The Rendered.ai team is thrilled to share that our partner, Quadridox, along with Iconal and SureScan as part of a DfT-funded effort, is working to develop and validate the use of physics-based synthetic data in enabling security operators to detect current and emerging threats quicker and more effectively.
Read the full press release with Quadridox.
Engineered or synthetic data is produced by either resampling from existing datasets or by simulating sensor-based data collection in digitally modeled scenarios.
Synthetic data has the potential to be used to assess and validate AI and ML algorithm performance and requires independent validation to become a trusted and valuable tool. The Quadridox, Iconal, and SureScan effort is another important project that helps demonstrate synthetic data’s applicability!
Contact us to learn more about Rendered.ai and how our platform can be used to implement synthetic data as a capability for enterprise AI workflows.
