We’re Tracking the Future of Security

Category: Emerging Technologies

  • Agility Robotics Unveils Digit 5, a Humanoid Built to Work Without Safety Cages

    Agility Robotics Unveils Digit 5, a Humanoid Built to Work Without Safety Cages

    Agility Robotics unveiled Digit 5, the fifth generation of its general-purpose humanoid robot and the company’s first designed for what it calls “cooperatively safe work at scale” — operating alongside people without the physical safety cages traditional industrial robots require. The robot uses sensors, human-detection and independent motion control to stop or reposition itself when a person moves into its workspace, rather than relying on fixed barriers to keep people out.

    Digit 5 stands 5 feet 11 inches tall, weighs 284 pounds and can reach up to 7.2 feet, with grippers that let it lift up to 50 pounds repeatedly and recharge in nine minutes for shifts the company says can run more than 20 hours a day. Agility reports more than $300 million in multi-year customer orders as of May 2026 and says it plans to make Digit available for commercial deployment outside North America for the first time, starting with the EU and UK, with CE and other regional certification marks.

    Why it matters

    Most humanoid and industrial robots still depend on fenced-off work cells to keep people safe; a robot engineered to share floor space with workers without that barrier changes the layout calculus for warehouses and factories, and shifts more of the safety burden onto the robot’s own sensing and control systems rather than the facility’s physical design.

    Sources

  • Oracle Ships Java 27 With Post-Quantum Hybrid Key Exchange for TLS 1.3

    Oracle Ships Java 27 With Post-Quantum Hybrid Key Exchange for TLS 1.3

    Oracle released Java 27, the platform’s second non-LTS update since JDK 25, headlined by JEP 527: Post-Quantum Hybrid Key Exchange for TLS 1.3. The feature implements the IETF’s Hybrid Key Exchange in TLS 1.3 specification, pairing a quantum-resistant key-exchange algorithm with a conventional one in the same handshake so a connection stays secure as long as either algorithm holds up. The release ships nine JEPs in total, five of which remain in preview or incubator status.

    The hybrid approach is designed to blunt “harvest now, decrypt later” attacks, in which adversaries capture encrypted traffic today and store it until a sufficiently powerful quantum computer can break the classical encryption protecting it. Because Java 27 combines the new algorithm with an existing one rather than replacing it outright, Oracle says organizations can adopt the protection with minimal disruption to existing TLS-dependent applications.

    Why it matters

    TLS underpins the great majority of encrypted communication between servers, applications and connected devices; building quantum-resistant key exchange into a mainstream runtime like Java gives large swaths of enterprise and industrial software a path to post-quantum protection without a wholesale cryptographic migration.

    Sources

  • Sam Altman’s World Launches Iris-Verified ‘World Money’ App Across 150+ Countries

    Sam Altman’s World Launches Iris-Verified ‘World Money’ App Across 150+ Countries

    World, the identity and cryptocurrency project from Tools for Humanity co-founded by Sam Altman and Alex Blania, launched “World Money,” a self-custodial financial app now live in more than 150 countries supporting balances in eight currencies. The app integrates Stripe for converting Apple Pay funds to stablecoins, Circle’s USDC, Bridge for virtual bank and payroll accounts, Morpho for yield, and Kalshi for prediction-market trading.

    World ID, the platform’s iris-scan-based biometric identity credential, is positioned as an anti-fraud and anti-fake-account layer, with verified users unlocking additional rewards within the app. The launch extends World’s biometric identity infrastructure — built primarily to prove a user is a unique human rather than a bot — into mainstream consumer payments and cross-border finance.

    Why it matters

    Tying a biometric identity credential directly to a payments app is a significant step in normalizing iris-scan verification for everyday financial transactions, a use case with different privacy and consent stakes than the anti-bot verification World was originally built for.

    Sources

  • Cohere and Aleph Alpha Finalize $20B Merger to Build ‘Sovereign AI’ Alternative

    Cohere and Aleph Alpha Finalize $20B Merger to Build ‘Sovereign AI’ Alternative

    Canada’s Cohere and Germany’s Aleph Alpha signed a definitive merger agreement, combining into a single business that will operate under the Cohere name with dual headquarters in Toronto and Berlin. Aleph Alpha’s Heidelberg office will focus on research under the combined company, and Aleph Alpha co-chief Ilhan Scheer becomes chief operating officer of the merged entity.

