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 […]
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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
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Total Reliance on AI – Relying solely on AI for threat detection can lead to complacency. AI systems might miss novel threats or sophisticated attacks.False Sense of Security and Blind Spots – AI systems are typically trained on historical data. If attackers use new methods not included in ‘training data’, AI might fail to recognize
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