CISOs should ask tough questions of vendors that claim to offer machine learning and artificial intelligence capabilities so they can cut through the marketing hype to find out what's real, says Sam Curry of Cybereason.
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
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.
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.
Are cyberattackers working on ways to counter artificial intelligence-augmented security? And will the bad guys ever use AI-driven attacks? Adi Ashkenazy of XM Cyber offers an analysis.
Data science is playing a fundamental role in a more dynamic approach to cybersecurity, says Jim Routh, CISO of Aetna, who stresses the importance of applying machine learning to front-line data security controls. Routh will be a featured speaker at the ISMG Security Summit in New York Aug. 14-15.
To mitigate the insider threat, organizations should apply user behavior analytics powered by artificial intelligence, says Mark Bower of Egress Software Technologies.
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