The EU's General Data Protection Regulation, which has tough breach notification requirements, is spurring global interest in technologies to help prevent insider breaches, says Tony Pepper of Egress Software Technologies.
Machine data and machine learning have the potential to connect disparate data sources, enabling better fraud detection and prevention, says Matthew Joseff of Splunk, who highlights real-world examples of fighting fraud with better data.
Unsupervised machine learning is essential to mitigate the sophisticated cross-channel fraud techniques attackers are using to take advantage of the multiple silos and security gaps at financial institutions, says ThetaRay's James Heinzman
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Artificial intelligence can be used to create a model of an organization's infrastructure that can make detecting ransomware easier, says Alberto Pelliccione of ReaQta.
Business intelligence technologies are increasingly being used with artificial intelligence to extract events that defenders need to know about, says Anurag Sanghai of Intellicus.
Cybercrime is a business and, like any business, it's driven by profit. But how can organizations make credential theft less profitable at every stage of the criminal value chain, and, in doing so, lower their risk?
The best way to take a holistic approach to the current threat landscape is to define security issues as business problems and then put the problem before the solution - not the other way around, contends RSA CTO Zulfikar Ramzan.
When taking steps to guard against fraudulent transactions through contactless payments, organizations must carefully balance the level of security versus customer convenience, says Sriram Natarajan, COO at Quatrro.
Imagine a world where incident alerts arrive 30 minutes before problems even begin - you'd actually have the power to prevent outages and deliver a truly seamless experience to your customers. Sound impossible? Think again - the right AIOps (Artificial Intelligence for IT Operations) solution can help you maintain...
Artificial intelligence has the potential to filter out much of the noise that can bog down teams trying to triage security alerts, says Bryce Boland, former CTO for FireEye in Asia-Pacific.
Artificial intelligence and machine learning will have a significant impact on lowering the cost of securing an organization because it will reduce the need for advanced skillsets, predicts Rapid7's Richard Moseley.
Despite increasing investment in cyber security tools, there has been a significant increase in in data breaches, compliance violations and their related costs, specifically those relating to insider threats: accidental loss, misdirected content, and the malicious insider. These types of incidents contribute up to 80%...
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