GitHub Advanced Security vs Polyspace Code Prover comparison

GitHub Advanced Security vs. Polyspace Code Prover

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

GitHub Advanced Security

Ranking in Application Security Tools

11th

Average Rating

8.6

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Polyspace Code Prover

Ranking in Application Security Tools

26th

Average Rating

7.2

Reviews Sentiment

2.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2026, in the Application Security Tools category, the mindshare of GitHub Advanced Security is 3.9%, down from 8.0% compared to the previous year. The mindshare of Polyspace Code Prover is 1.3%, up from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Security Tools Mindshare Distribution
Product	Mindshare (%)
GitHub Advanced Security	3.9%
Polyspace Code Prover	1.3%
Other	94.8%

Application Security Tools

Featured Reviews

Devendiran Kandan

DevOps Engineer at a tech vendor with 1,001-5,000 employees

Security scanning has protected our pipelines but currently needs clearer dashboards and controls

We used additional third-party solutions, but we replaced them with GitHub Advanced Security, even though I do not have a very good opinion about GitHub Advanced Security. Even though it is an inline product, I'm not seeing user-friendly things in GitHub Advanced Security. Dependent bots and the secret detection are good compared to others. However, code scanning is not finding very good results based on pipeline where it will scan and do code scanning. While build, before building and deploying the code, we want to block or do an advanced model, but it is not supporting. During deployment, code scanning is not good. It is a little complicated. It is not a straightforward method we can complete. We need expertise to get the full benefit, and troubleshooting sometimes requires going through that. The security overview dashboard is not really clear. It's not showing centralized information; each repo is showing, but if you compare it with competitors, it is not that great. Mainly in the centralized dashboard, enterprise level needs to improve. A centralized way where we can get that overall view is needed, and we want that code scanning and blocking deployments based on security. There are AI improvements, but however, it is not so easy to configure. It is multiple windows we need to go through and make changes or configure that. A few things we need to enable going into settings, and a few things we can find out in security. One product where security means the security dashboard should cover everything, but it is going here and there in many places.

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reviewer2760282

General Manager at a manufacturing company with 10,001+ employees

Has struggled with performance and integration but supports critical safety verification

Execution speed of the tests and generally the integration into AWS-driven CI work chains or workflows represent how it can be improved in my opinion. Performance issues plus license costs are two main driving factors. The CI environments that we use employ up to around 40,000 virtual CPUs per day in peak, running at the same time. We always have problems distributing licenses accordingly with other products. I can talk to the experts doing the integration, but as far as I know, I was involved with Polyspace Code Prover and we had a lot of difficulties integrating it into our Bazel-driven CI toolchain, plus integrating it on the AWS environments in Linux that we use. It was much more straightforward using Code Sonar there. The reason is the execution speed, integration with Azure and stuff, and pricing. The CI integration and maybe a better-suited license model for CI-driven execution are other areas I recommend improving. That's something we discussed with all of the software companies whose products we use, such as compilers. We have a lot of parallel builds, and each call to a license server is actually problematic in the long run.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The best features of GitHub Advanced Security are its flexibility and the multiple options it has compared to other tools."

"Dependency scanning is a valuable feature."

"GitHub provides advanced security, which is why the customers choose this tool; it allows them to rely solely on GitHub as one platform for everything they need."

"GitHub Advanced Security's secret scanning is good."

"The initial setup was straightforward and completed in a matter of minutes."

"GitHub Advanced Security uses artificial intelligence in the backend, specifically CodeQL, to analyze code and provide fewer but more reliable findings, so there are less false positives."

"It is a stable solution...It is a scalable solution as it can handle new applications along with the analysis part."

"It ensures user passwords or sensitive information are not accidentally exposed in code or reports."

More GitHub Advanced Security pros

"The outputs are very reliable."

"Efficiency and speed are the advantages I see in Code Sonar over Polyspace Code Prover."

"Polyspace Code Prover has made me realize it differs from other static code analysis tools because it runs the code. So it's quite distinct in that aspect."

"Polyspace Code Prover is a very user-friendly tool."

"The product detects memory corruptions."

"When we work on safety modules, it is mandatory to fulfill ISO 26262 compliance. Using Prover helps fulfill the standard on top of many other quality checks, like division by zero, data type casts, and null pointer dereferences."

Cons

"We used additional third-party solutions, but we replaced them with GitHub Advanced Security, even though I do not have a very good opinion about GitHub Advanced Security."

"The reporting feature might need improvement. While it integrates seamlessly with my workflow, it doesn't provide management with oversight, such as statistics and the number of vulnerabilities."

"Maybe make it compatible with more programming languages. Have a customized ruleset where the end-user can create their own rules for scanning."

"An area of GitHub Advanced Security that has room for improvement is customization."

"Open-source security vulnerabilities are not getting updated in a timely manner."

"GitHub Advanced Security should look into API security issues, which they currently do not. Additionally, open-source security vulnerabilities are not getting updated in a timely manner."

"The deployment part of the product is an area of concern that needs to be made easier from an improvement perspective."

"The customizations are a little bit difficult."

