AI/ ML in Cybersecurity: Benefits & Concerns
AI and ML enhance threat detection, improve incident response, and increase efficiency, but also carry risks and ethical considerations in cybersecurity
Digitalization | Cybersecurity | ESG | AI | DLT
Digitalization | Cybersecurity | ESG | AI | DLT
AI and ML enhance threat detection, improve incident response, and increase efficiency, but also carry risks and ethical considerations in cybersecurity
The recent leak of classified Pentagon (USA) documents could have been avoided if an information security frameworks based on ISO 27001 was implemented.
AI-enabled no-code, low-code platforms are playing a key role in digital transformation and its market size is expected to reach $257.9 billion by 2026
Elon Musk and some tech leaders warn AI poses ‘profound risks’. to what extent are these warnings valid and do they hold any merit?
According to a recent study, by 2027, 85% of the hosting solutions available today will no longer be optimal due to changing requirements
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Climate risk is one of the most significant challenges facing our world today. Climate change has sever impacts the economy, society, and environment.
Quantum computing can optimize investment portfolios via quantum machine learning algorithms like QVE. While challenging, the potential benefits are immense.