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4-star reviews ( Show all reviews )

    Manjunath Maneppagol

Context-aware code analysis has reduced noise and now improves developer experience with actionable security findings

  • November 28, 2025
  • Review from a verified AWS customer

What is our primary use case?

I have been working with Semgrep for almost a year, approximately six to eight months on and off. In my current organization, I have a strong experience for SAST solution POCs, and I have conducted POCs for Semgrep, Checkmarx, Snyk, and SonarQube to evaluate SAST capabilities.

Our primary use case for Semgrep is to identify static code vulnerabilities and SAST vulnerabilities. Every other organization or vendor claims to offer this capability, but Semgrep is built differently compared to all these traditional tools. I have almost a decade of experience using various SAST tools, and Semgrep not only looks at particular code but understands the entire code to get context around whether an issue is real or not through context analysis.

One of the primary use case for us is also the shift-left approach, which means improving our developer experience. Our developers do not want to wait until they commit changes to GitHub or build it. They want synchronous feedback directly within their IDE. Semgrep provides an IDE integration and also supports MCP gateway. Additionally, secrets scanning is another important use case for us.

What is most valuable?

The seamless integration of Semgrep into our existing platform is what I really appreciate. It is very easy, I was able to integrate and onboard it in just 10 to 15 minutes. This is in stark contrast to dealing with different SAST tools about integration across thousands of repos.

Another great feature is that Semgrep greatly reduces the noise compared to other SAST tools. After scanning through the codebase and understanding it, Semgrep has a capability called AI analysis or AI triage. When you triage with AI, it gathers context around the finding and reduces the noise about 80 to 90 percent of the time, asking you to focus only on findings that really matter.

Another excellent experience I had with Semgrep is when there was a finding that AI was not able to correctly diagnose or identify whether it was an actual finding or not. It reported it as a vulnerability, but when I verified it as a security engineer, I determined it was not a vulnerability in our case because we have compensatory controls in place. When I indicate this, Semgrep asks if it can apply the same logic to other similar findings. With a single click, it reduces a lot of noise for me, saving a huge amount of my time and effort.

The results are also impressive. Most solutions identify a static query like raw SQL and simply say there is a SQL injection that is critical. Semgrep, however, looks into the query file and understands the context. It recognizes that this is a SQL query without any user input or database migration script, and it assigns appropriate risk. This intelligent capability of Semgrep is what impressed me.

Semgrep will easily fit into the ecosystem you are building or the ecosystem you are working with. It is going to increase the developer experience in terms of how easily developers are able to understand the findings. It will also increase the security posture because developers are easily able to understand and fix those findings. Overall, the application security posture and the relationship between the development community and the security engineering will improve because Semgrep integrates so seamlessly and functions very smoothly.

What needs improvement?

I have consistently observed that their scan time is an issue for mono repos. Sometimes with their AI-based scanning, when you triage that scan, the scan never completes or finishes(, which makes it difficult. Another consistent issue is that whenever you have a new repo to onboard to the platform, the tool ideally should detect the master branch by default. However, sometimes the tool fails to identify it and will never scan it unless manually somebody looks into it and fixes the issue. Although their support team is really good, this issue was present six or eight months ago during the POC and is still present now. If it is affecting multiple customers, it should be prioritized and fixed.

I would say that their integration aspects could have been improved. I see a lot of different security solutions that provide flexibility to the security teams based on Jira project, team divisions, Slack, and all those can be very much easily customized. Semgrep needs to work on the enhancement of their notification capabilities. Currently, they are working on identifying business logic vulnerabilities or privilege escalation vulnerabilities by looking at the code, and they should continue to focus on and improve this effort.

Regarding stability, whenever you have a mono-repo which is a very large repository, the scan never finishes or the scan never kicks in. At that time, you have to reach out to the support team and ask them to expand the resources in the back end to fix it. This is an issue I keep seeing often on that platform.

For how long have I used the solution?

I have been working with Semgrep on and off for almost a year, approximately six to eight months.

What do I think about the stability of the solution?

I have consistently observed that their scan time is an issue. Sometimes with their AI-based scanning, when you triage that scan, the scan never completes or finishes, which makes it difficult. Another consistent issue is that whenever you have a new repo to onboard to the platform, the tool ideally should detect the master branch by default. However, if there is no master branch or default branch, the tool fails to identify it and will never scan it unless manually somebody looks into it and fixes the issue. Although their support team is really good, this issue was present six or eight months ago during the POC and is still present now. If it is affecting multiple customers, it should be prioritized and fixed.

I would say that their integration aspects could have been improved. I see a lot of different security solutions that provide flexibility to the security teams based on Jira project, team divisions, Slack, and all those can be very much easily customized. Semgrep needs to work on the enhancement of their notification capabilities. Currently, they are working on identifying business logic vulnerabilities or privilege escalation vulnerabilities by looking at the code, and they should continue to focus on and improve this effort.

Regarding stability, whenever you have a mono-repo which is a very large repository, the scan never finishes or the scan never kicks in. At that time, you have to reach out to the support team and ask them to expand the resources in the back end to fix it. This is an issue I keep seeing often on that platform.

What do I think about the scalability of the solution?

It is very easy to scale. When you say scaling, that means the number of users or organizations you need to onboard. I was able to control it from 10 repositories or 10 services to thousands of repositories in a couple of minutes very simply. They could potentially add some enhancements, but the platform is very much easily scalable.

What other advice do I have?

You should primarily focus on what your use case is and why you are moving out. If you are moving out just from the perspective of cost, I do not think Semgrep is the best solution for you. However, if you are looking for value for investment and want to have the complete visibility into your code with less noise, if you are not just looking for a SAST but are really looking for actionable results and want to improve your developer experience and feedback, then you should go for Semgrep. In my organization, it is not only me who selects the solution; I bring in developers from junior and senior levels of all experience and ask them to take a hands-on experience and give me feedback. If you want to improve the developer experience, then go for Semgrep.

Compared to other competitors in the market, the AI-backed capability is the biggest strength of Semgrep. The seamless integration is another major advantage because I have done it for a few other solutions, some of which are extremely difficult and some are okay, but the Semgrep integration with the code repository was the smoothest. The quality of results and reduction in noise are also strengths compared to other competitors. Semgrep also has a great strength in the number of rule sets they have compared to all other vendors. While all other vendors have very limited numbers even though they claim to be enterprise, their community edition itself has close to 4,000 rules and the enterprise edition has around 20,000 rules. That is a really strong advantage.

As for limitations, I would say that Semgrep currently just supports Jira and Slack for integrations. They should expand to different integrations like ServiceNow and other CNAP and CSPM solutions where all results can be brought into one place.

I would rate this review an 8 out of 10.


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