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

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...

Sponsored by Splunk

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...

Sponsored by Splunk

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...

Sponsored by Splunk

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...

Sponsored by Splunk

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...

How Machine Learning is Helping Us Get Smarter at Healthcare

With healthcare-based ransomware attacks happening every day, cybersecurity focused on machine learning can identify potential vulnerabilities and prevent attacks before malicious actors find them. Intelligent algorithms flag out-of-the-ordinary activity and send alerts for timely interventions. This whitepaper is...

Mobile Security Redefined: Specific Strategies to Proactively Stop Attacks

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...

Advanced Threat Detection Empowered By AI: Three Real World Examples

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...

Sponsored by Splunk

AI and Machine Learning in Regulated Industries

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...

Machine Learning in the Era of Cyber AI

Amidst an era of evolving cyber-threats, legacy security approaches are being replaced by applications of machine learning and AI. While machine learning has the power to transform cyber defense, the challenge of getting it to work at scale, in a variety of dynamic data environments, without human intervention, is not...

The Future of AI-Powered Autonomous Response

With stretched security teams struggling to keep up with evolving cyber-threats, autonomous response technologies leveraging AI are transforming how quickly and effectively human security teams respond to emerging threats. Download this whitepaper to learn: Why legacy incident response strategies are...