An open-source end-to-end GenAI platform for air-gapped, on-premises or cloud VPC deployments. Users can Query and summarize documents or just chat with local private GPT LLMs using h2oGPT, an Apache V2 open-source project. And the commercially available Enterprise h2oGPTe provides information retrieval on internal data, privately hosts LLMs, and secures data.
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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.
Most suited if in little time you wanted to build and train a model. Then, H2O makes life very simple. It has support with R, Python and Java, so no programming dependency is required to use it. It's very simple to use. If you want to modify or tweak your ML algorithm then H2O is not suitable. You can't develop a model from scratch.
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
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
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
- 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
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
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
Both are open source (though H2O only up to some level). Both comprise of deep learning, but H2O is not focused directly on deep learning, while Tensor Flow has a "laser" focus on deep learning. H2O is also more focused on scalability. H2O should be looked at not as a competitor but rather a complementary tool. The use case is usually not only about the algorithms, but also about the data model and data logistics and accessibility. H2O is more accessible due to its UI. Also, both can be accessed from Python. The community around TensorFlow seems larger than that of H2O.
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
Positive impact: saving in infrastructure expenses - compared to other bulky tools this costs a fraction
Positive impact: ability to get quick fixes from H2O when problems arise - compared to waiting for several months/years for new releases from other vendors
Positive impact: Access to H2O core team and able to get features that are needed for our business quickly added to the core H2O product
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
