Using the smartest technology for fraud management in their joint effort to make online experiences smoother and safer, the two companies form a powerhouse for fighting ecommerce fraud and helping merchants maximize their revenue. The partnership creates a single platform capable of managing every type of ecommerce fraud facilitated by Sift Science. Acapture's in-house global acquiring solutions offer access to payment data and insights into the payments journey of the end consumer. This data paired up with Sift Science's cutting-edge machine learning models make the ultimate fraud management solution to protect merchants in the fast-paced fraud landscape. "We're delighted to have Sift Science as our trusted partner for our long-term mission to help merchants to fight fraud and deliver a better consumer experience" said Rudolf Booker, Acapture CEO.

Ahead of Valentine's Day 2018, CBS News reported that the FBI is warning those looking for love online to be wary of scammers on dating sites and apps. Online dating services can be lucrative targets for fraudsters. According to the article, online dating scams cost Americans up to $210 million over the past three years. "A fraud scammer sets up a series of false personal profiles on these online dating sites, and then reaches out to form relationships. At first, the relationship seems pretty genuine. Then, once the relationship is formed, at some point the scammer determines an'extraction point' where she or he begins to ask the other party for money to'help them out.'"

We have been in the market of analytics for roughly 10 years now. The product we have to today is no older than 2,5 years. Along the journey we were blessed to work with many of the brightest and most experienced people in the field of actually applying analytics in the domain of marketing. These professionals were able to lever the value in the data of their companies way before many of their competitors could even grasp that there was something happening. The difference was that they could build their analytics stack with the software that was already available.

Opinions expressed by Forbes Contributors are their own. The author is a Forbes contributor. The opinions expressed are those of the writer. Hackers have become increasingly sophisticated at obscuring their footsteps, at times flooding systems with fake alerts to distract from truly insidious ones. Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) demonstrated that a virtual AI security analyst trained by human experts accurately identifies 85% of attacks, beating previous benchmarks by a factor of three while reducing false positives by a factor of five.

The war between machines likely won't be fought across some bomb-blasted hell-scape, with humans scuttling about like roaches trying to avoid being squashed. Rather, machines will fight it out over fiber optic connections, with the battleground being computer servers and laptops containing valuable information. You'll recall that monochromatic pant suits weren't Hilary Clinton's only problem: Russia (or some obese, Big Gulp-slurping teen in his mom's basement) hacked her private emails. Cybersecurity is still the domain of humans, but the job is increasingly being turned over to predictive systems that use various forms of artificial intelligence that do everything from protecting financial information to detecting fraudulent behavior. It's no secret that cybersecurity is big business.

Corporations and politicians share a tendency to say things that are narrowly true, though a lack of context renders the statements misleading. Mastercard on Nov. 30 offered a terrific example of this in the security arena. On that day, the card brand rolled out something it calls Decision Intelligence, which it said "uses artificial intelligence technology to help financial institutions increase the accuracy of real-time approvals of genuine transactions and reduce false declines." It then elaborated why it saw this as news: "This is the first use of AI being implemented on a global scale directly on the Mastercard network." It also labels Decision Intelligence as "a radical new approach," one that "takes a broader view in assessing, scoring and learning from each transaction. That score then enables the card issuer to apply the intelligence to the next transaction."

Corporations and politicians share a tendency to say things that are narrowly true, though a lack of context renders the statements misleading. Mastercard on Nov. 30 offered a terrific example of this in the security arena. On that day, the card brand rolled out something it calls Decision Intelligence, which it said uses artificial intelligence technology to help financial institutions increase the accuracy of real-time approvals of genuine transactions and reduce false declines. It then elaborated why it saw this as news: This is the first use of AI being implemented on a global scale directly on the Mastercard network. It also labels Decision Intelligence as a radical new approach, one that takes a broader view in assessing, scoring and learning from each transaction.

There is no question about it: the real-time, on-demand economy is disrupting ecommerce. These days, you can order rides, buy groceries, rent a car, make a dinner reservation, and more with a single tap on your smartphone – and each service arrives in as little as minutes. Against this backdrop of speed, more consumers are expecting – and even demanding – a fast and frictionless user experience. The challenge for businesses is to meet these high expectations and stay competitive – all without increasing risk. All types of ecommerce companies struggle with payment fraud, but time-sensitive businesses that fulfill orders in real time face unique challenges.