Many of today's companies are hesitant to adopt new security technologies - particularly AI. The truth is AI is successfully disrupting many areas of security operations and shifting us away from the traditional SOC and man-led threat intelligence.
In this webinar, Chris Calvert will introduce the concept of...
It seems that every security vendor is hyping Artificial Intelligence (AI), creating unrealistic expectations and causing some security pros to simply tune it all out. The reality is that AI is a powerful, indeed essential, component of security against today's advanced threats. The attacks simply are too numerous,...
The rapidly changing cybercrime landscape has required organizations to seek new methods, such as machine learning, that enable systems to learn, adapt, and uncover emerging fraud patterns quickly. However, there are many debates about the merits of machine learning models for fraud detection and which one works...
Machine learning is one of the tools that you should be using as part of a multifaceted fraud strategy at financial institutions. To get value out of ML, you need to have multiple inputs. You have to have an intelligence network and the location to gather all that network intelligence.
Download this eBook on the...
You've heard the AI evangelists, but how can you ensure the AI solution you invest in is an intelligent, cognitive solution that can make your job easier?
The no-hype answer centers around making sure it can learn and can be proactive. It should automate your repeatable tasks to mitigate fatigue and solve what...
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...
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