Connect with us
DAPA Banner

Crypto World

New York AG Sues Coinbase, Gemini Over Prediction Markets

Published

on

Brian Armstrong's Bold Prediction: AI Agents Will Soon Dominate Global Financial

TLDR

  • New York Attorney General Letitia James has sued Coinbase and Gemini over alleged illegal gambling on their prediction market platforms.
  • The state seeks at least $2.2 billion from Coinbase and $1.2 billion from Gemini in penalties and forfeited profits.
  • James claims the platforms allowed users aged 18 to 21 to place sports-related bets, which violates New York law.
  • Coinbase argues that prediction markets fall under federal oversight by the Commodity Futures Trading Commission.
  • The legal dispute adds to ongoing court battles between the CFTC and several U.S. states over event-based trading platforms.

New York Attorney General Letitia James has filed lawsuits against Coinbase and Gemini over their prediction market platforms. She alleges the companies offered illegal gambling services tied to sports and elections. The state seeks billions in penalties, restitution, and forfeiture of profits.

Coinbase Faces Claims Over Prediction Market Access

James filed the complaint in New York federal court and named Coinbase as a defendant. She claims the company allowed users to place event-based bets through a prediction market platform. The complaint seeks at least $2.2 billion in penalties and forfeited profits.

James said the platform allowed users between 18 and 21 to participate in sports-related contracts. However, New York law requires users to be 21 for mobile sports betting. She stated, “Gambling by another name is still gambling, and it is not exempt from regulation under our state laws and Constitution.”

She also argued that the platform lacked required safeguards under state gaming rules. Therefore, her office seeks restitution for affected users and permanent injunctive relief. The filing asks the court to bar further operations that violate New York gambling statutes.

Coinbase Chief Legal Officer Paul Grewal responded publicly on X. He said, “Prediction markets are federally regulated by the CFTC.” He added that the dispute is now proceeding in New York federal court.

Advertisement

Grewal said Congress intended federal oversight for these markets. He stated that Coinbase will continue to defend that position in court. Earlier this year, Coinbase rolled out nationwide access through its partnership with Kalshi.

Kalshi operates under regulation by the Commodity Futures Trading Commission. Coinbase integrated the offering to expand its event-based trading services. The lawsuit now places that structure under judicial review.

Gemini Also Targeted in State Action

James also sued Gemini over its own prediction market operations. The complaint seeks at least $1.2 billion from the exchange. The state alleges Gemini Titan offered event-based contracts without state authorization.

According to the filing, Gemini allowed participation by users under 21. New York law bars individuals under 21 from mobile sports wagering. James argued that the platform functioned as an unlicensed gambling operation.

Advertisement

She stated that these services exposed young users to addictive platforms without guardrails. Her office claims the companies bypassed state constitutional limits on gambling. The lawsuit demands forfeiture of profits and restitution for users.

The regulatory dispute has expanded beyond New York. CFTC Chairman Michael Selig has said prediction market platforms fall under his agency’s exclusive jurisdiction. However, several states have challenged that view in court.

Earlier this month, the CFTC sued Illinois, Arizona, and Connecticut. The agency claims those states attempted to shut down federally regulated designated contract markets. The New York cases now add to the growing legal conflict over event-based trading platforms.

Advertisement

Source link

Continue Reading
Click to comment

You must be logged in to post a comment Login

Leave a Reply

Crypto World

Claude Mythos Identifies 271 Vulnerabilities in Mozilla’s Firefox

Published

on

Claude Mythos Identifies 271 Vulnerabilities in Mozilla’s Firefox

Mozilla shipped Firefox 150 this week with patches for 271 security vulnerabilities discovered by Anthropic’s Claude Mythos Preview in an initial evaluation.

The scan forms part of Project Glasswing, Anthropic’s coordinated defense effort that grants limited Mythos access to critical infrastructure partners.

Mozilla Patches 271 Vulnerabilities After Claude Mythos Evaluation

In a recent blog post, Firefox CTO Bobby Holley explained that browser security has traditionally followed an offense-heavy model.

Under this approach, vendors acknowledged that fully eliminating exploits was unrealistic and instead focused on making attacks so costly or complex that they would not be widely abused.

