Artificial intelligence innovation is making security stronger for iGaming operators
As cyber-attacks grow in volume and complexity in the iGaming industry, artificial intelligence (AI) is helping security operations analysts anticipate threats. AI technologies, such as machine learning and natural language processing, gather threat information from millions of research articles, blogs and news stories, and provide rapid information for online casino security teams to cut through the noise of daily alerts, dramatically reducing response times.
AI tools help to anticipate and neutralize threats and manage cybersecurity incidents more reactively and effectively by analyzing large amounts of contextual information and without the need for highly specialized human intervention. These techniques can track the steps of attackers through sophisticated systems capable of learning from the environment, reasoning to identify relationships between threats, and making critical decisions.
Indeed, AI can be used in all stages of intelligent end-to-end security – identification, protection, detection, response and recovery from incidents. In this sense, cybersecurity can be considered a further domain of AI application capable of helping iGaming operators to take care of both their security and that of all the players who visit their platforms on a daily basis.
One of the most common cases has also been fraud. However, with AI, it can be easily detected. Through machine learning algorithms, it is possible to improve archaic processes with their ability to scan large amounts of transactional data and individual patterns that may lead to unwanted fraud.
As AI continues to evolve, iGaming operators need to continually update their cybersecurity tools and processes in an effort to proactively block threats to an online casino’s systems and operations, which could become a crisis if not dealt with efficiently and quickly.