Cybersecurity is a type of technology that measures and prevents cyberattacks (an unauthorized action against computer infrastructure that compromises the confidentiality, integrity, or availability of its content) and mitigates their impact. In the relentless battle against cyber threats, innovation in cybersecurity is the key to staying ahead. Using machine learning (ML) and data analytics, the dynamic duo reshaping cybersecurity, systems can detect a fraudulent transaction in milliseconds, saving millions for businesses worldwide. ML enhances cybersecurity by detecting, analyzing, and responding to threats more efficiently, shifting from reactive to proactive measures,
ML impacts cybersecurity in key areas-

·       Detection of frauds: ML algorithms analyze vast datasets to identify patterns indicative of fraudulent activities, such as anomalous transactions or unauthorized access attempts, thus improving the response capabilities of the system.

Predictive Analytics for Risk Management: ML predicts future threats by analyzing data patterns, aiding proactive risk mitigation in predictive analytics for risk management.