Progress announced new powerful capabilities and enhancements in the latest release of Progress® Sitefinity®.
It is important to not only pay attention to product delivery automation and speed but also to add security to software updates, critical system vulnerabilities, and correct system access control, which DevSecOps practices assist with.
Start with DevSecOps Best Practices and Business Value - Part 1
The following are DevSecOps best practices:
Principle of least privilege (PolP)
DevOps teams should always follow the principle of least privilege (PolP). This means if any automated system or account needs to be given privileges by another system, the requesting system should be given only the access that is needed to complete the work. Most requesting systems or teams should never be given full permissions, root, sys admin, or any other role that provides them with much more than is necessary. This is true even if it means that multiple requests will be made later for additional permissions.
Digital signature
A DevSecOps practice should concern itself with security during all steps previously touched by DevOps processes and personnel. Developers who are going to be writing new code, or changing existing code, should be authorized and trusted by the system.
System control versions should not only access authorization functionality, but also digital signature options. Only trusted people with a digital signature may transfer their changes to the code in the master branch. DevSecOps best practices dictate that if a source control system has these digital signature capabilities it should be using them to ensure that the code in the system is only added/modified by a trusted source.
Security tests
During Continuous Integration (CI), security tests can be performed. It is difficult and time consuming to check large code bases manually for security vulnerabilities. Using security testing helps save time and effort.
As it's often impractical to check the entire code security manually, especially when it comes to code built for enterprise products, there are systems for such security tests that help save DevOps teams' time and effort. Both static application security testing (SAST) and dynamic application security testing (DAST) can be performed as part of the CI workflow. SAST examines the codebase for vulnerabilities by peering into the code itself and looking for problems such as SQL injection. DAST requires a running version of the product and it is tested by attacking the working system and making sure it isn't vulnerable.
Detecting Common Vulnerabilities and Exposures (CVE)
There are several organizations whose products help to make sure that code or containers are secure, preventing common vulnerabilities and exposures. There are also non-commercial organizations, such as the Center for Internet Security (CIS), that provide security benchmarks for free with detailed installation descriptions and instructions. This helps teams to check the system's security level, understand common vulnerabilities and exposures of configuration and conduct semi-automated or automated testing.
There are also algorithms and tools that allow teams to initially define the security logic within the code. Such process is known as Threat Modelling, the main idea of which is to architect a safe application solution from scratch and analyze all possible vulnerabilities methods for existing applications.
Open source applications like OWASP Threat Dragon or Seasponge may help. There are also third-party products that allow developers to securely save and retrieve passwords, allowing teams to outsource password security and maintenance to specialist providers.
Monitoring
Once a product's code has been placed in source control and deployed, the system needs to be monitored.
It is important to distinguish between traditional infrastructure and system monitoring (even smart monitoring) and security monitoring.
Security monitoring needs to fill two key roles:
1. If a system is under attack, it should provide information about the entry point and escalation process for all affected systems
Various software or hardware solutions provide information on penetration. If network penetration has occurred, then this problem is usually solved by the IDS/IPS system, which allows for the detection of an attempt to penetrate and further spread along the internal perimeter of the network.
Systems based on the analysis of events from the host system allow teams to identify clearly prohibited actions, for example, executing a process from root, or repeated attempts to enter a password, check the availability of network ports and attempt to communicate over prohibited ports and protocols. All of this data allows teams to analyze and identify the entry point and escalation process.
For cloud native solutions and organizations there are mechanisms which are ready for collection and analysis. For example, there are Cloudtrail, Cloudwatch, Lambda and other services for AWS that allow you to implement a range of security tasks or serve as mechanisms in the process of ensuring information security.
2. Monitoring abnormal behavior
To monitor abnormal behavior, it is critical to know the system's normal state in order to make rules which will detect any unusual cases. The reporting here will allow the DevSecOps team and developers to take appropriate actions (modify existing rules or write new ones) to avoid future attacks.
Let's look at an example of a database inside Kubernetes when there is an attempt to gain access. When this happens, create a rule: send a notification when there are more than 30 attempts per one minute to gain access, which means that normal behavior, or "white list," will include less than 30 attempts per minute. A DevOps team member can build a middleware service that will accept all incoming communication from the application and check the status of the Database. A SecOps team member can create a "white list" with allowed applications, verifying a hash sum Docker container and is the last person who pushes a container to a registry, plus adding a secure transport layer and a certification authentication between all applications.
Finally, a DevSecOps member may use all the approaches mentioned above and automate the process by creating security rules and one authorization service.
Industry News
Red Hat announced the general availability of Red Hat Enterprise Linux 9.5, the latest version of the enterprise Linux platform.
Securiti announced a new solution - Security for AI Copilots in SaaS apps.
Spectro Cloud completed a $75 million Series C funding round led by Growth Equity at Goldman Sachs Alternatives with participation from existing Spectro Cloud investors.
The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, has announced significant momentum around cloud native training and certifications with the addition of three new project-centric certifications and a series of new Platform Engineering-specific certifications:
Red Hat announced the latest version of Red Hat OpenShift AI, its artificial intelligence (AI) and machine learning (ML) platform built on Red Hat OpenShift that enables enterprises to create and deliver AI-enabled applications at scale across the hybrid cloud.
Salesforce announced agentic lifecycle management tools to automate Agentforce testing, prototype agents in secure Sandbox environments, and transparently manage usage at scale.
OpenText™ unveiled Cloud Editions (CE) 24.4, presenting a suite of transformative advancements in Business Cloud, AI, and Technology to empower the future of AI-driven knowledge work.
Red Hat announced new capabilities and enhancements for Red Hat Developer Hub, Red Hat’s enterprise-grade developer portal based on the Backstage project.
Pegasystems announced the availability of new AI-driven legacy discovery capabilities in Pega GenAI Blueprint™ to accelerate the daunting task of modernizing legacy systems that hold organizations back.
Tricentis launched enhanced cloud capabilities for its flagship solution, Tricentis Tosca, bringing enterprise-ready end-to-end test automation to the cloud.
Rafay Systems announced new platform advancements that help enterprises and GPU cloud providers deliver developer-friendly consumption workflows for GPU infrastructure.
Apiiro introduced Code-to-Runtime, a new capability using Apiiro’s deep code analysis (DCA) technology to map software architecture and trace all types of software components including APIs, open source software (OSS), and containers to code owners while enriching it with business impact.
Zesty announced the launch of Kompass, its automated Kubernetes optimization platform.
MacStadium announced the launch of Orka Engine, the latest addition to its Orka product line.