Enveil was recently cited as a leading company in two market analysis articles featured in Verdict. The underlying data, research, and analysis used to produce the articles was provided by GlobalData, the leading provider of industry intelligence. Read both via the links below.
Cybersecurity Innovation: Leading companies in Homomorphic Encryption
The technology industry continues to be a hotbed of innovation, with activity driven by the increasing threat landscape of cyberattacks targeting encrypted data, the growing demand for secure data processing, the need to protect sensitive information from unauthorized access, the rise in cloud computing and data outsourcing, the importance of preserving privacy, and growing importance of technologies such as lattice-based cryptography, secure multi-party computation (MPC), and zero-knowledge proofs. Homographic encryption uses fully homomorphic encryption, partially homomorphic encryption and somewhat homomorphic encryption to ensure secure computations on encrypted data while maintaining confidentiality and privacy. In the last three years alone, there have been over 3.6 million patents filed and granted in the technology industry, according to GlobalData’s report on Innovation in Cybersecurity: Homomorphic encryption.
Artificial Intelligence Innovation: Machine Learning
The technology industry continues to be a hotbed of innovation, with activity driven by the rapid emergence and widespread adoption of game-changing technologies such as artificial intelligence (AI), and growing importance of technologies such as numerical methods and simulation, fractal analysis, computer simulations and data analysis, and time series analysis. The chaos model is a concept used in various fields, including mathematics, physics, and computer science, to describe complex and unpredictable systems. In the last three years alone, there have been over 3.6 million patents filed and granted in the technology industry, according to GlobalData’s report on Innovation in Artificial Intelligence: Chaos models.
