AI Has Led To Industrialisation Of Cybercrime, Says Indian Cybercrime Coordination Centre CEO Rajesh Kumar

Essential brief

Key facts

AI has enabled the automation and industrialisation of cybercrime, increasing the scale and sophistication of attacks.

Organised cybercriminal groups now operate with enterprise-like efficiency using AI tools.

AI-driven attacks are widespread across multiple sectors, including critical infrastructure and finance.

Defensive cybersecurity strategies must evolve to incorporate AI-powered detection and response mechanisms.

Global collaboration and policy development are essential to counter the growing threat of AI-enabled cybercrime.

Highlights

AI has enabled the automation and industrialisation of cybercrime, increasing the scale and sophistication of attacks.

Organised cybercriminal groups now operate with enterprise-like efficiency using AI tools.

AI-driven attacks are widespread across multiple sectors, including critical infrastructure and finance.

Defensive cybersecurity strategies must evolve to incorporate AI-powered detection and response mechanisms.

The rise of artificial intelligence (AI) has significantly transformed the landscape of cybercrime, ushering in an era of industrialised and automated attacks. Rajesh Kumar, CEO of the Indian Cybercrime Coordination Centre, highlighted this trend during his address at the Global CyberPeace Summit 2026. He pointed out that cyber attacks between 2024 and 2025 have increasingly incorporated AI technologies, enabling organised crime groups to execute sophisticated and large-scale operations with greater efficiency.

Kumar explained that AI's integration into cybercrime has automated many processes that were previously manual, such as phishing, malware deployment, and network infiltration. This automation allows cybercriminals to scale their attacks rapidly, targeting multiple victims simultaneously with minimal human intervention. The use of AI tools has also enhanced the precision of these attacks, making them harder to detect and mitigate by traditional cybersecurity measures.

The industrialisation of cybercrime means that cybercriminal organisations now operate more like legitimate enterprises, employing advanced technologies and structured workflows. This shift has increased the volume and complexity of cyber threats, posing significant challenges for law enforcement and cybersecurity professionals. Kumar emphasized the need for coordinated efforts and advanced defensive strategies to counter these evolving threats effectively.

Furthermore, Kumar noted that AI-driven cyber attacks are not limited to any single sector but span across critical infrastructure, financial services, healthcare, and government systems. The widespread adoption of AI by attackers necessitates a parallel advancement in AI-powered cybersecurity solutions. This includes leveraging machine learning for threat detection, automated incident response, and predictive analytics to anticipate potential attacks.

The implications of AI-enabled cybercrime extend beyond immediate financial or data losses. They threaten national security, disrupt essential services, and undermine public trust in digital systems. Kumar's insights underscore the urgency for global collaboration, policy development, and investment in cybersecurity research to stay ahead of these technologically empowered adversaries.

In conclusion, the industrialisation of cybercrime driven by AI marks a pivotal shift in the cyber threat landscape. It demands a comprehensive and adaptive approach to cybersecurity, combining technological innovation, regulatory frameworks, and international cooperation to safeguard digital ecosystems in an increasingly connected world.