
Announced as part of Anthropic’s new Project Glasswing, a specialized AI model named Claude Mythos Preview is entering a gated release to help secure the world’s most critical software.
AWS already leverages machine learning heavily to protect its massive infrastructure. The company’s internal AI-powered log analysis recently reduced security review time from an average of 6 hours to just 7 minutes.
By analyzing over 400 trillion network flows daily, AWS successfully blocked more than 300 million malicious S3 encryption attempts in 2025 alone. Now, they are extending these advanced capabilities to enterprise customers.
Claude Mythos Enters Preview
Claude Mythos Preview represents a fundamental leap in AI reasoning tailored specifically for cybersecurity and complex software coding.
Designed to find and patch vulnerabilities at scale, this model efficiently surfaces critical security findings with minimal manual guidance from engineers.
Because AI models capable of building working exploits carry inherent risks, AWS and Anthropic are taking a deliberately cautious approach to distribution.
Claude Mythos Preview is currently available via a gated research preview through Amazon Bedrock.
Access is restricted to an allow-list of organizations, focusing heavily on internet-critical companies and major open-source maintainers whose software impacts hundreds of millions of users.
Organizations testing the model on Amazon Bedrock benefit from strict, enterprise-grade security controls.
Teams can safely explore the AI’s capabilities without exposing production assets to unnecessary risk using several core protections.
- Customer-managed data encryption ensures privacy.
- Strict Virtual Private Cloud (VPC) isolation keeps workloads secure.
- Automated Reasoning safeguards provide 99% accuracy against factual hallucinations.
Autonomous Penetration Testing
Alongside the announcement of the Claude Mythos, AWS has officially made its new AWS Security Agent generally available.
This tool transforms enterprise penetration testing from a periodic, manual bottleneck into a persistent, on-demand capability.
Operating 24/7, the Security Agent uses specialized AI to independently discover and validate vulnerabilities across AWS, Azure, GCP, and on-premises environments.
Unlike traditional security scanners that generate unverified alerts, the AWS Security Agent actively attempts to exploit vulnerabilities using targeted attack chains.
When it successfully confirms a legitimate risk, it delivers comprehensive, actionable documentation directly to security teams.
- Standardized CVSS risk scores define the threat level.
- Application-specific severity ratings contextualize the danger.
- Detailed reproduction steps show exactly how the exploit works.
- Practical remediation suggestions offer immediate fixes.
As nation-state actors and ransomware syndicates increasingly adopt AI to scale their operations, defensive strategies must evolve.
By combining Anthropic’s advanced threat detection capabilities with autonomous cloud security agents, AWS aims to equip organizations to build robust defenses before new threats even emerge.
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The post AWS and Anthropic Advancing AI-powered Cybersecurity With Claude Mythos appeared first on Cyber Security News.
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