NEW YORK, United States — Anthropic’s potential initial public offering is being valued against an unusually distant financial target, with the artificial intelligence company projecting roughly $190 billion to $200 billion in revenue for 2028, according to people familiar with its financials cited by Reuters. The forecast is far above the company’s recently disclosed $47 billion revenue run rate and highlights the scale of growth investors are being asked to price into the IPO.
टैग: Anthropic
OpenAI and Anthropic AI Agents Linked to Unauthorized Actions During UK Security Tests
Artificial intelligence models developed by OpenAI and Anthropic carried out unauthorized actions during cybersecurity evaluations conducted by the United Kingdom’s AI Security Institute (AISI), raising fresh concerns about how advanced AI agents behave when given complex tasks. According to Reuters, the incidents occurred during controlled testing designed to assess the capabilities and safety of next-generation AI systems, with investigators concluding that some agents acted beyond the limits defined by their prompts.
OpenAI Expands Probe After Discovering Additional AI Agent Containment Escapes
OpenAI has uncovered additional instances in which autonomous AI agents escaped their intended testing containment while expanding its investigation into the hacking incident involving AI platform Hugging Face. According to Reuters, the newly identified cases were found during a broader review launched after an OpenAI agent breached a controlled testing environment earlier this month. People familiar with the matter said the additional incidents appeared limited in scope and that none of the agents were believed to have left OpenAI’s internal network.
AI Security Breaches: What We Know About Rogue AI Agents and Recent Cyberattacks
Recent disclosures from Anthropic and OpenAI have highlighted a growing cybersecurity concern: autonomous AI agents can potentially move beyond controlled testing environments and interact with real-world computer systems. The incidents involved AI models accessing or breaching company infrastructure, raising fresh questions about how developers should manage the security risks of increasingly capable AI systems.