Bug hunting has become a whole lot more exciting in recent months with both Anthropic and OpenAI touting their latest models (that also happen to be super-scary exploit machines). On Tuesday, as Anthropic announced a fourfold expansion to its Mythos preview program, Cisco jumped into the fray, praising the transformative power of AI - but without disclosing how many bugs the latest frontier models found. Cisco SVP Anthony Grieco in a Tuesday blog said that the advanced AI systems, including Anthropic’s Claude Mythos Preview and OpenAI’s GPT 5.5-Cyber, scanned 1.8 billion lines of code in eight weeks looking for vulnerabilities in Cisco products - a task that otherwise would have taken the networking giant’s advanced security team eight years to accomplish. However, Grieco, who heads Cisco’s security and trust organization, didn’t say how many flaws Mythos and other frontier models uncovered, or if they have all been fixed. The company also did not respond to The Register’s questions about this. Grieco did say that “speed is only half the story,” calling the “real breakthrough” the “scale, quality, and impact” of the models’ findings. The 1.8 billion lines of code, written in more than 25 different languages, spanned Cisco’s portfolio, we’re told. Netzilla paired the models with a “human-guided harness,” and achieved a false positive rate of under 3 percent, Grieco wrote. “Rather than focusing on a specific scope for a security evaluation, we can assess entire code bases of a product. It’s like switching from a flashlight to a flood light to illuminate a dark room,” he said. “Because each finding is validated through a hybrid of AI and human expertise, our engineering teams are receiving actionable intelligence rather than a wall of warnings.” Meanwhile, Anthropic on Tuesday said it expanded Project Glasswing to about 150 additional organizations, bringing the total partner count to about 200. Project Glasswing is the AI giant’s controlled partner program for giving selected orgs access to Claude Mythos Preview. When it announced the new model and partner program in early April, Anthropic limited the preview to about 50 entities, claiming Mythos is so good at finding and exploiting security holes that all hell would break loose and the zombie apocalypse would hit should the model fall into the wrong hands. Since April, these select government agencies and corporate partners - including Cisco - have been using Mythos to find and fix bugs in their own products. Palo Alto Networks, one of the original Project Glasswing partners, said in May that after spending a month using frontier AI models, including Anthropic's Mythos, to scan more than 130 products across its three platforms, it uncovered 26 CVEs representing 75 underlying security issues. For comparison, the cybersecurity giant said it typically discloses fewer than five CVEs per month. At the time, a company exec forecast “a narrow three-to-five-month window for organizations to outpace the adversary before AI-driven exploits start to become the new norm.” The newly expanded Project Glasswing spans more than 15 countries, and, while an Anthropic spokesperson declined to name them or the new partner companies, it’s a safe bet that these are likely Western and/or “friendly” nations. So not China and Russia. Rubrik, a data security and management vendor, said that it was among the new Glasswing partners. The expanded list also reportedly includes the Korea Internet and Security Agency (KISA), along with Samsung Electronics, SK hynix, and SK Telecom, among other Korean companies. “The group covers several industries that weren’t well-represented in our initial cohort, such as power, water, healthcare, communications, and hardware,” according to a Tuesday Anthropic blog. “And many of the new partners are vendors - companies or nonprofits that maintain codebases that are relied upon by lots of other organizations around the world, including governments.” Each new partner must meet Anthropic’s security requirements before they gain access to Mythos, the company added. ®

Updated Claude has gone offline on the day after its maker Anthropic filed for what is expected to be a blockbuster IPO. The popular chatbot and coding tool suffered an outage from around 0600 UTC on Tuesday, with Anthropic saying the team was investigating the issue. By 1042 UTC, the status page said a fix had been implemented and the technical team was monitoring the results. Some users continued to complain to The Register about the disruption after that point. Downdetector shows users reporting the LLM service from Anthropic was down twice momentarily yesterday. A surge in reports started from 0700 UTC today and peaked at 0948 UTC, after which they started to fall. The timing of the technical difficulties is unfortunate for Anthropic, the company founded in 2021 by former employees of OpenAI. Yesterday, the company submitted a draft registration statement to the US Securities and Exchange Commission for a proposed initial public offering (IPO) for common stock. It has yet to set the price of shares but a May funding round which raised $65 billion valued the company at around $965 billion (£717 billion), more than rival OpenAI, makers of chatbot ChatGPT. It is set to be a monster year for IPOs, with Elon Musk’s SpaceX and OpenAI also anticipated to join the frenzy. Each is expected to be valued at around $1 trillion. Claude Code has bolstered Anthropic’s reputation and has been well-received by some developers. Reportedly, Anthropic earns more in revenue despite having a fraction of the users OpenAI claims to serve. According to the Wall Street Journal, Anthropic is on the verge of reporting its first quarter of operating profit, according to people at the company who spoke anonymously. ® Updated to add at 1618 UTC, June 2: A source from Anthropic told us: "Earlier today, some users may have experienced intermittent issues or slower response times across Claude Code, Cowork, Claude.ai, and the API. Service has been fully restored, and we're grateful to our users for their patience. Customers accessing Claude through Google Cloud's Vertex AI or Amazon Bedrock were not affected."

