You probably don’t need anyone to tell you that, today, infosec and cybersecurity are challenging and fast-paced endeavors. In the last five years alone, we’ve seen a myriad of industry altering developments — from an ever expanding universe of privacy compliance legislation and the permanent entrenchment of hybrid and remote work, to growth in the size and scope of data breaches — the world of security has proven ever complex and ever-shifting.

2022 revealed that security challenges remain for organizations leveraging GitHub. Between supply chain attacks, API key leaks, and other security risks, there are plenty of lessons and takeaways from this year’s GitHub-related headlines. In this post, we’ve rounded up and categorized the year’s largest GitHub stories. Read on to learn more about the types of security risks occurring in GitHub and the lessons you’ll want to take with you into 2023 and beyond.

2022 has seen a slowdown for the cryptocurrency ecosystem, as well as a decrease in demand for cryptocurrency-related activities like cryptomining. Even before the catastrophic implosion of the FTX cryptocurrency exchange, multiple market bubbles (from failed exchanges other than FTX) and events like Ethereum’s highly anticipated transition from proof of work to proof of stake have dampened enthusiasm for cryptocurrencies.

The Atlassian ecosystem provides thousands of companies with the ability to collaborate remotely through powerful, feature-rich SaaS applications like Jira. As such tools become the norm across companies, big and small, the amount of sensitive information stored in these systems will increase. This means that organizations need to prioritize minimizing the risk of exposure within cloud environments.

The Atlassian ecosystem provides thousands of companies with the ability to collaborate remotely through powerful, feature-rich SaaS applications like Confluence. Over the least year, the rise of remote work has meant many companies have hosted their internal information hubs on Confluence. As such tools become the norm across companies, big and small, the amount of sensitive information stored in these systems will increase.

The last decade has seen a dramatic rise in data breach risk, with data breach incidents increasing nearly 840% between 2005 and 2019 according to the Identity Theft Resource Center. In this guide, learn about the growing problem of sensitive data exposure and how to use the Nightfall Developer Platform to easily build tools to identify and remediate this problem.

Google Drive is an integral part of Google Workspace (formerly known as G Suite). With over 6 million customers and over 2 billion monthly active users, Google’s platform is the world’s largest collaboration tool for companies both large and small. In Google Drive, employees across the world create, edit, and share files on a daily basis. This, however, does not occur without the risk of data leakage.

As with most SaaS applications, within Salesforce it is your organization’s responsibility to determine whether Salesforce’s default security settings meet your specific security and compliance obligations. Read this online guide, for free, to learn about the problem of data exposure in Salesforce and how to ensure compliance with HIPAA, PCI, and other leading industry standards while storing sensitive data in Salesforce.

The rise of cloud, containers, and microservices has shifted the way software developers work for good. Whereas traditionally, software developers would release a new version of an application every few months, today’s platforms allow teams to work faster and more streamlined. These advancements have led to the rise of “software, safer, sooner” — also known as DevSecOps.

Environments like GitHub present data exposure risk in the form of secrets leakage and sensitive PII leaking from repositories. Read this online guide, for free, to learn about the problem of secrets exposure and leakage in GitHub, as well as how to easily implement secrets detection and scanning to prevent this risk.