More GitHub Advanced Security cons

"Using Code Prover on large applications crashes sometimes."

"The tool has some stability issues."

"Because we had difficulties in efficiently integrating Polyspace Code Prover into our CI toolchain, these tests are mostly run manually and only occasionally."

"One of the main disadvantages is the time it takes to initiate the first run."

"I'd like the data to be taken from any format."

"Automation could be a challenge."

Pricing and Cost Advice

"The current licensing model, which relies on active commitments, poses challenges, particularly in predicting and managing growth."

"The solution is expensive."

"We use the paid version."

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885,444 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

10%

Manufacturing Company

Government

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	1
Midsize Enterprise	4
Large Enterprise	7

By reviewers
Company Size	Count
Midsize Enterprise	1
Large Enterprise	6

Questions from the Community

What needs improvement with GitHub Advanced Security?

What is your primary use case for GitHub Advanced Security?

I'm working with software development nowadays. As a process, we are using the dependent bot alerts and the code scanning for Java, and some of the code scanning is happening. Security secrets in c...

What advice do you have for others considering GitHub Advanced Security?

Dependent bots and the secret detection are good compared to others. However, code scanning is not finding very good results based on pipeline where it will scan and do code scanning. While build, ...

What needs improvement with Polyspace Code Prover?

What is your primary use case for Polyspace Code Prover?

It is validation for Functional Safety applications in automotive.

What advice do you have for others considering Polyspace Code Prover?

We are actually trying to consolidate everything into one solution. To reduce, that might also be a new solution, but we're not currently actively looking for that. It's just that we'd prefer to fi...

SonarQube vs GitHub Advanced Security

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Compared 12% of the time

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Compared 10% of the time

Checkmarx One vs GitHub Advanced Security

Compared 7% of the time

Mend.io vs GitHub Advanced Security

Compared 5% of the time

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Coverity Static vs Polyspace Code Prover

Compared 18% of the time

SonarQube vs Polyspace Code Prover

Compared 14% of the time

Klocwork vs Polyspace Code Prover

Compared 12% of the time

CodeSonar vs Polyspace Code Prover

Compared 8% of the time

OpenText Core Application Security vs Polyspace Code Prover

Compared 6% of the time

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Product Reports

GitHub Advanced Security

Download GitHub Advanced Security product report

Polyspace Code Prover

Download Polyspace Code Prover product report

Overview

GitHub Advanced Security secures data by scanning for vulnerabilities in dependencies, secret scanning, and protecting sensitive information. It integrates seamlessly, reducing reliance on multiple tools and optimizing vulnerability detection.

GitHub Advanced Security is designed to enhance security awareness by offering comprehensive tools for secret scanning, code analysis, and SCSS dependency checks. AI-driven features deliver accurate security insights while minimizing false positives. It provides valuable integration with Azure DevOps, maintaining control within dashboards and enabling external systems' support through APIs. With CodeQL, users can perform custom queries across projects. Propelled by Microsoft, the platform enhances operational frameworks with essential security features, although improvements are needed in dashboard consolidation, reporting, and integration mechanisms. Users seek better customizability, language support, and training resources to ensure smoother implementation.

What are the key features of GitHub Advanced Security?

Security and Dependency Scanning: Identifies vulnerabilities in code and dependencies.
Secret Scanning: Detects sensitive information exposure.
Cost-effectiveness: Reduces the need for multiple security tools.
Developer Experience: Integrates seamlessly with development environments.
Extensibility: Custom queries via CodeQL and integration support.

What benefits and ROI can users expect?

Improved Security Posture: Enhanced visibility reduces risk.
Operational Efficiency: Streamlines processes with fewer tools.
Actionable Insights: AI-driven analysis provides clear guidance.
Enhanced Collaboration: Facilitates team integration through shared dashboards.

Industries implement GitHub Advanced Security to maintain robust security standards. It is favored by technology sectors seeking seamless integration with Azure DevOps and looking for customizable security tools tailored to project needs. Financial institutions value its accurate threat detection and compliance support, while enterprises focus on its comprehensive dependency scanning and code analysis capabilities to safeguard critical assets. The adaptability of GitHub Advanced Security across different operational environments illustrates its practical benefits.

GitHub

Polyspace Code Prover is a sound static analysis tool that proves the absence of overflow, divide-by-zero, out-of-bounds array access, and certain other run-time errors in C and C++ source code. It produces results without requiring program execution, code instrumentation, or test cases. Polyspace Code Prover uses semantic analysis and abstract interpretation based on formal methods to verify software interprocedural, control, and data flow behavior. You can use it on handwritten code, generated code, or a combination of the two. Each operation is color-coded to indicate whether it is free of run-time errors, proven to fail, unreachable, or unproven.

MathWorks

Sample Customers

Information Not Available

Alenia Aermacchi, CSEE Transport, Delphi Diesel Systems, EADS, Institute for Radiological Protection and Nuclear Safety, Korean Air, KOSTAL, Miracor, NASA Ames Research Center

GitHub Advanced Security vs. Polyspace Code Prover