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Novetta and Teradata Deliver Next-Gen Cyber Defense with New Novetta Cyber Analytics Solution Now Available

CTOvision

Novetta Cyber Analytics provides rapid discovery of suspicious activity associated with advanced threats, dynamic malware, and exfiltration of sensitive data. “Novetta’s deep experience in data analytics makes us a great match for the high performance capabilities of Teradata. . About Novetta Solutions.

Analytics 102
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AWS vs Azure vs Google Cloud – Which Cloud Platform Should You Choose for Your Enterprise?

KitelyTech

GCP provides customers with an end-to-end solution from infrastructure to application development by offering storage, computing power, machine learning tools, big data solutions and more. It offers virtual machines for running applications as well as storage and other services.

Insiders

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Insider Threat: A perspective on how to address the increasing risk

CTOvision

Spanning a wide range of malicious activities from destructive malware and denial of service attacks, to the theft of intellectual property and even espionage, cyber threats pose a significant risk to any business. The Special Case Of Big Data Analytics In Insider Threat Detection.

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The Future of DDoS Protection in an IoT World

Kentik

As an example of what can happen, the Mirai malware set loose in late 2016 created a botnet of IoT devices that included ordinary consumer devices such as security cameras, routers, and other home use IoT devices purposely designed to take websites and entire networks offline. And full duplex DOCSIS 3.1

IoT 40
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9 Free Tools to Automate Your Incident Response Process

Altexsoft

With the rise of big data, organizations are collecting and storing more data than ever before. This data can provide valuable insights into customer needs and assist in creating innovative products. Unfortunately, this also makes data valuable to hackers, seeking to infiltrate systems and exfiltrate information.

Tools 109
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12 Impact of Artificial Intelligence on Mobile App Development

Xicom

Table Of Contents 1) Machine Learning in Mobile Apps 2) Predictive Analysis 3) Virtual Personal Assistants 4) Improved User Experience 5) Augmented Reality 6) Blockchain Technology 7) Facial Recognition 8) Internet of Things 9) Cloud Computing 10) Cybersecurity 11) Marketing and Advertisements 12) Big Data Q1: What is Artificial Intelligence?

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The Future of Machine Learning in Cybersecurity

CIO

And while ML has frequently been used to make sense of big data—to improve business performance and processes and help make predictions—it has also proven priceless in other applications, including cybersecurity. All data and applications aren’t running on-premises, as hybrid and multicloud are the new normal.