially lead to code execution. A GitLab pipeline consists of a series of automated processes that execute in stages to build, test, and deploy code.

Personally Identifiable Information (PII) is data that can uniquely identify an individual, such as an employee, a patient, or a customer. “Sensitive PII” refers to information that, if compromised, could pose a greater risk to the individual’s privacy and misuse of information for someone else’s gains.

In the ever-evolving cybersecurity landscape, the debate between Universal ZTNA and Traditional ZTNA is heating up. While Traditional ZTNA has been a cornerstone for secure access, Universal ZTNA is redefining the game with its comprehensive, adaptive approach. Imagine a security solution that fortifies your network and seamlessly integrates with any environment, providing unparalleled protection and flexibility. Ready to explore the future of secure access?

Happy October! The leaves are changing and everyone is starting to get ready for the upcoming holidays, but let’s not forget one of the most important holidays of the year—Cybersecurity Awareness Month! Though our audience is almost entirely cybersecurity experts, we wanted to put something together to help the less technical people in our lives learn more about AI and cybersecurity, because Cybersecurity Month is for everyone.