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...
Data science is playing a fundamental role in a more dynamic approach to cybersecurity, says Jim Routh, CISO of Aetna, who stresses the importance of applying machine learning to front-line data security controls. Routh will be a featured speaker at the ISMG Security Summit in New York Aug. 14-15.
To have any hope of keeping up "with the exponential rise in variants in malware," organizations must reduce their attack surface, in part by using technology designed to learn what attacks look like and respond as quickly as possible, says Cylance's Anton Grashion.
Security experts warn that hackers could one day make use of machine learning and AI to make their attacks more effective. Thankfully, says Cybereason's Ross Rustici, that doesn't appear to have happened yet, although network-penetration attacks are getting more automated than ever.
Incident response challenge: How to deliver actionable information to security analysts to enable them to better triage? "The quicker you can detect and respond to an incident, the more you're likely to be able to contain and minimize the risk associate with it," says IBM's Mike Spradbery.
Leading the latest edition of the ISMG Security Report: Our exclusive report on an Australian criminal investigation into a company that apparently swiped cryptocurrency using a software backdoor. Also, cutting through the hype on artificial intelligence and machine learning.
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...
99% of account takeover attacks begin with automation, and they pave the way for future ATO. Today's sophisticated scripts can bypass traditional measures that rely purely on device intelligence or static data. Learn how to block sophisticated attacks with behavioral biometrics before they create fraud losses.
Companies offering cybersecurity products are using the terms "artificial intelligence" and "machine learning" in many different ways. But the real meanings of the terms are far more nuanced than marketing hyperbole would lead us to believe, says Grant Wernick of Insight Engines.
The annual Infosecurity Europe conference returns to London this week, with a focus on the latest cybersecurity trends and essential practices for organizations. Hot topics range from artificial intelligence and breach response to GDPR and battling cybercriminals and nation-states.