TensorFlow is an open-source machine learning software library for numerical computation using data flow graphs. It was originally developed by Google.
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Veracode
Score8.5 out of 10
Mid-Size Companies (51-1,000 employees)
Veracode provides advanced application security solutions, trusted by enterprises to develop and maintain secure software. Its platform identifies exploitable risks, speeds up vulnerability remediation, and reduces security debt at scale using a proprietary AI-assisted remediation engine.
TensorFlow is great for most deep learning purposes. This is especially true in two domains: 1. Computer vision: image classification, object detection and image generation via generative adversarial networks 2. Natural language processing: text classification and generation. The good community support often means that a lot of off-the-shelf models can be used to prove a concept or test an idea quickly. That, and Google's promotion of Colab means that ideas can be shared quite freely. Training, visualizing and debugging models is very easy in TensorFlow, compared to other platforms (especially the good old Caffe days). In terms of productionizing, it's a bit of a mixed bag. In our case, most of our feature building is performed via Apache Spark. This means having to convert Parquet (columnar optimized) files to a TensorFlow friendly format i.e., protobufs. The lack of good JVM bindings mean that our projects end up being a mix of Python and Scala. This makes it hard to reuse some of the tooling and support we wrote in Scala. This is where MXNet shines better (though its Scala API could do with more work).
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Veracode helped us our team's developers in saving time significantly. For instance, if I take a library and assume it's going to work until it reaches QA or UAT, where we find out there's a vulnerability, that can require extensive effort for code refactoring or redesigning; Veracode helps prevent that before the pull request is merged.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
It is good at recommending fixing issues with third-party dependencies used in application code with detailed version information and knowing which version fixes what.
It has a very nice interface for triaging flaws. One can sort the vulnerabilities found in code from Very Likely to be exploited to least likely to be exploited.
There is a collections feature that allows us to group together groups of application profiles belonging to the same suite of applications.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Theano is perhaps a bit faster and eats up less memory than TensorFlow on a given GPU, perhaps due to element-wise ops. Tensorflow wins for multi-GPU and “compilation” time.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
At this time, and we just renewed a month ago, I dont see any products out there overall that can offer what Veracode does. Yes, its not cheap by any means, but for the money its the best application security scanning tool out there.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
- Almost no setup required and easy to configure - Very easy to use, intuitive UI with integrated analytics and learning portals. - Seamless to review the results, triage them, generate reports. - Security progression of the product/application is tracked via successive scans. - Privileges/Roles nicely fine grained and tightly controlled to let teams "view" only their products.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Community support for TensorFlow is great. There's a huge community that truly loves the platform and there are many examples of development in TensorFlow. Often, when a new good technique is published, there will be a TensorFlow implementation not long after. This makes it quick to ally the latest techniques from academia straight to production-grade systems. Tooling around TensorFlow is also good. TensorBoard has been such a useful tool, I can't imagine how hard it would be to debug a deep neural network gone wrong without TensorBoard.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Overall, Veracode support is helpful, community support is great, and documentation is available for self-service. Our Customer Success Manager is very helpful and reaches out regularly to see if we need assistance. We have not utilized many of the other resources offered by Veracode, however, in the future we would like to leverage secure coding training for our Development teams.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We use it as a SAS service, so really just getting our teams to mold the use of Veracode into their SDLC has been a process of years in the making. It comes down to what your teams are ready and willing to accept and change. Management is key in getting their groups on board with using it regularly. If it doesnt have management backing, your security teams have little to no influence in getting this process off the ground fully.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Keras is built on top of TensorFlow, but it is much simpler to use and more Python style friendly, so if you don't want to focus on too many details or control and not focus on some advanced features, Keras is one of the best options, but as far as if you want to dig into more, for sure TensorFlow is the right choice
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Veracode is slower with scan results however the flaws discovered and sites crawled are almost the same. Rapid7 InsightAppSec only does dynamic scans. Veracode did find more links on a site crawl. Rapid7 InsightAppSec has more out of the box reports than Veracode. Both integration to DevOps tools were striaghtforward.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Positive: Scanning all our applications on Veracode provides us an overview of our cyber security posture for the organization as a whole.
Positive: Performing the SAST, SCA and DAST scanning for all the applications at the early stages of the SDLC helps us identify and mitigate security vulnerabilities early, reducing the risk of data breaches and cyber-attacks.
Negative: Sometimes Veracode SAST scanner closed and reopens some findings, leading to reliability issues on the scanner itself.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
