Best DevSecOps Tools in 2021
With the prominence of cyber attacks and ransomware, companies have embraced DevSecOps as their primary way to fight online threats, and together with Security as Code tools, developers can automate many security tasks. DevSecOps also trains the team to keep the best security practices from the very beginning of a project.
These CI/CD pipeline security tools can scan for vulnerabilities, alarm about security issues, scan images, and more. Some tools will also increase the visibility of the problems using information-rich dashboards, while others integrate directly into the development pipeline, using Infrastructure as Code (IaC) to automate analyzing, patching, and fixing security issues.
Without further delay, these are the best DevSecOps tools in 2021, separated by category:
Visualization and Dashboards
Grafana is ideal for teams that want something very specific out of their visualization tools. It offers a modular approach to Dashboards, making it simple to pick and choose what is monitored and how it’s presented, ensuring all critical information is always visible.
The community also has several dashboard templates ready, making it simple to pick an already made template or use it as the foundation for a custom dashboard, saving development time and resources. Additionally, Grafana offers a resource-rich free sandbox where the capabilities and features of the tool can be tested before committing to purchasing it.
NewRelic is one of the most popular Software as a Service (SaaS) tools in the market. It offers solutions, graphs, and data that can be easily sorted throughout, helping you understand every aspect of the operation. In addition, NewRelic provides in-depth monitoring and analysis of logs, application performance, customer experience, and a lot more.
Kibana is an open-source tool that, when used together with Elasticsearch and Logstash, makes for a powerful visualization tool. It organizes operational data, logs, time series analysis in an easy to understand graphs and charts. When using Elasticsearch, Kibana will help you understand traffic, query load, and how data is accessed within your application, making it a great addition to most CI/CD pipelines.
Alerts and Notifications
Alerta acts as a hub for many monitoring and managing tools, such as Prometheus, Amazon, and CloudWatch. Furthermore, deployment and integration are available on Kubernetes, Docker, Amazon Web Services, EC2, amongst others.
With it, you can ensure that only the necessary alerts get to developers. It also provides only the most recent alerts, which avoids developers wasting time by sorting several notifications. Although alerts are often chaotic and disorganized, Alerta brings much-needed order to this fundamental pillar of DevSecOps.
For those using Elasticsearch, ElastAlert provides an open-source tool able to produce security alerts in near-real-time. Although it can also detect data spikes and anomalies, setting it up requires defining a series of rules that will trigger alerts. And when combined with a match dictionary and rule filters, said rules ensure that only the most critical alerts reach developers.
Contrast Assess is a powerful Interactive Application Security Testing (IAST) tool. It integrates into a development pipeline that runs continuous scans in the background, monitoring and alerting about code security flaws. This tool does an excellent job streamlining the identification and fixing process, allowing developers without background knowledge or experience in security to still work with it.
It can also identify issues inside libraries and dependencies. Additionally, its security database is constantly updated, providing great accuracy, coverage, and efficiency, making this tool ideal for developers who want a hands-off security approach.
Veracode takes a background, non-intrusive approach to security. It scans code in several ways while also being invisible during development.
Veracode has a few specialized modules:
- Static Analysis is used to scan for vulnerabilities at scale on demand;
- Greenlight that scans code for vulnerabilities in real-time, as it’s being written in your IDE;
- Software Composition Analysis, allowing the usage of already existing static analysis configuration to scan components;
- Development Sandbox, scanning code inside sandboxes. Policies applied in this environment will not affect policy compliance in other parts of a project, making it great for testing policies before moving them live.
Veracode also works great if you’re trying to make a well-rounded cloud environment. Feel free to check this GCP cost optimization guide, and take your CI/CD pipeline to the next level by reducing costs while increasing security across the board.
CodeAI will automatically find and fix any security vulnerabilities. This process can be fully automatic or generate alerts to the dev team to take manual action. The tool uses deep learning models to scan millions of real-world bugs and fixes, storing the most likely solutions and what caused the issue.
Its approach gives developers a set of possible solutions to a security flaw instead of a set of issues to be solved, leading to developers spending less time fixing security issues and eliminating the majority of false positives.
Stackstorm works in a model where you set actions to be executed based on previously configured triggers. Every event will pass through a filter of rules that will then decide all the previously scripted actions that must be taken based on that event.
After all filters, rules, and scripts have been configured, this process will happen automatically and be integrated into a CI/CD pipeline to speed up development even further. The “If this, then that” nature helps streamline and automate a lot of the recurring development tasks of a project.
OWASP Threat Dragon
Threat dragon is an open-source, desktop, and web-based tool that follows the values of the threat modeling manifesto, using a powerful rules engine to mitigate and model threats. Its easy-to-use interface makes it simple to pick threats and decide the action to be automatically taken while giving clear visual indications.
Its main draws are the easy-to-use interface, rules engine, and seamless integration with many of the DevSecOps tools in the market. Integrating the engine is as straightforward as defining which features should be covered. The tool will then analyze it and inform about any potential vulnerabilities and their fixes.
ThreatModeler covers both cloud and AppSec, providing thread modeling and preventing attacks. It can be integrated with CI/CD pipelines, comes with a powerful threat library and an efficient threat engine, analyzing data and identifying possible threats across the entirety of the attack surface.
It’s also able to both check specific data or continuously monitor an environment for vulnerabilities. Its templates can also be reused in other situations, reducing the configuration time of recurring tasks.
IriusRisk uses an intuitive method when configuring it. You can either use draw.io to define your needs or answer a questionnaire to clarify to the tool what sort of architecture needs to be protected.
Once it gathers all the required information, the tool analyzes the attack surface of the architecture. Then, it generates a list of possible threats and their solutions, making it straightforward to instantly solve any detected issue or vulnerability.
Additionally, it generates reports, scoring how safe the analyzed infrastructure is, detailing any issues found, and giving a set of countermeasures that can be accepted or ignored. IriusRisk also logs all these changes to the preferred issue tracker, ensuring high threat visibility.
No tool will solve every issue or cover every use case. And this is by no means an exhaustive list of the DevSecOps tools available. However, they cover the most prominent use cases and are used by the biggest names in technology to safeguard their data, infrastructure, and assets.
These tools will not only increase security across the board and integrate into your development pipeline, but they also automate a variety of tasks, reducing manual overhead and increasing the productivity of developers.