US Eyes Federal Crypto Crime Task Force as SpaceX Perps Imply $2.2T Value

Crypto News

US lawmakers have introduced bipartisan legislation to establish a Federal Cryptocurrency Theft Task Force, a cross-agency body uniting the Department of Justice, FBI, Department of Homeland Security and the Treasury under a single command. The proposal, filed in the House by a Republican and a Democratic representative, would place the attorney general in charge of coordinating investigations, victim support and inter-agency intelligence sharing. Sponsors point to roughly $11 billion in digital-asset theft and fraud losses over the past year, with no central reporting channel for victims. DeFi protocols and exchanges remain prime targets, particularly for North Korea-linked hacking crews that have drained billions from on-chain systems.

Crypto derivatives markets are pricing Elon Musk's SpaceX well above its planned listing terms. Perpetual futures tied to the company trade near $165 per share on Hyperliquid and Binance, implying a valuation around $2.2 trillion versus the roughly $1.8 trillion suggested by the $135 IPO price. The offering is reportedly oversubscribed more than fourfold. Open interest reached about $145 million on Hyperliquid and $184 million on Binance, with daily turnover in the tens of millions. Skeptics, including short-seller Jim Chanos, dismiss the deal as a “hopes-and-dreams” listing, while one analyst pegs fair value at just $63 — underscoring how leveraged retail demand can distort pre-listing price discovery on a DEX.

Enterprise security is being reshaped by autonomous AI, and the threat landscape is shifting with it. A major zero-trust vendor unveiled an agentic framework letting administrators manage policy and incident response through natural-language commands, while its platform now secures more than 750 billion transactions daily. A companion threat report found phishing volume fell 20% year over year for a second straight year, yet attacks grew more sophisticated. Researchers logged 413,524 AI-generated websites, roughly 10% of them outright malicious, and noted that 95.2% of phishing now hides inside encrypted traffic — evading any defense lacking deep inspection. Generative AI, the report argues, has shifted attackers from volume to quality.

Enterprise AI startup Jedify closed a $24 million Series A to build what it calls a context graph, a semantic layer that stitches together a company's scattered data — CRM records, financial systems, documents, Slack threads and meeting transcripts — so AI agents can act reliably on real workflows. The round was led by Norwest with Snowflake Ventures joining as a strategic backer, pushing cumulative funding past $33 million. The company positions its patent-pending semantic fusion technology as model-agnostic, arguing that decoupling the data layer from any single model avoids vendor lock-in and better satisfies large enterprises' governance demands as agentic AI moves into production.

A Canadian resource developer is fusing natural hydrogen exploration with AI infrastructure ambitions. Quebec Innovative Materials appointed Jean-Benoît Trahan, president of Enbridge Gas Québec, to its board to accelerate a strategy that pairs naturally occurring hydrogen with off-grid AI data centers. Drilling at the West Advocate site in Nova Scotia returned hydrogen concentrations as high as 10.77%, with methane and carbon dioxide near detection limits — results the company reads as evidence of a structurally controlled hydrogen system. Through a college partnership it is developing hydrogen-based microgrids starting at 15-25 kilowatts and scaling beyond 50, aimed at powering AI workloads in grid-constrained locations.

Another industrial player is staking out the physical edge of AI. RMX Industries unveiled QuantrusX, an edge-intelligence platform designed to interpret data and support decisions directly where it is generated — factories, equipment, sensors and vehicles — rather than in distant cloud servers, cutting latency for real-time response. The system rests on two proprietary layers: EDNA, a self-improving intelligence tier that refines performance from field inputs, and MILDRED, an edge-inference engine that applies that learning on site. The firm withheld deployment models, pricing and launch timing, promising a commercialization roadmap in the coming weeks as it courts industrial customers.

Read together, these developments trace a single arc: artificial intelligence is now the connective tissue running through crypto markets, enterprise security and capital formation alike — and the rails are increasingly on-chain. COINOTAG's aggregate data frames the backdrop, with the Fear & Greed Index pinned at 12, signaling extreme fear amid a broader bear market, Bitcoin dominance at 70.4% and total crypto market capitalization near $1.78 trillion. That risk-off posture coincides with institutions wiring AI agents directly into trading accounts and banks settling tokenized cash on public blockchain rails, per company disclosures. As autonomous agents gain authority over real money, the proposed federal theft task force looks less like overreach and more like infrastructure for a market where AI-driven fraud and AI-driven finance now scale together.