AI & Emerging Technologies

High CPU/GPU Requirements – Be aware that your VM has sufficient resources i.e. to avoid bottlenecks. CPU, GPU, and memory, to perform resource-intensive functions – AI workloads can demand dynamic scaling of resources, especially for cloud-based VMsNetwork Latency – If large datasets stored in multiple locations, network latency can become a significant performance bottleneck.Cost Management […]

Proactive Threat Detection – AI identifies potential threats before they can cause any damage – Technically, AI doesn’t sleep – it monitors systems 24/7, identifying even smallest anomalies. It analyzes vast amounts of data in seconds, reducing time to detect & mitigate risksPersonalized Defense Mechanisms – AI adapts to specific needs of an Org., provides

Automation – AI has significantly automated routine & repetitive coding tasks, allowing Dev to focus on complex & creative aspects of software development. For example, AI-powered tools, i.e. GitHub Copilot & Tabnine offer code suggestions & help with boilerplate code generation.Debugging & Code Review – AI transforms the way code is reviewed & debugged with

Anomaly Detection – AI can analyze large volumes of VPN traffic & identify patterns of normal activity. When deviations from these patterns occur, i.e. unusual login times, locations, or data transfer volumes, AI systems can flag and or block potentially malicious activities in real time. Machine learning models can predict threats based on historical dataSelf-Healing