Data Safeguard launches project Optimus prime
Data Safeguard launches project Optimus Prime to expand CCE (AllSpark) to solve newer global data privacy compliance and synthetic fraud challenges
Santa Clara, Calif. – October 11, 2021 – Data Safeguard’s Cognitive Computing Engine(CCE)™, a combination AI models and algorithms to simulate human cognition in situations that empowers the engine to solve most complex use cases using speed, efficiency, and accuracy.
Currently, personally identifiable information (PII) is being breached at a rate of greater than 50 thousand records per day on cloud-based services such as SaaS, CaaS, and email servers. There is such vulnerability to PII today, according to the C-SPAN recordings of “Federal Cyber Officials Testify on Cybersecurity” dated September 23, 2021, that Cybersecurity and Infrastructure Security Agency (CISA), FBI, and NSA are releasing guided advisory to help organizations reduce risk of PII breaches.
At Data Safeguard, we are continuously inventing the future of assured global data privacy and fraud prevention by ensuring the proper handling of sensitive and personal data to stop unwanted proliferation of PII data.
“CCE is at the heart of everything we build and imagine here at Data Safeguard,” said LeeNocon, CTO at Data Safeguard Inc. CCE is our ‘AllSpark’ that drives to solve problems tocomplex issues that are not humanly possible and motivates us to develop disruptiveproducts while innovating for a better tomorrow.”
CCE is a proprietary AI engine, that truly understands unstructured, structured, and semi structured data. CCE quickly, efficiently and with hyper-accuracy navigates through the chaos of a complex data ecosystem. As the CCE and weightage rules engine make sense of the source data, the company’s “secret sauce” is applied to help enterprises safe guard their data while ensuring compliance with GDPR, HIPAA, CCPA, NIST, and ISO 270001, as well as synthetic fraud prevention.
Stay tuned to learn how Data Safeguard’s CCE will forestall the hackers and fraudsters to reduce M&A fraud, Trading fraud, Investment fraud, Credit card fraud, Payment fraud, Insurance fraud, and Medical fraud. Provide better medical solutions with health analytics and solve cold cases with cutting-edge genomics, and clinical diagnosis for personalized treatment. Improve Customer experience, interaction, and loyalty for a better experience in the retail world.