Advertisement

“As these capabilities reach the hands of more defenders, many other teams are now experiencing the same vertigo we did when the findings first came into focus. For a hardened target, just one such bug would have been red alert in 2025, and so many at once makes you stop to wonder whether it’s even possible to keep up,” Holley said.

Follow us on X to get the latest news as it happens

The executive stated that since February, the Firefox team has been working intensively with advanced AI tools to identify and remediate “latent security vulnerabilities in the browser.” 

Earlier collaboration with Anthropic, using its Opus 4.6 model, led to fixes for 22 security-sensitive issues in Firefox 148.

The latest update represents a sharp escalation in scale, roughly a twelvefold increase, highlighting how AI-driven audits are reshaping modern cybersecurity practices.

Advertisement

“Encouragingly, we also haven’t seen any bugs that couldn’t have been found by an elite human researcher,’ he added.

Why the Firefox Result Matters for Crypto

The Firefox evaluation lands as exchanges weigh their own exposure to AI-assisted attacks. Anthropic says Mythos can “identify and then exploit zero-day vulnerabilities in every major operating system and every major web browser when directed by a user to do so.” 

This marks the same surface that hot wallets and decentralized applications depend on. While private keys are generally protected within wallet environments, attackers can still gain control over on-chain assets by tricking users into approving harmful transactions or exploiting compromised extensions.

Interest in such capabilities is already expanding. Coinbase has reportedly explored access to Anthropic’s Mythos. This builds on its existing use of Claude models for customer support across more than 100 regions.

Subscribe to our YouTube channel to watch leaders and journalists provide expert insights

Advertisement

The post Claude Mythos Identifies 271 Vulnerabilities in Mozilla’s Firefox appeared first on BeInCrypto.

Source link

Continue Reading

Crypto World

Mozilla uses Anthropic AI to uncover 271 Firefox vulnerabilities in internal test

Published

on

Mozilla uses Anthropic AI to uncover 271 Firefox vulnerabilities in internal test

Firefox developer Mozilla revealed that an early version of Anthropic’s Claude Mythos AI identified 271 vulnerabilities in the Firefox browser during internal testing, all of which were patched this week.

Summary

  • Mozilla said Anthropic’s Claude Mythos AI identified 271 vulnerabilities in Firefox during internal testing, all of which were patched this week.
  • The model showed it can scan large codebases and detect security flaws faster than traditional human-led reviews, though no findings went beyond what elite researchers could uncover.

The findings point to how advanced AI systems are starting to scan large codebases at a scale that once depended on long hours of manual work by cybersecurity researchers. Mozilla said even hardened software targets could now be examined more deeply in a shorter time.

“As these capabilities reach the hands of more defenders, many other teams are now experiencing the same vertigo we did when the findings first came into focus,” Mozilla wrote. “For a hardened target, just one such bug would have been red-alert in 2025, and so many at once makes you stop to wonder whether it’s even possible to keep up.”

Advertisement

Earlier testing using another Anthropic model had uncovered 22 security-sensitive bugs in a previous Firefox release. Despite that progress, Mozilla noted that eliminating software exploits entirely has long been considered unrealistic.

“Until now, the industry has largely fought security to a draw,” the company wrote. “Vendors of critical internet-exposed software like Firefox take security extremely seriously and have teams of people who get out of bed every morning thinking about how to keep users safe.”

Mozilla said the new system can review source code and flag weaknesses in ways that previously required highly specialized human expertise. Internal results showed the model did not uncover bugs beyond the reach of top-tier researchers.

Advertisement

“Some commentators predict that future AI models will unearth entirely new forms of vulnerabilities that defy our current comprehension, but we don’t think so,” the company said. “Software like Firefox is designed in a modular way for humans to be able to reason about its correctness. It is complex, but not arbitrarily complex.”

Launched in March, Claude Mythos is described by Anthropic as its most advanced model for reasoning, coding, and cybersecurity tasks, positioned above its earlier Opus series. Pre-release testing suggested it could identify thousands of unknown vulnerabilities across operating systems and browsers.