    Lidl parent Schwarz Group is investing 500 million euros in the combined company as part of the deal, which was first disclosed in April 2026 at an estimated $20 billion valuation. The transaction remains subject to regulatory approval. Cohere chief executive Aidan Gomez said the merger is meant to meet demand from government and enterprise customers for AI systems that are “powerful enough to compete, but secure and governable enough to trust,” particularly customers wanting data residency and independence from US cloud providers.

    Why it matters

    Governments and regulated industries in Europe have been pushing for AI infrastructure they can host and control domestically rather than relying on US hyperscalers — a combined Cohere-Aleph Alpha is explicitly positioning itself to serve that “sovereign AI” demand.

    Sources

  • King Charles Convenes Nvidia, OpenAI, Anthropic and DeepMind Leaders for AI Safety Summit

    King Charles Convenes Nvidia, OpenAI, Anthropic and DeepMind Leaders for AI Safety Summit

    King Charles III hosted senior leaders from Nvidia, OpenAI, Google DeepMind and Anthropic at Dumfries House in Ayrshire, Scotland, for a summit on AI safety organized by the Ditchley Foundation. Reported attendees included Nvidia chief executive Jensen Huang, Google DeepMind founder Demis Hassabis and OpenAI chief financial officer Sarah Friar.

    Discussion topics reportedly included whether the AI industry needs a shared code of conduct and how autonomous AI agents can be advanced responsibly. The gathering is a separate, multi-stakeholder dialogue distinct from the public disagreement between Nvidia’s Huang and Anthropic and OpenAI executives over the pace of AI safety measures reported earlier this week.

    Why it matters

    A UK monarch-convened, closed-door summit signals that governments outside the US are trying to build their own channels of influence over frontier AI labs’ safety practices, rather than leaving the conversation entirely to Washington and the companies themselves.

    Sources

  • Airwise and UAS Sentry Integrate Remote ID Drone Detection Into Airspace Platform

    Airwise and UAS Sentry Integrate Remote ID Drone Detection Into Airspace Platform

    Airwise Solutions and UAS Sentry announced a partnership integrating UAS Sentry’s Nexus Remote ID drone-detection capability into Airwise’s Nexus operational airspace platform. The integration displays detected Remote ID signals from nearby drones alongside an organization’s own drone operations, airspace data, mission activity, telemetry, FAA services and weather in a single operating picture.

    The companies are targeting critical infrastructure operators, utilities, energy sites, public-safety agencies, airports and industrial facilities that need visibility into unauthorized drone activity in their airspace — not just their own fleet’s operations.

    Why it matters

    Remote ID data gives facility operators a legal, standards-based way to see who is flying a drone nearby without deploying their own detection hardware, which lowers the barrier to basic airspace awareness for sites that can’t justify a full counter-UAS system.

    Sources

  • At GSX 2026, Security Executives Push Back Against AI Hype in Favor of Practical Results

    At GSX 2026, Security Executives Push Back Against AI Hype in Favor of Practical Results

    On the second day of GSX 2026 in Atlanta, Security Info Watch interviewed seven security-industry executives about what customers and partners are actually asking for on the show floor. The consistent theme across the conversations: integration and day-to-day usability concerns are outweighing pure AI-feature hype, and reliable service delivery remains the top purchasing driver for many buyers.

    Executives also pointed to longer-term questions emerging about the future of access-control credentials as AI capabilities proliferate across security systems, suggesting the next wave of purchasing decisions may hinge less on which vendor has the most AI features and more on which systems integrate cleanly with what customers already operate.

    Why it matters

    The pushback signals that buyers in physical security are becoming more discerning about AI claims after two years of heavy marketing around the technology, which could shift vendor competition toward integration quality and service reliability rather than feature lists.

    Sources

  • Italian Startup Exein Hits $1.7B Valuation to Secure ‘Physical AI’ Robots and Drones

    Italian Startup Exein Hits $1.7B Valuation to Secure ‘Physical AI’ Robots and Drones

    Rome-based cybersecurity startup Exein raised $270 million in an oversubscribed funding round, pushing its valuation to $1.7 billion and making it Europe’s most valuable cybersecurity company, the company said this week. The round was led by Headline, with participation from Sofina, Goldman Sachs, the EIB Group’s European Tech Champions Initiative and KfW Capital, among others.

