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Financial institutions are pushing back against Apple's grip on mobile payments. Banks and credit unions are advancing an antitrust lawsuit targeting Apple Pay fees, arguing the tech giant's control over tap-to-pay on iPhones gives it unfair leverage to extract costs from every transaction consumers make.
On the security front, a small but useful open-source tool called echelongraph-mcp is making vulnerability research more accessible. It lets Claude, Cursor, or any compatible AI client look up common vulnerabilities and exposures and see how many internet-facing services are exposed to a given flaw — no API key, no account required. It is a quiet but practical step toward putting security intelligence directly inside the tools developers already use.
And in a story that sits at the intersection of cryptography and artificial intelligence, an open competition run by StarkWare, Yukon Research, and Eigen Labs has produced striking results. AI models competing to reduce the cost of quantum-safe Bitcoin transactions drove the estimated price down from roughly three hundred twenty dollars to about sixty-seven — a nearly eighty percent reduction, and a signal that AI-assisted cryptographic engineering is moving faster than many expected.
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