Access to the system remains limited through a restricted initiative known as Project Glasswing, which allows select firms, including Amazon, Apple, and Microsoft, to scan software for security flaws.

Security researchers warn that the same capability could be used offensively. AI tools that can analyze code at scale may also automate the discovery of exploitable bugs across widely used software systems.

Advertisement

Testing by the U.K.’s AI Security Institute showed the model could carry out complex cyber operations on its own, including completing a multi-stage corporate network attack simulation without human input. Those results have drawn attention from governments and intelligence agencies.

Despite earlier tensions with Donald Trump’s administration over the use of Anthropic’s technology, the National Security Agency has deployed Claude Mythos Preview on classified networks, according to people familiar with the matter. The move signals growing interest among U.S. agencies in AI tools that can detect critical software vulnerabilities.

Anthropic has also acknowledged that current cybersecurity benchmarks are struggling to keep pace with its latest models, raising questions about how to measure AI performance in this field.

Mozilla said the results suggest a possible turning point, where defenders may begin to narrow the long-standing gap with attackers.

Advertisement

“We are extremely proud of how our team rose to meet this challenge, and others will too,” the company wrote. 

“Our work isn’t finished, but we’ve turned the corner and can glimpse a future much better than just keeping up. Defenders finally have a chance to win, decisively.”

Source link

Advertisement
Continue Reading

Crypto World

Crypto Firms Report Flood of AI-Driven Bug Bounty Submissions

Published

on

Crypto Firms Report Flood of AI-Driven Bug Bounty Submissions

Crypto protocols have warned that an increase in AI use has led to a flood of bogus bug bounty submissions, putting a strain on teams trying to identify real threats to their protocols. 

Bug bounties are a system to reward “good” hackers for submitting reports about potential vulnerabilities and are popular in the crypto industry. AI has now made it easier to sift through large amounts of code to find possible bugs, though AI is also known to hallucinate

“AI is changing the way that bug bounty programs must operate,” said Barry Plunkett, co-CEO of Cosmos Labs, on Tuesday, responding to a bug bounty hunter who accused the protocol of ignoring their vulnerability report. 

Source: Barry Plunkett

“Our program has seen a 900% increase in submission volume from last year, on the order of 20-50 per day,” he said, adding that it’s led to a huge increase in both valid and invalid reports. 

Kadan Stadelmann, a blockchain developer and chief technology officer at Komodo Platform, told Cointelegraph he has also seen a notable increase in bug bounty submissions and payouts across organizations. 

Advertisement

“There has definitely been an increase in low-quality bug bounty submissions, some of which have been false positives, potentially suggesting AI sourcing. One potential explanation is that AI has caused a decrease in the cost to produce a report, resulting in an influx of submissions.” 

In January, Daniel Stenberg, the creator of the open-source data transfer tool curl, which is used in many apps, including blockchain infrastructure, announced he was ending his bug bounty program because of an influx of “AI slop in vulnerability reports,” and he was exhausted from sifting through them.

The creator of the open-source data transfer tool curl said he has received an influx of bug bounty submissions. Source: Daniel Stenberg

HackerOne, one of the largest bug bounty platforms in the world, reported in January that there were 85,000 valid bounty submissions in 2025, up 7% from the previous year.

AI could be both the cause and the solution

Plunkett said Cosmos Labs has already started to adapt its approach as a result of the uptick in bug bounty submissions by tightening how it scores submissions, prioritizing trusted researchers with a proven track record and working with other bug bounty providers that offer more advanced triage.

Meanwhile, Stadelmann said bug bounty programs have proven integral to defending decentralized systems, and adopting AI to assist in sifting through the noise could be a solution.

“Blockchain teams will have to create AI deterrents to sift through incoming bug bounties. The smaller the team, the bigger the problem of increased bug bounties will become. Software engineers won’t have the capacity to examine everything,” he said.

Advertisement

“This is where defensive AI systems to automatically sift through incoming bug bounties will be crucial. Teams dependent on bug bounties will need to develop stricter standards on their bug bounty programs as a means of lowering the number of incoming reports.”

Related: Crypto hackers stole $17B over past 10 years: DefiLlama