AI can stop attacks much quicker than conventional alternatives
Artificial intelligence (AI) strives to simulate human intelligence. It has immense potential in cybersecurity. If harnessed correctly, AI systems can be trained to generate threat alerts, identify new types of malware, and protect the sensitive data of organizations related to the iGaming industry.
A medium-sized online casino receives alerts for more than 200,000 cyber events every day. A team of security experts in an average enterprise cannot deal with this volume of threats. Some of these threats, therefore, will naturally go unnoticed and cause serious damage to networks.
This is why iGaming operators have started using robust defense systems that use AI to combat cyberattacks. AI is the ideal cybersecurity solution for businesses looking to thrive online today. Security professionals need strong support from intelligent machines and advanced technologies like AI to work successfully and protect their organizations from cyberattacks.
Through machine learning and analytics, threat monitoring is done and possible attacks are predicted thanks to the analysis of network, application and user behavior. In this way, fraud, service failures and other vulnerabilities are prevented. These AI-based solutions work by recognizing standardized behaviors, stopping fraudulent movements when they evidence a repetition of actions.
AI systems collaborate by categorizing attacks according to the threat level. Cybersecurity managers, for their part, assign the priority with which each one must be addressed, starting with the most dangerous to the platform’s information status.
Malware attacks and others that may arise are also evolving, making threats faster and more sophisticated. This is why machine learning becomes essential to be at the same level in terms of preparedness.