Generative artificial intelligence is leading to significant changes across various sectors. McKinsey & Company forecasts generative AI’s economic impact could contribute an annual addition of $2.6 trillion to $4.4 trillion to worldwide corporate profits.

The security paradigm in AI is evolving rapidly with the increasing importance of large language models and the changing infrastructure, according to Neil Serebryany (pictured), founder and chief executive officer of CalypsoAI Corp. Leveraging generative AI is surpassing the trend of building foundation models, leading to questions about access control, policy-based management and input-output security control.

“It’s become easier and easier for anyone and everyone inside an enterprise to use generative models,” Serebryany said. “What ends up becoming more and more important as you have more and more models is how you control how those models are orchestrated, how you control how those models are used and how you control the input and output data.”

Serebryany spoke with theCUBE Research analysts John Furrier and Dave Vellante at the “Supercloud 6: AI Innovators” event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how AI innovators such as CalypsoAI are working to address the challenges of security, access and orchestration in the development of generative AI models.

Generative AI economic impact and CalypsoAI’s solution

CalypsoAI is an agnostic platform that supports the use and orchestration of multiple models for different tasks. Compound models, along with access to information sources, help solve the challenge of managing and avoiding hallucinations in AI, according to Serebryany.

“We are completely agnostic because we believe that, ultimately, the enterprise should make a decision about the best model for a task,” he said. “There is greater variance in terms of what model is the best model for a task. So, for us, what it really comes down to is, one, being completely agnostic. Two, being there in the input and the output side of the house. Then, three, supporting the use of multiple models and the orchestration of multiple models.”

CalypsoAI’s vision is to enable every enterprise to build on top of generative AI, providing an orchestration and security platform for model management and orchestration controls, Serebryany explained. Generative AI models are creating a loop of false information, and solutions such as Calypso AI are necessary to verify the trustworthiness of information.

Furthermore, while explainable AI is not possible from a scientific perspective, the societal understanding of generative AI will evolve over time. CalypsoAI is looking to secure and enable enterprises using generative AI, Serebryany added.

“Solutions like ours are a key part of being able to actually verify whether information is trustworthy or not,” he said. “We actually have a feature that allows enterprises to, as they get responses from generative AI models, verify if a response is true or not true and build their own internal taxonomy of trustworthy information on the generative AI side of the house.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE Research’s coverage of the “Supercloud 6: AI Innovators” event:

Photo: SiliconANGLE