"The Delphix platform from Perforce is already widely used by application testing teams to replace sensitive data with synthetic data that is realistic enough to be used to test applications that will be deployed, for example, in a specific vertical industry or geography. The AI capabilities being added to the Delphix platform make it possible to now automate that process without requiring DevOps teams to build that capability themselves, said Karam."
"Once added to the Delphix DevOps Data Platform, it then becomes possible for DevOps teams to safely test applications using synthetic data that closely resembles the data that would otherwise need to be exposed to enable application developers to build and test an application, noted Karam. That approach also makes it possible for many organizations operating in highly-regulated industries to apply AI to testing in even air-gapped IT environments without running afoul of compliance mandates, he added."
Perforce added AI capabilities to the Delphix platform to create synthetic data for application testing using an on-premises small language model (SLM). The Delphix SLM is trained to use data masking techniques to generate synthetic datasets that preserve realism while preventing exposure of sensitive information to DevOps teams. The SLM is based on the open-source Llama LLM project. The AI integration enables secure testing in air-gapped and regulated environments without connecting to external large language models. The platform automates synthetic data generation, reducing the need for DevOps teams to build masking and synthesis capabilities themselves. Plans include adding AI discovery tools to locate sensitive data.
Read at DevOps.com
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