61% of enterprises say they cannot detect breach attempts today without the use of AI technologies.
. By partnering with Kount, PetSmart was able to implement an AI/Machine Learning technology that aggregates millions of transactions and their outcomes. The technology determines the legitimacy of each transaction by comparing it against all other transactions received. As fraudulent orders were identified, they were canceled, saving the company money and avoiding damage to the brand.
provides insights into how Kount’s approach to unsupervised and supervised machine learning stops fraud.Fraud detection, malware detection, intrusion detection, scoring risk in a network, and user/machine behavioral analysis are the five highest AI use cases for improving cybersecurity . Capgemini analyzed 20 use cases across information technology , operational technology and the Internet of Things and ranked them according to their implementation complexity and resultant benefits . Based on their analysis, we recommend a shortlist of five high-potential use cases that have low complexity and high benefits. 54% of enterprises have already implemented five high impact cases.
Capgemini found that hacking organizations are successfully using algorithms to send ‘spear phishing’ tweets . AI can send the tweets six times faster than a human and with twice the success. “It’s no surprise that Capgemini’s data shows that security analysts are overwhelmed. The cybersecurity skills shortage has been growing for some time, and so have the number and complexity of attacks; using machine learning to augment the few available skilled people can help ease this.
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