“Artificial intelligence” is true reflection of technological innovation. However, AI in cybersecurity can bring amazing intelligence in the area of threat detection, vulnerability management& incident response automation. As digital transformation accelerates the need for advanced security measures threat intelligence becomes prime focus in any Industry. AI plays a critical role in enhancing cybersecurity by providing tools and techniques that can predict, detect, and respond to cyber-attacks with unparalleled speed and accuracy.
Head IT & Digital
Sterlite Copper sector
AI-driven cybersecurity solutions leverage machine learning algorithms to analyse huge amounts of data, identifying patterns and anomalies that may indicate potential security breaches. These intelligent systems can continuously learn from new data, improving their ability to detect and mitigate threats over time. By automating routine security tasks, AI allows cybersecurity professionals to focus on more complex and strategic challenges
The integration of AI in cybersecurity represents a dynamic shift in how organizations defend against evolving threats. AI is employed to enhance detection, response and preventive capabilities. AI enables the monitoring of user and system behaviour thereby allowing for the identification of deviations from normal patterns. This proactive approach enhances the ability to spot potential threats before they escalate. AI plays a vital role in enhancing user authentication by implementing multi factor authentication and biometric recognition reducing risk of unauthorized access.
AI enables predictive analysis, forecasting potential threats based on historical data and current trends. This helps organization to strengthen cybersecurity.
Malware detection. AI powered systems supports in identifying sophisticated malware by analysing code patterns and behaviours. This improves the identification of malicious software,
Also AI ready infrastructure is essential in the techy era. How AI workloads are reshaping network architectures, Ensuring AI-driven networks are secure, efficient, and future-proof. The way Digital twin built in our organization with secured layer with built in algorithms is effective in monitoring operations anywhere.
Experts predict that 93% of security leaders anticipate their organizations will face daily AI attacks by 2025. Phishing, web-based attacks, and credential theft represent the most prevalent attack trends,. 95% of security professionals anticipate that adopting AI cybersecurity tools will strengthen their security efforts.
AI can provide security professionals with actionable insights and recommendations, enabling them to make better decisions about security risks and vulnerabilities. The main perceived benefits of using AI in cybersecurity are to increase detection speed (74%), utilize predictive capabilities (67%), and reduce errors (53%).Lets use AI based tools for cybersecurity governance and setup AI based framework for bringing intelligence in threat detection mechanism.
Authored by Violet Jemimah H, Head IT & Digital, Sterlite Copper sector
