Page 3 - White Papers in Next-Generation Technologies & Secure Development > Artificial Intelligence & Machine Learning

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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...

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...

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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...

The Rise of Machine Learning in Cybersecurity

How the critical capability of machine learning can help prevent today's most sophisticated attacks While many organizations are guarding the front door with yesterday's signature-based antivirus (AV) solutions, today's unknown malware walks out the back door with all their data. What's the answer? Enter:...

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Essential Guide to Machine Data: Infrastructure Machine Data

Machine data is one of the most underused and undervalued assets of any organization, yet it contains powerful business and operational insights that can help you quickly diagnose service problems, detect advanced security threats and uncover the fingerprints of fraud. Download this e-book and learn: Where you...

The Rise of Machine Learning in Public Sector Cybersecurity

All ML technology isn't created equal.. While many public sector organizations are guarding the front door with yesterday's signature-based antivirus (AV) solutions, today's unknown malware walks out the back door with all their data. What's the answer? Enter: Machine Learning (ML) technology. Learn what it is, how...

A Reference Architecture for the Internet of Things

In the great Internet of Things gold rush, early adopters have largely left behind identity and access management. As a result, many organizations are scrambling to deal with the consequences as the IoT is vulnerable to hacks that can give malicious actors control over connected devices. Recent DDoS attacks and...

Where to Invest Next: People, Processes and Technology for Maturing Cyber Defenses

Building your organization's cybersecurity maturity doesn't happen overnight. It takes time and thought to adequately assess all the factors that go into creating and implementing an effective security strategy, particularly what steps to take after you've made an initial investment in security. This whitepaper...

Three Use Cases for Deception Technology in Healthcare

In today's dynamic healthcare environments, new cyber vulnerabilities and risks open as fast as older ones get remedied. As attackers become more sophisticated, and as IT innovation continues to pick up pace, the escalation of cyber risk can easily overwhelm organizations with limited resources. Download this...

The Power of AI and ML to Fight Fraud

How Emerging Tech Can Change the Anti-Fraud Landscape For the past year, the buzz about artificial intelligence and machine learning has been overwhelming. But Ricardo Villadiego of Cyxtera sees promise in how these technologies can help organizations fight back against fraud. In this interview transcript from...