There has been so much hype around AI that seeing concrete examples of how the use of this technology can impact real world problems is often lost in the noise. This document takes a look at three scenarios from the Verizon Data Breach Report that have happened at specific organizations and details how AI can be...
New research has found that 74% of business customers think banks use machine learning and artificial intelligence to spot money laundering. In reality banks rely on human investigators to manually sift through alerts - a hard-to-believe fact selected only by 31% of respondents. This lack of automation and modern...
Protecting "East-West" cloud traffic - the traffic between apps and virtual machines - is a significant challenge, but microsegmentation can help address it, says Raghu Raghuram of VMware.
As companies go through a digital transformation, they need to move toward real-time risk management - and artificial intelligence can play a critical role, says David Walter, vice president of RSA Archer.
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.
In a recent Ponemon survey on cyber resilience, respondents reported that both the time to respond to attacks and the severity of the attacks have increased. They also reported that the number one barrier to cyber resilience is the "lack of investment in new cybersecurity technologies, including artificial...
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.
The hype around artificial intelligence (AI) and machine learning (ML) has exploded, sometimes overshadowing the real uses and innovations happening every day at organizations across the globe. The reality is that applying AI and ML to data-dependent challenges presents the opportunity for better security, faster...
At RSA Conference 2018 Asia Pacific & Japan, Information Security Media Group conducted dozens of video interviews with industry thought leaders. Here are the highlights.
Organizations and people's security hygiene can be poor, and criminals know it. Fraudulent activity costs are in the billions worldwide across industries, and over 16 million consumers in the US were victims of identity theft or fraud in 2016. Learning to analyze data at the speed of the business will ensure your...
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
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