CrowdStrike® is thrilled to introduce Falcon Discover™ for AWS, a new solution that delivers our next-generation IT cloud hygiene features across AWS workloads, ensuring advanced visibility into AWS EC2 (Elastic Compute Cloud) services.
AWS (Amazon Web Services) has continued to be a leading cloud...
The easy availability of tools for designing face-swapping deep-fake videos drove Symantec security researchers Vijay Thaware and Niranjan Agnihotri to design a tool for spotting deep fakes, which they described in a briefing at the Black Hat Europe 2018 conference in London.
Using machine learning to classify known malicious and benign activity, while humans focus on the grey areas, is the most effective combination for tackling today's threat landscape of constantly evolving cyberattacks.
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Limitations of AI and machine-learning solutions as...
Artificial intelligence and machine learning get all the marketing buzz, but First Data's Jaclyn Blumenfeld cites examples of use cases where these emerging technologies are actually transforming security and fraud management.
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...
While unsupervised machine learning techniques get away from the data labeling and classification that most supervised systems require, they are dependent on the quality and variety of the data provided, says Gartner's Jonathan Care.
Interest in artificial intelligence (AI) and machine learning (ML) is soaring, but confusion and hype can mask the real benefits of these technologies. Organizations need to identify use cases that will produce value for them, especially in the areas of enhancing processes, detecting anomalies and enabling predictive...
The financial services industry has unique challenges that often prevent it from achieving its strategic goals. The keys to solving these issues are hidden in machine data - the largest category of big data - which is both untapped and full of potential.
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How organizations...
Healthcare organizations are mandated to raise revenues and lower expenses, provide better service and protect against data breaches or violations that might result in fines. What many organizations don't realize is that machine data from applications in a healthcare facility can be used to provide insights into some...
Organizations are focused on protecting traditional devices - laptops, desktops - but at each one of those endpoints is a user who has at least one and typically more than one mobile device. You may also have devices in the field to interact with customers and prospects or use IoT tools. This means that about half of...
Identity and access management is not about compliance anymore - It's really about security, says Gartner's Felix Gaehtgens. With cloud, virtualization, DevOps and other IT trends, IAM has evolved from being a one-off project to an ongoing initiative.
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.
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