InfoWorld AI·
Between 2029 and 2032, every currently supported long-term support (LTS) version of Java will reach end-of-support within a single three-year window: Java 17 in 2029, Java 8 in 2030, Java 21 in 2031, and Java 11 in 2032. On paper, this looks like a manageable upgrade cycle. In practice, it creates a collision of timelines that most enterprises have failed to forecast. Organizations attempting to modernize incrementally—moving application by application, version by version—are operating on a model that the calendar has already rendered obsolete. The primary danger here is the illusion of time. Traditional modernization plans rely on sequential upgrades and controlled pacing. However, when every major Java version expires in the same compressed window, sequential planning collapses. By the time this becomes obvious, organizations will be forced into reactive mode, making rushed decisions under extreme pressure. The modernization illusion For organizations planning traditional stepwise up
Read full articleThe talent shift highlights a strategic pivot in AI firms towards direct enterprise engagement, reshaping future industry revenue dynamics. The post OpenAI and Anthropic have poached roughly 100 Salesforce employees in 18 months appeared first on Crypto Briefing.
Anthropic's prompt screening could lead to enterprise inefficiencies and increased costs due to potential model lock-in and output control issues. The post Chamath Palihapitiya warns Anthropic’s prompt screening poses ‘idiotic risk’ for enterprises appeared first on Crypto Briefing.
Google's Skills Marketplace could reshape enterprise AI by standardizing skill sharing, enhancing security, and fostering developer ecosystems. The post Google develops Skills Marketplace for Gemini Business and Enterprise appeared first on Crypto Briefing.
AWS Transform – continuous modernization (preview) automatically scans code repositories to detect, prioritize, and remediate technical debt at scale.
Ripple is participating in Mastercard’s Agent Pay for Machines effort, placing XRPL and RLUSD in a wider push to support AI-driven payments. Mastercard is working with more than 30 partners as autonomous transactions raise new demands for controls, permissioning, and settlement. Mastercard’s AI Payments Plan Puts Ripple’s Enterprise Role in Focus Ripple’s role in Mastercard’s […]
Palantir CEO Alex Karp has said enterprise customers are unhappy with how frontier AI labs operate. He said companies question whether leading model developers understand their business needs. His remarks came as OpenAI and Anthropic move toward public listings. Palantir…
AI-generated code is riddled with security flaws, yet enterprises are shipping more of it than ever before. Why? Perhaps they’re over-confident, lack true visibility into security risks, or are simply choosing to ignore the problem and hope it goes away. It’s a dangerous game to play at the dawn of the agentic AI era, as underscored in a new report from app security company Checkmarx. The survey of thousands of security leaders exposes an underlying naivete about AI-built code and its vulnerabilities, even as tools like Anthropic’s Mythos are uncovering security flaws orders of magnitude faster than any human security team could ever hope to. “Mythos-class models collapse the window between a vulnerability existing and a working exploit being available from months to minutes,” the report notes. Enterprises relying on traditional security tools and methods, it says, “cannot survive this reality.” Security as an afterthought Checkmarx’s survey of 2,350 CISOs, AppSec managers, and develop
Broadcom today announced multiple security investments in its Spring and Java ecosystems that aim to help protect users from AI-enabled threats. The company said that, first, it is releasing what it called the largest set of Spring security updates to open source in the product’s history, and, for customers, it is extending its clean-room build architecture to build the Java dependencies for the entire Spring ecosystem. “Spring is one of the most widely adopted application development frameworks in the world, and as its steward, we have a deep responsibility for its security,” said Purnima Padmanabhan, vice president and general manager of Broadcom’s Tanzu Division. “Because we maintain Spring and are the sole committers, we can better secure it at the source for everyone who depends on it. This investment is about two things we will never separate: the health of the Spring community and the security of our customers who trust Spring to run their business.” The company also announced t
