Artificial Intelligence and Cybersecurity: Navigating the New Frontier in Digital Security

Artificial Intelligence and Cybersecurity

Artificial Intelligence (AI) and cybersecurity are increasingly interconnected, significantly impacting technology and information security. AI has gained traction in recent years, enabling intelligent and automated decision-making in various implementation scenarios, including cybersecurity. It can be a powerful tool for cybersecurity but also presents new and sometimes unpredictable risks.

In conclusion, the collaboration between AI and cybersecurity can lead to greater protection of personal data and user integrity, helping to prevent cyberattacks and reduce their impact on users and information systems.

AI is influencing people's daily lives and playing a key role in digital transformation through its automated decision-making capabilities. The benefits of this emerging technology are significant, but there are also concerns regarding the security and reliability of AI implementations. Therefore, securing AI itself is essential, including understanding what needs to be protected, such as assets that are subject to specific AI and adversarial model threats.

The collaboration between AI and cybersecurity has led to significant achievements in the field, including detecting and preventing cyberattacks, improving application security, developing more secure authentication solutions, identifying cybersecurity threats, and analyzing security data. Well-known cybersecurity tools that use AI include Darktrace, IBM Watson for Cybersecurity, Cylance, and McAfee.

There are three main dimensions to the relationship between AI and cybersecurity

Cybersecurity for AI: This includes protecting the robustness and securing AI models and algorithms, such as attacks against AI-powered cyber-physical systems, manipulation of data used in AI systems, and data poisoning.

 AI to Support Cybersecurity: AI can be used to create advanced cybersecurity, developing more effective security controls, such as active firewalls, intelligent antivirus, and automated malware analysis.

Malicious Use of AI: This involves using AI to create more sophisticated types of attacks, such as AI-based malware and advanced social engineering.

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