AI-Generated Cyber Threats the Rise of Autonomous Hacking Systems

In today's technological landscape, artificial intelligence (AI) has become prominent in various fields, including cyber security.While AI has strengthened security measures and protected networks, hackers increasingly target AI-generated cyber threats and autonomous hacking systems.This shift has made it more challenging for traditional defences to remain effective, as attackers utilize AI to launch and execute cyber-attacks and identify vulnerabilities to exploit.This work aims to describe how AI has evolved in the context of cyber threats and what types of hacking an AI system can perform autonomously while exploring the potential of AI in cyber security.Additionally, it analyses the ethical dimensions surrounding AI as a double-edged tool and examines some defence strategies that can be implemented against AI-driven attacks.Cyber security professionals are better positioned to develop systems to combat autonomous hacking by understanding the current risks and potential mitigation measures. I. INTRODUCTIONArtificial intelligence in cyber security has been a double-edged sword, improving security while posing a threat to the entire system.Cognitive cyber threats represent a significant advancement over routine and iterative threats.They employ artificial intelligence, automation, deep learning, and natural language processing to carry out attacks almost independently.These systems perform reconnaissance and vulnerability assessments, develop malware, and select attack techniques autonomously and automatically.Initially, the threats were exclusively computer concerns, meaning that the attacks on the systems, vulnerabilities needed someone to type them manually.Nevertheless, new tools have emerged through Artificial Intelligence making hacking easy, faster and even smarter thereby increasing the daily threats in the cyber world.AI is used in cyber warfare in various ways, such as in deep fake technology, AI-generated phishing campaigns, and botnets for exploiting the discovered vulnerability.The usage of the generative AI models fuels this trend even more as hackers are now capable of developing invisible viruses and modulating virtual spaces.This paper examines the future of AI-created threats.It highlights the general concept of autonomous hacking systems, their functioning, their impact on cyber security, and the difficulties of protecting against such threats.It also discusses current and emerging countermeasures that may contain AI attacks, such as AI-secured cyber security, ethical standards for managing AI, and legislation proposed for AI cyber threats.Understanding the changing AI threats scenario is essential in designing a security strategy and protecting future attacks on digital structures.

Publication Details

Journal
IJARCCE
Published
2024-12-20
DOI
https://doi.org/10.17148/ijarcce.2024.131263
Citations
2
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
0.70
Controls
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article

AI-Generated Cyber Threats the Rise of Autonomous Hacking Systems

2 citations
IJARCCE
Advanced Malware Detection Techniques
0.70
article

AI-Generated Cyber Threats the Rise of Autonomous Hacking Systems

article en
2 citations

Abstract

In today's technological landscape, artificial intelligence (AI) has become prominent in various fields, including cyber security.While AI has strengthened security measures and protected networks, hackers increasingly target AI-generated cyber threats and autonomous hacking systems.This shift has made it more challenging for traditional defences to remain effective, as attackers utilize AI to launch and execute cyber-attacks and identify vulnerabilities to exploit.This work aims to describe how AI has evolved in the context of cyber threats and what types of hacking an AI system can perform autonomously while exploring the potential of AI in cyber security.Additionally, it analyses the ethical dimensions surrounding AI as a double-edged tool and examines some defence strategies that can be implemented against AI-driven attacks.Cyber security professionals are better positioned to develop systems to combat autonomous hacking by understanding the current risks and potential mitigation measures. I. INTRODUCTIONArtificial intelligence in cyber security has been a double-edged sword, improving security while posing a threat to the entire system.Cognitive cyber threats represent a significant advancement over routine and iterative threats.They employ artificial intelligence, automation, deep learning, and natural language processing to carry out attacks almost independently.These systems perform reconnaissance and vulnerability assessments, develop malware, and select attack techniques autonomously and automatically.Initially, the threats were exclusively computer concerns, meaning that the attacks on the systems, vulnerabilities needed someone to type them manually.Nevertheless, new tools have emerged through Artificial Intelligence making hacking easy, faster and even smarter thereby increasing the daily threats in the cyber world.AI is used in cyber warfare in various ways, such as in deep fake technology, AI-generated phishing campaigns, and botnets for exploiting the discovered vulnerability.The usage of the generative AI models fuels this trend even more as hackers are now capable of developing invisible viruses and modulating virtual spaces.This paper examines the future of AI-created threats.It highlights the general concept of autonomous hacking systems, their functioning, their impact on cyber security, and the difficulties of protecting against such threats.It also discusses current and emerging countermeasures that may contain AI attacks, such as AI-secured cyber security, ethical standards for managing AI, and legislation proposed for AI cyber threats.Understanding the changing AI threats scenario is essential in designing a security strategy and protecting future attacks on digital structures.

IJARCCEVol. 13(12)
Openalex Percentile: Top 28%
Advanced Malware Detection Techniques
0.70
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