AI is closing the gap between organisations and cybercriminals via perimeter-based protection
Zero Trust principles allow organisations to use AI's benefits while protecting data integrity
Increasing cybercrime costs and numbers have led organizations to use AI to modernize cybersecurity and protect themselves
To improve the efficiency and value of their operations, businesses are turning to artificial intelligence (AI), machine learning (ML), and large language models (LLM)
Large volumes of data are produced by the application of AI, including proprietary models and algorithms that might contain crucial organizational and consumer data
An LLM is an AI method that processes and generalizes big datasets using deep learning techniques
In order to implement Zero Trust principles, traditional perimeter-based network security solutions must give way to a microsegmented, data-centric design
AI and Zero Trust provide near-real-time analysis of vast amounts of data, automating security processes and reducing an organization's threat surface