The data being used to drive effective anti-fraud efforts can be rich in context and useful for other activities. Jim Apger of Splunk describes emerging fraud schemes and solutions, highlighting the role of machine learning.
When security controls fail, can you detect unusual and anomalous activity with sufficient context to accurately ascertain the risk to the organization?
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...
The marketers would have us believe that machine learning and behavioral analytics are the keys to unlocking the future of healthcare information security. But Vikrant Arora, CISO of the Hospital for Special Surgery in New York, offers a more practical outlook.
The easy availability of tools for designing face-swapping deep-fake videos drove Symantec security researchers Vijay Thaware and Niranjan Agnihotri to design a tool for spotting deep fakes, which they described in a briefing at the Black Hat Europe 2018 conference in London.
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.
Download this white paper and learn about:
Limitations of AI and machine-learning solutions as...
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 and machine learning get all the marketing buzz, but First Data's Jaclyn Blumenfeld cites examples of use cases where these emerging technologies are actually transforming security and fraud management.
The hype around artificial intelligence (AI) and machine learning (ML) has exploded, sometimes overshadowing the real uses and innovations happening at agencies today. The reality is that applying AI and ML to data-dependent challenges presents the opportunity for better security, faster innovation, and overall...
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...
While unsupervised machine learning techniques get away from the data labeling and classification that most supervised systems require, they are dependent on the quality and variety of the data provided, says Gartner's Jonathan Care.
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...
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...
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...
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...
Our website uses cookies. Cookies enable us to provide the best experience possible and help us understand how visitors use our website. By browsing inforisktoday.com, you agree to our use of cookies.
