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first_img Cybersecurity company Reach Security has completed over 50 million USD in Series B financing

San Francisco-based cybersecurity company Reach Security announced on October 13, 2026, the completion of over $50 million in Series B financing, led by Top Tier Capital Partners, with participation from Ballistic Ventures, In-Q-Tel, Microsoft's venture fund M12, and existing investors. The funds will be used for product innovation, expanding integration partnerships, international expansion, and growth in the U.S. enterprise and federal markets.At the same time, Reach Everywhere was launched, integrating security control insights into exposure management, security operations centers, incident response, compliance platforms, and AI security environments through the Reach API, MCP servers, and technology partners. The company claims its AI reads the real-time configurations of existing security products in enterprises, determines whether exploitation paths are blocked, and points out the specific rules that dictate that outcome, allowing for immediate remediation when protection is bypassed.According to VulnCheck, less than 1.3% of vulnerabilities were exploited in the wild in the first half of 2026; citing CrowdStrike, AI-enabled adversary actions increased by 89%, with the shortest time for attackers to breach being as little as 27 seconds. The number of customers has doubled in the past 12 months, including Autodesk, Insurity, MPS, and Ensemble Health Partners. Independent analysis by TAG Infosphere states that organizations using Reach save over 160 hours weekly on control reviews, situational assessments, and incident investigations, with a return on investment of 156%.

first_img An OpenAI engineer was arrested for allegedly installing hidden recording devices in the office, and the company stated that AI assisted in the identification

According to Decrypt, the Federal Bureau of Investigation (FBI) arrested OpenAI engineer Abdulrahman Alfozan on October 9. The suspect, 35 years old and of Saudi nationality, has been employed at OpenAI since July 2025 and is accused of using or attempting to use devices to intercept oral communications. He made his first appearance in federal court this Tuesday. OpenAI stated that it has referred the matter to the FBI and thanked the relevant agents and prosecutors for their swift action, while the FBI's investigation is ongoing.OpenAI released a statement on X, stating that the company discovered a sophisticated recording device hidden in the office and used its own model to analyze the device and its origin, ultimately identifying that an employee placed it there a few days prior. According to the criminal complaint, the device was discovered around September 30, plugged into a USB port on the back of a television, wrapped in paper towels, with its contents encrypted, and was installed around September 28. Surveillance footage showed that Alfozan was seen near the conference room multiple times before the device was discovered, but he had neither the authority to enter that room nor to attend the related meetings, which typically involved confidential technical and strategic information.The complaint states that before the device was installed, Alfozan used internal productivity tools to inquire about OpenAI's office building address, conference rooms, room capacities, schedules, and locations of meetings between executives and external partners. A chatbot account associated with his spouse asked between September 24 and 30 how to create a continuous recording device, add Wi-Fi connectivity, enhance real-time listening capabilities, and encrypt the device's SD card.

first_img MegaETH ecosystem MNX launched, introducing futures for private AI companies such as OpenAI

According to CoinDesk, the cryptocurrency exchange MNX, developed by the prediction market platform Manifold Markets, officially launched on Tuesday, offering futures contracts linked to the valuations of private AI companies such as OpenAI, Anthropic, DeepSeek, and Moonshot. The platform is built on the MegaETH blockchain and completed a $6.4 million funding round in June, led by Village Global.Compared to existing products from OKX and Bitget, MNX's contracts expire at the end of 2027 and do not charge periodic funding rates; the perpetual contracts offered by Bitget and OKX have no expiration date. Max Killberg from Village Global stated that AI is driving one of the largest investment cycles in history, but the financial infrastructure surrounding it remains quite underdeveloped. The organization hopes to build financial markets around AI rather than just betting on another prediction market.Stephen Gruggett, co-founder of Manifold Markets, indicated that MNX's model is better suited for private companies like OpenAI and Anthropic, which have infrequent equity trades and are difficult to price. Traders can use up to three times leverage, with prices determined by trading activity on the MNX platform rather than external price sources.If the company is still not publicly listed when the contracts expire, the exchange will use public valuations from funding rounds, investment funds, or secondary markets; MNX currently does not serve U.S. customers but plans to obtain the necessary licenses and intends to launch markets covering a broader range of the AI economy, including company revenue, employment, housing, AI supply chains, and computing power.

Silicon Valley venture capital targets GPU computing power, a16z plans to expand with about 20,000 cards

Multiple venture capital firms in Silicon Valley are competing to secure GPU computing power to provide exclusive resources for their AI startups. a16z established a computing power pool of about 20,000 GPUs as early as 2024 and is negotiating expansion with data center companies Switch and Volta. General Catalyst plans to build a data center for its portfolio companies and has brought in the former head of NVIDIA DGX Cloud in May this year to oversee AI infrastructure operations.Even if AI startups complete their financing, they may not be able to rent GPUs in a timely manner. In April this year, major cloud providers like Microsoft were reported to prioritize allocating computing power to internal teams and large clients, leaving some startups facing months of waiting. a16z previously disclosed that during times of computing power shortages, prices that could originally be secured with a six-month contract might require a three-year commitment. Model training requires a large amount of GPU usage in a short period, while inference demand is difficult to predict, making it easy to waste funds by locking in computing power for several years in advance.a16z is concentrating on purchasing and leasing computing power through the Oxygen project, redistributing it to its portfolio companies, allowing them to access prices and contract terms typically reserved for large clients. In August this year, a16z co-led a $300 million financing round for Volta, which is valued at $2.4 billion, with investments covering both AI startups and data center companies providing computing power. The small venture capital firm Crucible Capital has built a cluster with 576 NVIDIA B300 GPUs for its portfolio companies to test, while also selling some computing power to a cutting-edge AI laboratory. This model allows venture capital firms to take on investments that were previously mainly borne by cloud providers and data center operators.
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