February 7, 2025
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Law News Update

Enhancing security for AI and the cloud: Your top protection against online threats

With the evolution of cyber threats, cloud and AI environments have become primary targets for attacks. It is now essential for survival to strengthen security, rather than just an option.

The advancement of cloud computing and AI technologies drives worldwide tech development, but also leads to rising cybersecurity issues. As these technologies become more embedded in commercial enterprises, governmental services, and everyday activities, they naturally draw the interest of cybercriminals. In both India and the US, major players in the global tech landscape are facing an urgent need for enhanced security measures in their cloud and AI domains due to rapid digital transformation. When cybercrime is not addressed, there is a risk to national security, economic stability, and public confidence in digital systems.

The Increasing Menace of Online Criminal Activity

With the provision of flexible systems, scalable capabilities, and improved operational performance, Cloud computing and AI are bringing about revolutionary changes in industries. While these technologies offer new opportunities, they also bring security risks as attackers take advantage of vulnerabilities in cloud systems and manipulate artificial intelligence to steal data or interfere with operations.

The increasing use of cloud services by Indian organisations and government bodies has resulted in a security breach, leading to a rise in attacks. Healthcare organisations that utilize AI systems for diagnostics in conjunction with medical records are particularly vulnerable to ransomware attacks and potential breaches. Fraud can occur due to manipulation of AI models used in finance, as they are vulnerable to such actions.

The frequency of cyberattacks on AI systems and critical infrastructure across the US is rising. As hackers focus on vulnerabilities in artificial intelligence models, adversarial machine learning remains an increasingly serious threat to AI systems. The 2020 SolarWinds breach revealed vulnerabilities in cloud services, illustrating the necessity of bolstered cybersecurity measures to protect against advanced cyber threats.

Necessity of Strong Cybersecurity in AI and Cloud Systems

The advancement of cloud and AI technologies has caused a shift in modern cybersecurity requirements. To enhance their defensive capabilities, organizations of all levels must establish a variety of security procedures. The required cybersecurity measures include employing end-to-end encryption for secure data transmission and implementing multi-factor authentication (MFA) as an access control method to safeguard sensitive information.

In order for AI systems to overcome adversarial attacks, it is essential to develop secure models. AI models can protect themselves from threats through adversarial training, which involves exposing them to modified data inputs during their learning phase so that they can learn to recognize suspicious patterns. To identify security vulnerabilities and potential biases, users require transparent systems and straightforward clarifications from AI algorithms.

The work of Novman Mohammed, a pioneer in cloud and AI security, exemplifies this innovative approach. With his experience as a Senior DevOps Engineer working with Fortune 500 companies and his expertise in Kubernetes and Docker technologies, he is able to develop visionary solutions that address current and future security threats. His significant advancement comprises the patented “Adaptive Machine Learning Algorithm for Real-Time Threat Detection and Response in Cloud Infrastructure.”

The AI-driven technology enhanNovman Mohammed is a prominent writer of numerous academic research articles that concentrate on cloud security and optimal methods for securing enterprise-scale deployments. His works published in journals like IJGIS, IAEME, and Elsevier delve into advanced subjects such as Kubernetes security, Istio traffic management, and explainable AI in autonomous systems, demonstrating his profound expertise in the domain.ces cloud security by merging threat detection with real-time dynamic vulnerability response capabilities, assisting organizations in keeping pace with emerging cyber threats, especially in complex environments such as Kubernetes clusters and AI applications.

Novman’s research transcends engineering advancements, creating essential academic frameworks for safeguarding cloud systems and AI platforms. His investigation demonstrates practical methods for making Kubernetes secure and for deploying Istio to manage AI traffic, all while offering security solutions for those dealing with emerging threats.

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