Rapid digitalization and increasing remote business operations place a significant burden on developers, who are continuously pressured to push out software faster. As a result, CI/CD security risks being overlooked, although it is an essential part of modern software development practice. While it accelerates product releases, CI/CD is vulnerable to cybersecurity issues such as corrupted code, security misconfiguration, and mismanagement of secrets.

The trouble with allowing developers to deploy code directly to production is that security threats are often overlooked in the process. These vulnerabilities only show up later during runtime. Once this happens, it falls on the shoulders of the Ops team or SREs to engage in firefighting.

Becoming and staying PCI compliant both take a lot of work. Developers are often already swamped with an endless list of tasks, and adding PCI compliance can be overwhelming. Security awareness is one thing, but a set of requirements is entirely different. It means you have less freedom in how you wish to implement security in your application, and you must understand the requirements demanded by your organization.

Security is the biggest threat facing organizations that strive for faster software delivery. Organizations are witnessing increasing attacks due to application code gaps and security weaknesses. According to a Forrester report, software security flaws accounted for cyberattacks in about 47% of organizations.

The number of secrets exposed in public repositories is staggering. With reports in 2021 reaching up to 6 million secrets detected, an increase of 50% from 2020. Secret sprawl is part of every organization, but it is a plague on the open-source world of software development. Even if your organization has a top-notch security-aware culture, human error will inevitably cause secrets to leak and data to be lost or compromised.

While modern businesses depend on data to stay ahead of the competition, data alone isn’t enough. They also need efficient search engines to quickly index and search through millions of records to make sense of the data. Today we’re looking into SOLR and Elasticsearch, the two heavyweights in this domain, to compare their performance differences and use cases.

Cyber threat is soaring on the list of the gravest challenges plaguing organizations today. This is partly an outcome of developers including security in their development process as an afterthought. Although enterprises quickly realize the cyber threat risks to their businesses and reputation, they seem to be in a state of indecision.

You’ll probably agree that there are barely any organizations left that don’t use some form of cloud computing in their daily operations. In fact, the cloud computing market is booming, with various sources expecting a worth of upwards of $600 billion within the next two years. And it makes sense: Cloud computing is the cheaper, scalable, easier-to-manage young cousin of yesteryear’s private server.

If you’re an IT manager or business owner, chances are external security is always top of your mind. But lately, managing access control of documents for employees has become just as necessary to limit access to information and information processing systems. While cybersecurity breaches are a menacing threat, internal security problems can be equally devastating, making access control measures necessary to mitigate the risk of access without authorization.

In the world of Big Data, decentralization is king. Seeing that today’s data sets are so large and complex that traditional database systems cannot handle them, distributed deep learning splits computational problems that require high storage and solving time into many subproblems that can be assigned to multiple machines.