    Exein’s Photon runtime-security platform already secures more than 2 billion connected devices across industrial automation, automotive, energy, healthcare, aerospace and semiconductor manufacturing. The company said it plans to use the new capital to build a proprietary foundation model aimed specifically at securing “Physical AI” systems — industrial robots, drones and autonomous vehicles that increasingly run their own AI models at the edge — with a target release in the first quarter of 2027. Exein reported that annual recurring revenue roughly quadrupled in the first half of 2026 and said it will open a new office in the San Francisco Bay Area as part of a US and Asia-Pacific expansion.

    Why it matters

    As physical-security systems increasingly embed AI models directly on cameras, robots and industrial controllers rather than in the cloud, runtime security for those edge AI systems becomes a new attack surface that traditional endpoint or network security tools were not built to cover.

    Sources

  • Anthropic Says Seven China-Based AI Labs Ran Industrial-Scale Model Distillation Attacks Against Claude

    Anthropic Says Seven China-Based AI Labs Ran Industrial-Scale Model Distillation Attacks Against Claude

    Anthropic said it identified and disrupted industrial-scale “distillation” attacks against its Claude models originating from seven China-based AI labs, according to a threat intelligence report the company released on September 11, 2026, and covered by The Hacker News. The company named Alibaba, Moonshot AI, DeepSeek, Xiaomi and Zhipu, also known as Z.ai, among the labs involved, saying they routed user conversations through Claude and used its responses as training data to improve their own models in violation of Anthropic’s terms of service.

    Anthropic said the campaigns specifically targeted Claude’s most commercially valuable capabilities, including agentic reasoning, coding and tool use, and that some of the intercepted exchanges contained sensitive information belonging to individual users, multinational companies and state-affiliated actors. According to reporting on the report, Moonshot alone routed nearly 300,000 customer requests to Claude over a 10-day period through a network of more than 5,000 fraudulent accounts, with total distillation activity exceeding 23 million exchanges between May and July.

    Anthropic said labs used commercial proxy services and account networks to evade detection, allowing new fraudulent accounts to replace banned ones without interruption. The disclosure adds to a pattern of Western frontier labs publicly accusing competitors of extracting model capabilities without authorization, a dynamic that is intensifying as US and Chinese AI companies compete for enterprise and developer market share.

    Why it matters

    Routing third-party traffic through a commercial model’s API to harvest its outputs is itself a data-handling risk for the end users caught in the middle, since their prompts and outputs can transit infrastructure they never consented to; enterprises building on any AI API should ask vendors directly what abuse-detection and data-isolation controls apply to their traffic.

    Sources

  • Musk Proposes Cross-Lab AI Model Testing, Including Chinese Developers

    Musk Proposes Cross-Lab AI Model Testing, Including Chinese Developers

    Elon Musk urged the world’s leading AI developers, including several Chinese labs, to submit their models to safety testing by competitors, speaking at the All-In Summit in Los Angeles on September 15, 2026, according to CNBC. Musk said xAI, OpenAI, Anthropic, Google, Meta and “three or four of the leading Chinese companies” should allow rivals to run a “test harness” on their models to flag safety concerns before release. “Instead of grading your own homework, you would at least have competitors grading your homework and raising the alarm if they see concerns,” Musk said, according to CNBC.

    The proposal came as debate intensified following a weekend in which Anthropic CEO Dario Amodei called for the industry to slow the pace of frontier model development, a position Musk and OpenAI’s Sam Altman both publicly backed. A spokesperson for China’s Foreign Ministry dismissed the broader push for a slowdown as “fear mongering,” according to remarks reported by the South China Morning Post.

    The exchange illustrates how quickly a safety debate largely confined to AI labs has spilled into geopolitics, with implementation of any cross-lab testing regime facing significant hurdles given the commercial rivalry between the companies involved and the strategic sensitivity of sharing frontier models across the US-China divide.

    Why it matters

    A cross-lab testing regime, even a voluntary one, would be a meaningful departure from today’s self-graded AI safety disclosures; whether it goes beyond a talking point will depend on whether any lab actually opens model access to a named competitor.

    Sources