Artificial intelligence (AI) and machine learning (ML) systems have become the norm for using client data to provide recommendations to customers. As more people are working from home and conducting business online, it is imperative that fraud detection software is used to protect user information. But these protective systems also utilize ML to automate the process and understand when a potential attack is taking place.

The exploitation of traditional remote access technologies is reaching new records. That, in a nutshell, is the main finding of Nuspire’s Threat Landscape Report Q1 2021. The report, sourced from 90 billion traffic logs during Q1 2021, looks at a range of events such as malware activity, botnet activity, exploitation activity, and remote access. The remote access section probably best illustrates the risks posed by the sudden shift to remote working.

The many business benefits made possible by digital transformation are undoubtedly making waves across industries. Data is the raw material that drives smarter decision-making, and as such, drives value for organizations, but things quickly get challenging when you start to consider how all that data will be used—and who has access to it, when.

Mobile Application Penetration Testing Methodology as a security testing measure, analyses security perimeters within a mobile environment. Derived from the traditional concept of application security methodology, its main focus lies on client-side security and it broadly puts the end-user in control. By conducting penetration testing, companies can gain insights into the source code’s vulnerabilities, bottlenecks, and attack vectors beforehand.

The following is an excerpt from Netskope’s recent book Designing a SASE Architecture for Dummies. This is the fifth in a series of seven posts detailing a set of incremental steps for implementing a well-functioning SASE architecture. Now that your organization is smarter about its traffic, able to see what’s going on, and able to enforce policies to secure its data, you can realize the promise of a remote-first workforce.

The vast majority of today’s applications are made up of open source components. The 2021 “Open Source Security and Risk Analysis” (OSSRA) report, conducted by the Synopsys Cybersecurity Research Center (CyRC), found that 75% of the 1,500+ codebases analyzed were composed of open source. Understanding what’s in your codebase is essential, and for M&A transactions it’s one of the key drivers for performing software due diligence.

We’re excited to announce the launch support for AWS CloudFormation in Snyk Infrastructure as Code. In our recent Infrastructure as Code Security Insights report, we found that 36% of survey participants were using AWS CloudFormation (CF) as their primary infrastructure as code tool of choice. Using Snyk Infrastructure as Code, you can now scan your CF YAML or JSON templates against our comprehensive set of AWS security rules.

Many people will have heard of the SPDX project through the work on the SPDX License List. This list of canonical identifiers for various software licenses is used in a huge range of developer-focused software, from Snyk to GitHub. But the SPDX project, which is part of the Linux Foundation, has a much broader focus on providing an open standard for communicating software bill of material information.