Aurascape closes AI security gaps created by traditional security. Aurascape extends organizations' security architecture to detect, analyze, and control AI use to prevent the loss of sensitive data or the insertion of threats.
N/A
CloudFactory
Score 0.0 out of 10
N/A
CloudFactory, now headquartered in Reading, offers workforce management outsourcing, providing document processing and data entry.
N/A
IBM watsonx.governance
Score 8.7 out of 10
N/A
The more AI is embedded into daily workflows, the more proactive governance is required to drive responsible, ethical decisions across the business. Watsonx.governance is used to direct, manage, and monitor an organization’s AI activities, and employs software automation to strengthen the user's ability to mitigate risk, manage regulatory requirements and address ethical concerns without the excessive costs of switching data science platforms—even for models developed using third-party tools.
Market leader in AI Governance, Strong GRC solution using IBM OpenPage and watsonx.governance. The product has the key ingredient as follows, OOTB evaluators, custom evaluators, LLM as a judge, simple workflow (though needs to create DPT using templates) and integration with …
IBM watsonx.governance is best at technical and model-level assurance. However, Credo AI is best at governance program operations, policies and registries. Holistic AI is best at end-to-end AI governance program and compliance readiness.
With its smooth integrations with different AI models and strong compliance tools, IBM watsonx.governance leads in comprehensive data governance. IBM watsonx.governance provides a well-balanced combination of governance, compliance, and integration capabilities in contrast to …
IBM watsonx.governance works well with other IBM tools already in use by our organization. It excels in data insights and handling of data. It helps automate and document model experiments effectively and provides traceability to explain model output.
We have been able to make the right decisions based on performance metrics. Data assets across the enterprise have experienced significant growth from comprehensive audits that drive quality growth. The platform has filtered out poorly analyzed data from the workflow chain and introduced stable control mechanisms that meet compliance policies.
A very effective tool that tries to do a lot of things in the AI model development pipeline. While it works for most simple use cases, it can get trickier to configure it for more complex models using reinforcement learning or time series etc. Also as the tool is new and less that a year old -there is not an active community of users to collaborate and help with issues
With its smooth integrations with different AI models and strong compliance tools, IBM watsonx.governance leads in comprehensive data governance. IBM watsonx.governance provides a well-balanced combination of governance, compliance, and integration capabilities in contrast to Dataiku, which concentrates more on data science workflows, and Holistic AI, which stresses AI ethics and risk management. That was my choice because of its robust integration features and comprehensive approach.
It has massively cut down the time our compliance teams spent on preparing compliance packs for EU emissions report. We're talking 4 weeks of manual tracing and spreadsheet validations to just under 3 days now!
IBM watsonx.governance flags anomalies in shipping data 2 weeks earlier than our older system, saving us thousands by renegotiating contracts before spot prices rise