Page 2 - White Papers in Next-Generation Technologies & Secure Development > Artificial Intelligence & Machine Learning

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2019 Predictions: Machine Learning, IT Operations, Security & IoT

When examining a data-driven future, embracing new developments around artificial intelligence (AI) and machine learning (ML), IT operations, security and IoT is key. The goal: to generate positive outcomes from your data. Pulling together insights from thousands of customer and our dedicated research teams, our...

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The Seven Essentials of an Analytics-Driven SIEM

SIEM (security information and event management) software offers a lot of promise, but legacy SIEMs simply can't keep up with the rate and sophistication of today's cyberattacks. Organizations today require access to analytics-driven SIEMs that combine a big data platform that is optimized for machine data with...

Security with AI and Machine Learning

For security professionals seeking reliable ways to combat persistent threats to their networks, there's encouraging news. Tools that employ AI and machine learning have begun to replace the older rules- and signature-based tools that can no longer combat today's sophisticated attacks. In this ebook, Oracle's Laurent...

Predictive Prioritization: Data Science Lets You Focus on the 3% of Vulnerabilities Likely to Be Exploited

In 2017, 15,038 new CVEs were published, up from 9,837 in 2016. Last year, 16,500 new CVEs were disclosed. With vulnerabilities growing year after year, patching every potential threat to your business is a futile exercise. The need to prioritize is clear, but where to start, especially when CVSS categorizes the...

Predictive Intelligence: Pre-Crime for IT

Today's sophisticated attacks routinely evade conventional after-the- fact technologies such as firewalls and signature-based malware detection.

The New Faces of Fraud: Survey Report

Fraud incidents and losses have remained steady or increased in the past year, according to ISMG's latest Faces of Fraud Survey. And the biggest fault of banking institutions' current anti-fraud controls: They rely too much on manual processes. Manual processes can hinder banks' ability to pivot quickly and offset,...

AI for Cybersecurity

Cybersecurity is one of the most understaffed industries in the world with unfilled cybersecurity positions to be about 1.5 million by the year 2020. Help is needed to make the current security professionals more efficient and augment their intelligence. This assistance is coming from AI.

Next-Generation IT Hygiene: Visibility That Ensures Security in The Cloud

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...

Hybrid AI - Harnessing the Potential of AI in Cybersecurity

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.

AI, Analytics, and the Future of Your Organization

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...

Deep Learning: A Practitioner's Approach

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...

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Using Healthcare Machine Data for Operational Intelligence

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...

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AI and Machine Learning for Regulated Industries: Healthcare Featured

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...

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Banking on Machine Data

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. Download Banking on Machine Data to learn: How organizations...

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Artificial Intelligence & Machine Learning: Driving Tangible Value for Business

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...