Anthropic Set to Release Its Most Powerful Model, Mythos AI, as Cyber Threats Escalate

Anthropic has been actively updating its backend code recently, and the model known internally as "claude-mythos-1-preview" is nearing public release. Originally kept under tight control due to its exceptional capabilities, this cutting-edge model is now moving from a restricted lab setting into developer-facing tools. This shift marks a critical step in AI safety governance—evolving from "defensive restrictions" toward "proactive tooling."

I. Claude Mythos: Why Is It Called a "Dangerous Ace?"

Since the preview version launched on April 7th, Claude Mythos has been at the center of major security debates. Its core abilities go far beyond "writing code" and include professional automated network attack capabilities:

Automated Vulnerability Discovery: In red team tests, Mythos has been confirmed to independently find and exploit zero-day vulnerabilities in mainstream operating systems and browsers.

Leapfrog Reasoning: Compared to the flagship Opus4.7, Mythos shows a qualitative leap in code logic, autonomous execution, and reasoning depth.

Fast Penetration: Research shows that even people without a security background can craft complete malicious commands with Mythos's guidance. If misused, these could cause systemic damage to global digital infrastructure.

Because of these risks, Anthropic previously kept this model behind a "firewall," accessible only to a limited set of authorized partners.

II. Project Glasswing: From "Hiding" to "Using"

To address security concerns around Mythos, Anthropic launched "Project Glasswing". The goal isn't to retire the model, but to turn it into a defender's tool through ecosystem collaboration:

Security Foundation: Anthropic partnered with roughly 50 key technology companies (including OS vendors and open-source foundations) to use Mythos Preview for proactively scanning vulnerabilities in critical global software.

Significant Results: In the project's first month, Mythos Preview helped partners identify over 10,000 high-risk or critical vulnerabilities.

Shift in Defense Paradigm: Previously, software security progress was limited by how fast humans could find vulnerabilities. Now, it's limited by how fast teams can validate and fix them—a massive efficiency gain driven by AI.

III. Future Trends: The "Beta Testing" Roadmap of Mythos

Today, the public release of Mythos is no longer a matter of "if" but "how." Recent clues suggest:

Deep Tool Integration: Users have spotted model switching toggles in the Claude Code and Claude Security backend interfaces, indicating Anthropic is building a more complete "safety guardrail system." Once these compliance and restriction mechanisms mature, models like Mythos will enter a broader commercial phase.

Security Dashboard Upgrade: Claude Security is developing a new visual dashboard to show vulnerability trends, historical scan results, and fix progress—signaling its evolution into a commercial-grade security suite.

From "Restricted" to "Released": Although release restrictions remain, Anthropic has made clear that as they develop stronger safety guardrails, they look forward to fully releasing such models.

Industry Perspectives: The "Spear and Shield" of AI Governance

The emergence of Claude Mythos has rewritten cybersecurity logic: whoever masters the ability to use AI for finding vulnerabilities will control the initiative in system defense.

For developers, the launch of Claude Mythos1 means "autonomous security auditing" will become a standard workflow. But for the entire internet, it also signals the start of an arms race—when AI can automatically find and fix vulnerabilities, the battle between defenders and attackers will unfold in nanoseconds.