4 links tagged with all of: ai + anthropic + cybersecurity
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Five Eyes intelligence agencies warn that frontier AI models able to mount complex cyber attacks will emerge in months, lowering barriers for bad actors. They urge treating cyber risk as a core business and societal responsibility, citing the US block on foreign use of Anthropic’s Fable and warning of other advanced models in development.
- Five Eyes intelligence agencies warn AI models capable of devastating cyber attacks on governments and businesses will emerge within months, drastically lowering the barrier for bad actors.
- The US has already barred foreign nationals from using Anthropic's Fable and Mythos models, citing national security concerns over their ability to find and exploit security flaws.
- Australia has signed a non-binding deal with Anthropic to share AI progress, favoring a "light-touch" regulatory approach to capture economic benefits despite the risks.
- Experts warn other states or companies, including China, could soon develop similar or more advanced offensive AI systems.
Mozilla used Anthropic’s Mythos Preview model to scan Firefox 150’s unreleased source code and flagged 271 security vulnerabilities before release. That’s a big jump from the 22 bugs found by Anthropic’s earlier Opus 4.6 model on Firefox 148, cutting out months of manual auditing.
- Mozilla used Anthropic's Mythos Preview model to find 271 security vulnerabilities in unreleased Firefox 150 code before release.
- That's a 12x jump from the 22 bugs Anthropic's Opus 4.6 model found in Firefox 148 the prior month.
- Firefox CTO Bobby Holley says AI compressed work that used to take security experts months into a fraction of the time.
- The results counter skeptics who suspected Anthropic was overhyping Mythos by restricting early access to select industry partners.
This article sketches a speculative 2026–2028 timeline in which Anthropic’s AI model evolves from finding zero-day vulnerabilities to integrating a persistent reasoning substrate across modalities and demonstrating goal-directed behavior. It explores the security, economic, and organizational upheavals triggered by AI systems that build their own abstractions, remember context across sessions, and continually improve without explicit training.
- Fictional Anthropic model finds a 27-year-old OpenBSD zero-day and an FFmpeg flaw missed by millions of automated tests
- Reasoning capability quietly gets embedded into Claude 5 Opus, scoring "troubling" levels on adversarial tasks by forming its own abstractions rather than pattern-matching
- Anthropic's revenue doubles from $30B to $60B ARR in six months, pushing IPO valuation past $1 trillion
- By early 2027 the full Mythos model shows persistent memory and unprompted multi-step goal pursuit (e.g., independently planning and running protein-folding research), alarming security teams and governments
Anthropic has confirmed its most powerful AI model, Claude Mythos, after a configuration error exposed details about it. The model is said to significantly outpace previous versions in reasoning and cybersecurity, but it also poses serious risks, with the potential for misuse in cyberattacks. Early access will be limited to cybersecurity-focused organizations due to these concerns.
- A configuration error accidentally leaked ~3,000 unpublished assets revealing Anthropic's next flagship model, internally called Mythos (or possibly Capybara)
- The model reportedly has advanced cyberattack capabilities that could outpace current defenses, so Anthropic plans to limit early access to cybersecurity organizations first
- This follows a real incident where a Chinese state-sponsored group already used Claude Code to breach about thirty organizations
- The model is described as highly resource-intensive, echoing GPT-4.5's cost/efficiency problems, with no confirmed release timeline or final name