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Anthropic's Mythos AI Revealed for Hacking Capabilities and Limited Access

Anthropic developed an AI model called Mythos capable of identifying software vulnerabilities quickly. The company kept it private due to security concerns but is sharing it with select firms under Project Glasswing. Experts note it aids in finding flaws but does not uncover uniquely complex issues.

New Scientist
1 source·Apr 23, 7:42 PM(35 days ago)·2m read
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Anthropic, an AI company, created a model named Mythos that can detect cybersecurity vulnerabilities in software and operating systems. The model's existence was revealed last month through unsecured content on the company's website. Anthropic stated on its website that Mythos found thousands of high- and critical-severity vulnerabilities.

The company decided to keep Mythos from public access because of its hacking abilities, which could have severe implications for economies, public safety, and national security. Anthropic did not respond to requests for comment from New Scientist.

Testing Anthropic is providing access to Mythos to select companies including Amazon Web Services, Apple, Google, JPMorganChase, Microsoft, and NVIDIA through Project Glasswing. This initiative allows these firms to identify bugs in their software. Additionally, members of a private online forum gained unauthorized access by guessing the model's online location.

Bobby Holley at Firefox reported that Mythos helped identify 271 vulnerabilities in the web browser. He stated that none of the bugs were beyond what an elite human researcher could find.

The AI Security Institute tested Mythos and found it capable of attacking small, weakly defended systems but not highly secure ones. The institute noted it represents an improvement over previous models and warned that such capabilities are advancing rapidly.

The AI Security Institute did not provide further comment to New Scientist. Kevin Curran at Ulster University stated that Mythos triggered alarm in the security industry, with researchers divided on the threat level. Alan Woodward at the University of Surrey said the AI finds vulnerabilities faster and more thoroughly than humans but not ones humans could not discover.

Davi Ottenheimer described the situation as a legitimate capability reframed as a civilizational threat by a benefiting party.

indicate that Mythos could improve cybersecurity by allowing software maintainers to find and patch flaws efficiently. Anthropic stated that such AI models will ultimately benefit defenders more than attackers. Kevin Curran advised treating Mythos as a warning and preparing for similar capabilities in adversaries' hands within 18 months.

Key Facts

Mythos AI
developed by Anthropic for vulnerability detection
271 vulnerabilities
found in Firefox using Mythos
Project Glasswing
provides access to select tech and finance firms
AISI assessment
Mythos attacks small, vulnerable systems only
Thousands of flaws
discovered by Mythos in software

Story Timeline

4 events
  1. Last month

    Mythos's existence was revealed through unsecured content on Anthropic's website.

    1 source@NewScientist
  2. Past few weeks

    News emerged about Mythos's ability to identify cybersecurity flaws quickly.

    1 source@NewScientist
  3. Recent tests

    AI Security Institute tested Mythos and found it capable of attacking weakly defended systems.

    1 source@NewScientist
  4. Ongoing

    Select companies are accessing Mythos under Project Glasswing to find software bugs.

    1 source@NewScientist

Potential Impact

  1. 01

    Adversaries might gain similar hacking capabilities within 18 months.

  2. 02

    Software companies may patch vulnerabilities faster using tools like Mythos.

  3. 03

    Cybersecurity defenses could improve as AI identifies flaws at scale.

  4. 04

    Increased hype could benefit Anthropic's business with potential customers.

  5. 05

    Government software maintainers may struggle to keep up with AI-driven discoveries.

Transparency Panel

Sources cross-referenced1
Framing risk35/100 (low)
Confidence score75%
Synthesized bySubstrate AI
Word count338 words
PublishedApr 23, 2026, 7:42 PM
Bias signals removed2 across 2 outlets
Signal Breakdown
Editorializing 1Speculative 1

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