Lacework is a cloud-native application protection platform offered as-a-Service; delivering build-time to run-time threat detection, behavioral anomaly detection, and cloud compliance across multicloud environments, workloads, containers, and Kubernetes.
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SonarQube Server
Score 9.5 out of 10
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SonarQube is a code quality and vulnerability solution for development teams that integrates with CI/CD pipelines to ensure the software you produce is secure, reliable, and maintainable.
Lacework is well suited for behavioral analysis. One thing to consider thought is in the early stages there will be quite a bit of noise generated by Lacework. There will be a higher volume alerts generated initially - until a good baseline is generated. Overall Lacework is good with alert handling - integration with Slack is good.
Large codebase: The tool's static analysis capabilities can help teams quickly identify and fix bugs, vulnerabilities, and code smells in large codebases.
Compliance and security: The tool can check the code against industry standards or regulations, such as OWASP and CWE, and identify any issues that need to be addressed.
Agile development: SonarQube can be integrated with CI/CD pipelines allowing teams to continuously monitor and improve code quality throughout the development process.
Teams using multiple languages: Teams that use multiple programming languages can benefit from using SonarQube, as the tool supports a wide range of languages and can be integrated with a variety of development tools.
Scenarios where SonarQube may be less appropriate:
Small codebase: Organizations with a small codebase may not see the full benefits of using SonarQube, as the tool's static analysis capabilities may be overkill for a smaller codebase.
Limited resources: Organizations with limited resources may find it difficult to set up and configure SonarQube, as the tool can be complex and may require specialized expertise.
Limited integration: Organizations that use development tools or IDEs that are not supported by SonarQube may find it difficult to integrate the tool into their existing development workflow.
Limited scalability: Large organizations with millions of lines of code may find SonarQube's performance and scalability to be an issue. It may take longer for the analysis to finish and the results may not be as accurate.
Not all runtime behaviour alerts offer enough data to decide whether or not something is malicious. Having even more data (e.g., what process is doing a specific action) would help.
We we easily able to integrate the SonarQube steps into our TFS process via the Microsoft Marektplace, we didn't have the need to call SonarQube support. We've used their online documentation and community forum if we ran into any issues.
Compared to Sysdig Falco (the free open-source IDS), Lacework helps security teams by providing actionable alerts and a user-friendly interface that gives you an overview of all workloads being monitored, and detailed insights into these workloads if needed. Falco requires you to build your own integration and interface around it, including a mechanism to whitelist certain alerts. This made it harder for the security team to focus their time on potential intrusions.
SonarQube identifies significant more thing compared to the built-in suggestions in IntelliJ IDEA. The suggestions how to correct issues are also a lot better with SonarQube. IntelliJ IDEA provides great refactoring support to make it easy to refactor the code to solve issues. We use these tools together and they really complement each other.
Being a FinTech company, financial institutions who partner with us want to know that we are appropriately maintaining a Security, Risk and Compliance program that maintains a level of comfort for their vendor management. Lacework gives us the ability to monitor and maintain a level of security for our infrastructure that puts our partners at ease, reduces the revenue cycle for new partners and opens doors to the future.
Positive ROI from the standpoint of flagging several issues that would have otherwise likely been unaddressed and caused more time to be spent closer to launch
Slightly positive ROI from time-saving perspective (it's an automated check which is nice, but depending on the issues it finds, can take developers time to investigate and resolve)