Organizations can effectively rely on managed security services providers to take care of many tasks, but certain strategic security functions must be handled in-house, says Sid Deshpande, research director at Gartner.
With so much focus on endpoint security, it's important not to overlook the importance of network-level security controls, says Lawrence Orans, research vice president at Gartner.
Machine learning could be a breakthrough for data classification, addressing fundamental challenges and paving the way to create and enforce automated policies that can be scaled across the enterprise, says Titus CEO Jim Barkdoll.
At RSA Conference 2018 Asia Pacific & Japan, Information Security Media Group conducted dozens of video interviews with industry thought leaders. Here are the highlights.
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
Is your organization capitalizing on the full potential of data analytics?
Download this big data primer and you will learn how to solve the 3 key challenges facing organizations today:
Managing overwhelming amounts of data;
Leveraging new complex tools/technologies;
Developing the necessary skills and...
How can machine learning - especially deep neural networks - make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but also helps you get started building efficient deep learning networks.
Download this guide and you will:
Dive...
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.
Our website uses cookies. Cookies enable us to provide the best experience possible and help us understand how visitors use our website. By browsing careersinfosecurity.asia, you agree to our use of cookies.
