Mend.io and Polyspace Code Prover are competing products in the software assurance domain. Mend.io has the upper hand in pricing and support, while Polyspace Code Prover is favored for its robust feature set despite a higher cost.
Features: Mend.io is known for strong integration capabilities, extensive reporting tools, and flexible workflows. Polyspace Code Prover is recognized for detection accuracy, specialized analysis, and precision in safety-critical environments.
Room for Improvement: Mend.io could enhance real-time analysis, performance speed, and usability. Polyspace Code Prover could benefit from streamlined updates, improved cross-compatibility, and initial deployment simplicity.
Ease of Deployment and Customer Service: Mend.io deployment is simple with swift integration, and its customer service is well-rated with suggestions for quicker responses. Polyspace Code Prover has a complex setup but offers strong technical support with recommendations for simplifying initial steps.
Pricing and ROI: Mend.io provides competitive pricing and good ROI, appealing to cost-efficient teams. Polyspace Code Prover's higher cost is justified by its advanced analytical features, aligning long-term benefits with the investment.
Mend.io is a software composition analysis tool that secures what developers create. The solution provides an automated reduction of the software attack surface, reduces developer burdens, and accelerates app delivery. Mend.io provides open-source analysis with its in-house and other multiple sources of software vulnerabilities. In addition, the solution offers license and policy violation alerts, has great pipeline integration, and, since it is a SaaS (software as a service), it doesn’t require you to physically maintain servers or data centers for any implementation. Not only does Mend.io reduce enterprise application security risk, it also helps developers meet deadlines faster.
Mend.io Features
Mend.io has many valuable key features. Some of the most useful ones include:
Mend.io Benefits
There are many benefits to implementing Mend.io. Some of the biggest advantages the solution offers include:
Reviews from Real Users
Below are some reviews and helpful feedback written by PeerSpot users currently using the Mend.io solution.
Jeffrey H., System Manager of Cloud Engineering at Common Spirit, says, “Finding vulnerabilities is pretty easy. Mend.io (formerly WhiteSource) does a great job of that and we had quite a few when we first put this in place. Mend.io does a very good job of finding the open-source, checking the versions, and making sure they're secure. They notify us of critical high, medium, and low impacts, and if anything is wrong. We find the product very easy to use and we use it as a core part of our strategy for scanning product code moving toward release.”
PeerSpot reviewer Ben D., Head of Software Engineering at a legal firm, mentions, “The way WhiteSource scans the code is great. It’s easy to identify and remediate open source vulnerabilities using this solution. WhiteSource helped reduce our mean time to resolution since we adopted the product. In terms of integration, it's pretty easy.”
An IT Service Manager at a wholesaler/distributor comments, “Mend.io provides threat detection and an excellent UI in a highly stable solution, with outstanding technical support.”
Another reviewer, Kevin D., Intramural OfficialIntramural at Northeastern University, states, "The vulnerability analysis is the best aspect of the solution."
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.
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