Every year, it gets harder to keep up with technology updates in convenience services. For many industry players, the pandemic put some projects on hold, but the surging interest in contactless transactions accelerated expansion of technology innovation. An early morning session, "Trending Technologies in Convenience Services," gave attendees a chance to unpack the key tech innovations at the National Automatic Merchandising Association show at Chicago's McCormick Place. "The pandemic has given us a lot of new terms, and it's also accelerated the digital transformation of the industry," session moderator Michael Kasavana, Ph.D., the NAMA endowed professor emeritus, observed at the outset. The well attended session provided updates on artificial intelligence services for convenience services, contactless payments and ways to prevent the growing cybercrime threat.
In the midst of unprecedented volumes of e-commerce since 2020, the number of digital payments made every day around the planet has exploded – hitting about $6.6 trillion in value last year, a 40 percent jump in two years. With all that money flowing through the world's payments rails, there's even more reason for cybercriminals to innovate ways to nab it. To help ensure payments security today requires advanced game theory skills to outthink and outmaneuver highly sophisticated criminal networks that are on track to steal up to $10.5 trillion in "booty" via cybersecurity damages, according to a recent Argus Research report. Payment processors around the globe are constantly playing against fraudsters and improving upon "their game" to protect customers' money. The target invariably moves, and scammers become ever more sophisticated.
Google kicked off its annual I/O developer conference Wednesday. As usual, the company took the occasion to announce a bunch of new hardware products and software updates. While the shiny new gadgets might have stolen the show--you can learn about the Pixel Watch, new Pixel phones, and other objects that were announced in our separate story--I/O is still primarily a software affair. To that end, Google used its keynote event to detail a dizzying array of new features for Android, Search, Maps, and Google's voice assistant services. Here are the biggest updates Google announced.
We're on a mission to provide security teams with the intelligence they need to confront and stop advanced threats like supply chain attacks, zero day exploits, and ransomware attacks. Cyber attackers still have the advantage. Are you ready to help us reclaim the upper hand? Every day, banks, hospitals, government agencies, and entertainment companies rely on Extrahop's Reveal(x) a cloud-based machine learning cyber security platform to understand which users, devices and network activities they can trust. With this knowledge companies prevent fraud, data breaches, and can focus on building better user experiences, instead of worrying about security.
Companies are quickly adopting cybersecurity products and systems that incorporate artificial intelligence (AI) and machine learning, but the technology comes with significant challenges, and it can't replace human analysts, experts say. In a Wakefield Research survey published this week, for example, almost half of IT security professionals (46%) said their AI-based systems create too many false positives to handle, 44% complained that critical events are not properly flagged, and 41% do not know what to do with AI outputs. In total, 89% of companies reported challenges with cybersecurity solutions that claimed to have AI capabilities. Not all AI-based projects are created equal, as some technology is more mature, says Gunter Ollmann, chief security officer at Devo, which sponsored the survey. "When they talk about rolling out AI for cybersecurity ... those are the projects that are commonly failing," he says.
Artificial intelligence in cybersecurity is a must-have combination for organizations nowadays. Artificial intelligence (AI) assists under-resourced security operations analysts in keeping pace with attacks, and this technology will have a greater role as cyberattacks increase in volume and complexity. AI technologies, such as machine learning and natural language processing that analyze millions of research papers, blogs, and news stories, provide rapid insights to cut through the noise of daily alerts. AI provides analysts with a method to connect the dots between threats. The enterprise attack surface continues to expand and get more complex.
Chris J. Preimesberger has been researching, reporting and analyzing IT news and trends since 1995, when as editor of an international newsletter, Sun's Hottest, he published an article defining a new protocol called Java. Damage caused by advanced exploits, such as Log4Shell and Spring4Shell, has been widely documented. These came out of nowhere and seemingly crippled many organizations. This happened despite record cybersecurity industry budgets that will clear $146B in 2022. This post from Palo Alto Networks highlights that, based on telemetry, the company observed more than 125 million hits that had the associated packet capture that triggered the signature.
We are able to turn on the lights in our homes from a desk in an office miles away. The built-in cameras and sensors embedded in our refrigerator let us easily keep tabs on what is present on the shelves, and when an item is close to expiration. When we get home, the thermostat has already adjusted the temperature so that it's lukewarm or brisk, depending on our preference. These are not examples from a futuristic science fiction story. These are only a few of the millions of frameworks part of the Internet of Things (IoT) being deployed today.
In this week's real-time analytics news: HPE launched HPE Swarm Learning, a privacy-preserving, decentralized machine learning framework for the edge. Keeping pace with news and developments in the real-time analytics market can be a daunting task. We want to help by providing a summary of some of the important news items our staff came across this week. Hewlett Packard Enterprise (HPE) announced the launch of HPE Swarm Learning, an AI solution to accelerate insights at the edge, from diagnosing diseases to detecting credit card fraud, by sharing and unifying AI model learnings without compromising data privacy. HPE Swarm Learning is a privacy-preserving, decentralized machine learning framework for the edge or distributed sites.