With the need to produce innovative software faster than ever, and cyberattacks not slowing down, it’s no surprise that, for projects large and small, ensuring the security of your code at every step is key. But if software engineers want to meet these everyday demands with success, it’s important to understand how different security scanning types fit in throughout the development process, and how the needs of your team might impact scans.
While it’s relatively easy to buy modern security tools, the culture of a company can have an enormous impact on the successful rollout of new security processes. In fact, one of the greatest hurdles for implementing a DevSecOps approach to application security is company-wide adoption.
In May 2020, Kroll was contacted by a purveyor of high-end meats after receiving several customer complaints of potentially fraudulent credit card activity. The fraud allegations were raised after several customers observed unauthorized transactions on their credit cards shortly after placing orders through the purveyor’s e-commerce website. Kroll quickly assigned one of their seasoned Payment Card Industry (PCI) forensics investigators to review and investigate the matter.
TierPoint is a leading provider of secure, connected data center and cloud solutions at the edge of the Internet with thousands of customers. At TierPoint, I’m responsible for maintenance and development of the information security program, which includes threat analytics, incident response, and digital forensics. We’re constantly looking for new and even more effective ways to aggregate, process, and make decisions from massive amounts of data streaming in from diverse sources.
Open Policy Agent (OPA), now a graduated project from the Cloud Native Computing Foundation, has become the open-source tool of choice for millions of users, who leverage it as a standard building block for policy and authorization across the cloud-native stack. Given the flexibility of OPA — with practically limitless deployment options — it has been adopted for dozens of use cases across hundreds of companies.
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