security analytics solutions

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Published By: Splunk     Published Date: Aug 21, 2018
Alice Bluebird, a quirky security analyst for hire, is hunting down a nation state of hackers thirsty for the recipes of Frothly, a cutting-edge craft brewery. Follow Alice as she works to solve the mystery of the breach. Did she catch the incident before the hackers managed to steal Frothly’s super secret formulas? Did the hackers act alone or — scarier yet In this light hearted graphic novel “Through the Looking Glass Table”, discover how machine data, as well as an analytics-driven platform, log management, SIEM, UEBA and SOAR solutions, can help anyone — IT managers and sophisticated SOC analysts — better understand and respond to incidents, breaches, phishing attempts, insider threats and more.— did they have help from the inside?
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Splunk
Published By: Niara     Published Date: Jan 27, 2016
Download this whitepaper to learn some common myths to consider when deploying security analytics solutions.
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security analytics, security analytics solutions, analysts, attack detection, security, incident response, security monitoring, behavioral analytics
    
Niara
Published By: Niara     Published Date: Jan 29, 2016
This handy guide, that also includes an evaluation checklist, will help you select one that’s right for your organization.
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security analytics, security analytics solutions, analysts, attack detection, security, incident response, security monitoring, behavioral analytics
    
Niara
Published By: IBM Software     Published Date: Feb 03, 2012
Read this white paper from IBM to learn about applying predictive analytics to claims management, including the typical ROI achieved, how embedded analytics improves decision making, and technology components of a predictive analytics solution.
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ibm, security, predictive analytics, security policy, risk management, internet security, security solutions
    
IBM Software
Published By: SAS     Published Date: Oct 18, 2017
Financial organizations are deploying artificial intelligence and machine learning in the fight against financial crimes. David Stewart, Director of Pre-Sales for the Global Security Intelligence Practice at SAS, offers tips to help separate fact from market hype when reviewing new data analytics tools. You’ll learn about: • The new industry intrigue with artificial intelligence and machine learning. • How these emerging solutions can benefit financial institutions. • The SAS approach of “crawl, walk, run” when it comes to adopting new analytics tools.
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SAS
Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
There are three things that senior executives in the financial services industry want from their investments in computing systems. They are the same three things these institutions require for their very survival. First is unwavering security. The integrity of customer accounts and records is paramount to maintain trust across the financial ecosystem. Cybercrime is anathema to the core function of banking and cannot be tolerated. Next is captivating, personalized experiences based on real-time data analytics leading to instantaneous customer fulfillment. And finally, there is the essential delivery of these secure experiences while providing a cost and efficiency advantage over competing solutions
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Group M_IBM Q418
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