Banks can drive real value to their fraud prevention strategies with machine learning and analytics if they cut through the hype. Machine learning can be made intuitive and available directly to fraud experts. A multi-faceted strategy can turn fraud prevention expertise into a revenue generator for the...
Machine learning can play an important role in fraud prevention at financial institutions, says Marc Trepanier of ACI Worldwide, who addresses the challenges involved.
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...
Today's sophisticated attacks routinely evade conventional after-the- fact technologies such as firewalls and signature-based malware detection.
Download this white paper and learn how:
To stop command-and- control infiltration before it can do real harm;
A predictive IT strategy can help you prevent attacks...
Organizations and people's security hygiene can be poor, and criminals know it. Fraudulent activity costs are in the billions worldwide across industries, and over 16 million consumers in the US were victims of identity theft or fraud in 2016. Learning to analyze data at the speed of the business will ensure your...
Despite increasing investment in cyber security tools, there has been a significant increase in in data breaches, compliance violations and their related costs, specifically those relating to insider threats: accidental loss, misdirected content, and the malicious insider. These types of incidents contribute up to 80%...
Security hygiene can be poor, and criminals know it. Fraudulent activity costs are in the billions worldwide across industries, and over 16 million consumers in the US were victims of identity theft or fraud in the past year. Learning to onboard new data at the speed of the business will ensure your fraud team can...
Artificial Intelligence, Machine Learning and Data Science are among the many disciplines abused by cybersecurity marketing and snake oil salesman alike. But how do you separate snake oil from reality? Where do you turn for practical insight on emerging technologies that truly can improve your cybersecurity defensive...
Organizations in various industries are under increased pressure to identify subtle patterns that indicate fraud before customers are targeted by threats including account takeover, identity theft, and application fraud.
Companies have turned to Machine Learning (ML) to stay ahead of the next generation of...
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...
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...
In a world where adversaries are evolving their tools and techniques, defenders also need to advance their techniques to stay one step ahead of the ever evolving threat. While breach prevention used to rely heavily on static, signature-based detection, this is no longer an approach that will keep even simple threats...
Businesses spend billions each year on identity and access management, but almost all of this money is spent on protecting the digital identities of humans - usernames and passwords.
On the other hand, businesses spend almost nothing on protecting machine identities, even though our entire digital economy hinges...
Security hygiene can be poor, and criminals know it. Fraudulent activity costs are in the billions worldwide across industries, and over 16 million consumers in the US were victims of identity theft or fraud in the past year. Learning to onboard new data at the speed of the business will ensure your fraud team can...
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