It's 8 pm. Do you know where your agents are? Snowflake plans to buy Natoma, a startup that has made a gateway for managing AI agent permissions across enterprise applications, so users can focus on getting work done without wondering if their agents have violated security policies. During Snowflake's first-quarter fiscal 2027 earnings call, company CEO Sridhar Ramaswamy said Natoma is a critical piece of the company's broader strategy around what he called the "agentic control plane," where AI agents can take actions across business systems while still operating within the organization’s security controls. "With Natoma, users can do things like send emails, summarize Slack conversations, check calendars, and open Jira tickets without ever leaving Snowflake Intelligence or Coco," Ramaswamy said during the call, referring to two of Snowflake's AI products. “The important point is not just convenience. It is control. These actions happen from a governed environment with enterprise security, permissions, observability, and policy enforcement built in.” Natoma’s software acts as a gateway for Model Context Protocol (MCP) servers, connectors that allow AI agents to interact with external software tools. The platform enforces identity verification, access policies, and audit controls at the level of individual tool calls, tracking who requested an action, what permissions they hold, and whether the system should allow the action to proceed. “The reason MCP and Natoma are a big deal is they now bring the entirety of SaaS application context into these products, and so I've done deep research reports, for example, that can now look for information from Snowflake, from the web, from Google Docs, also from Slack, and synthesize that into something that is astoundingly meaningful,” Ramaswamy said. “And these also let you take action instantly. You can flag somebody, you can compose emails and send it, and you can take actions on the underlying applications, and that's the promise.” In a blog post, Natoma's four founders — Pratyus Patnaik, Will Potter, Zachary Hart, and Paresh Bhaya — said Natoma brings the secure connectivity, identity, and governance layer that helps Snowflake experiences extend safely into the applications their teams already use. "We started Natoma in 2024 with a simple belief: AI agents would fundamentally change how work gets done inside enterprises, but they would only reach production if organizations could trust and control how those agents access data, use tools, and take action," they wrote. "Snowflake sees the same future we’ve been building for at Natoma: enterprises need a trusted control plane for the agentic era. They need AI grounded in their own data, governed by their own policies, and connected to the full complexity of their technology stacks." Financial terms of the acquisition were not announced. If it passes customary regulatory and closing conditions, the deal would bring 20 employees to Snowflake. This is Snowflake's sixth acquisition announcement since June 2025, when it said it would buy PostgreSQL provider Crunchy Data for what a source told CNBC was $250 million. In November 2025, Snowflake announced that it would buy database migration outfit Datometry and data discovery platform Select Star. No sale price was provided for either transaction. In January, Snowflake said that it would buy Observe, an AI-powered observability platform, for $1 billion. The next month, Snowflake said that it planned to buy TensorStax, an AI-powered data pipeline planner. The Natoma deal was announced the same day that Snowflake signed a five-year, $6 billion agreement with AWS centered on Graviton-powered compute and AI infrastructure for its growing agentic AI ambitions. During the earnings call, Ramaswamy said that the acquisition pushes Snowflake's agentic control plane beyond data and development workflows into everyday applications where work actually happens. He said that Natoma's integration would allow Snowflake's Cortex Code, also known as “Coco,” and Snowflake Intelligence products to become a single interface for daily tasks including querying enterprise data, updating CRM records, searching across file storage, and managing communications. "These actions happen from a governed environment with enterprise security, permissions, observability, and policy enforcement built in," Ramaswamy said. Mayank Upadhyay, chief security and trust officer and VP of engineering at Snowflake, wrote in a blog post announcing the Natoma deal that the tool summarizes his unread emails, searches across Slack and Google Drive when he cannot remember where something was shared, and surfaces what he needs without switching between applications. He described the Natoma acquisition as a continuation of work Snowflake started earlier in the year with AI guardrails and prompt injection protection, building toward what he said was a portfolio for a more secure enterprise AI.®

Cybersecurity vendor Arctic Wolf has laid off 250 workers in a restructuring that it says is designed to position the company to invest more in AI through its superintelligence platform and agentic Security Operations Center (SOC), a company spokesperson told The Register. “We recently made an organizational restructuring to better align the company’s structure and investments with our long‑term strategy,” a spokesperson said. “While these decisions are difficult, they position Arctic Wolf to operate more efficiently, continue investing in our Superintelligence platform and Agentic SOC, and deliver strong value to customers. We remain confident in our direction and momentum.” The layoffs appear to represent less than 10 percent of the total workforce. Arctic Wolf is a privately held company and does not publish a current headcount, but in December 2024, the company said it employed more than 2,600 workers, according to a press release it issued at the time. According to the website PitchBook, Arctic Wolf has 3,323 employees. The job cuts appeared to fall across several categories including sales, product development, and marketing. Some had been with the company for four years or more in revenue-generating roles such as sales engineer. One senior systems engineer with experience in datacenter infrastructure and cyber threat detection said on LinkedIn he was let go after more than a year with the company. “Wow! I was not expecting to have such a swing in posts this week from super positive to negative. Today I was laid off by Arctic Wolf due to restructuring,” wrote one sales engineer the day after he wrote a post about the success they had experienced last year. Alongside its five global SOCs, Arctic Wolf has offices in Waterloo, Ontario; San Antonio, Texas; Eden Prairie, Minnesota; Bengaluru, India, and other locations worldwide. Arctic Wolf operates in crowded endpoint detection and response (EDR) and managed detection and response (MDR) markets alongside CrowdStrike, Rapid7, and SentinelOne. It also competes for channel partners and customers with the likes of Huntress and Blackpoint Cyber. The company has bet on its Aurora Superintelligence Platform that combines security data, a “Swarm of Experts” AI agents and humans in the loop to protect customers' systems. ®