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Broadcom's AI, Cloud, and security solutions add value on new z16 mainframe


Broadcom Inc. has announced expanding opportunities for organizations to gain greater value from the company's advanced AI, security, and hybrid cloud solutions with "Day One" support for IBM's new z16. Broadcom's suite of software solutions, services, and unique "beyond code" programs provide clients an advantage to succeed in an increasingly challenging business environment. "Our strategic investments position clients to exploit the z16 along with advances in AI, cybersecurity, cloud integration, and agility," said Greg Lotko, senior VP and GM, Mainframe Software Division, Broadcom. What distinguishes Broadcom is our deep investment in technology and how we work side-by-side in partnership with our clients to overcome their unique challenges and create new opportunities." As a member of the z16 Early Ship Program, Broadcom collaborated with IBM to ensure clients can capitalize on the full range of our mainframe software solutions on the new platform to drive progress toward their innovation and business goals. "Nothing can match the transaction performance of a mainframe, and the way that we manage the platform using Broadcom technology is a real differentiator for us," said Johan Bosch, executive director for iOCO Infrastructure Services. "We can deliver our services at 25 percent of the cost when measured against standalone banking environments.

Tech update for convenience services: AI, contactless payments and cybercrime


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.

Protecting payments in an era of deepfakes and advanced AI


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.

Senior Engineering Manager, Machine Learning Platform


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All the Software Google Announced at I/O 2022


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.

Sr. Software Engineer


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.

La veille de la cybersécurité


Federated learning is a machine learning technique that trains a model over several dispersed nodes or hosts, as the name suggests. If the model parameters are shared between nodes rather than the raw data, the data can be kept private. Due to privacy concerns, obtaining training data to design and evolve machine learning models is increasingly being questioned, and federated learning can help alleviate some of these issues. The Chinese e-commerce behemoth, Alibaba, has created a federated learning platform that allows machine learning algorithms to be constructed without sharing training data.

AI for Cybersecurity Shimmers With Promise, but Challenges Abound


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 - Dataconomy


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.