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Claude Mythos

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What is Kontra?

Application Security Training with Kontra Hands-On Labs and Courses is designed for how developers actually work—fast-paced, stack-specific, and outcome-driven. With 300+ real-world labs and 50+ video courses, the platform teaches teams how to find and fix security issues in the code they use every day. Each lab is based on well-known exploits, such as Log4Shell or Broken Access Control, and walks through the vulnerability, how attackers exploit it, and how to remediate it with code-level precision. These interactive exercises take less than 10 minutes on average, enabling developers to complete security training without breaking their workflow. Unlike general awareness programs, Kontra + Courses is highly relevant to engineering roles. Content spans 25+ technologies and aligns to the actual languages, frameworks, and compliance controls developers are responsible for. Role-based paths support ISC2 co-branded certification for teams that need to show training impact and capability development. This developer-first approach results in over 3x better training engagement than traditional methods. That means faster adoption, fewer release delays from late-stage vulnerabilities, and more secure code from the start. Deployment is flexible—training can be delivered via our hosted LMS or integrated directly into your existing system using SCORM packages. Either way, you get full access to a proven curriculum built for speed, scale, and regulatory fit. Progress tracking is streamlined with reporting that shows completion status, compliance mapping, and developer-level readiness. Whether you're training to reduce real-world risk or prepare for audits, Kontra + Courses gives you the coverage and control you need to build secure software at scale.

What is Claude Mythos?

Claude Mythos Preview is a cutting-edge AI model that represents a significant breakthrough in cybersecurity capabilities and autonomous reasoning. It has shown the ability to independently discover and exploit zero-day vulnerabilities in a wide range of systems, including operating systems, browsers, and critical infrastructure software. The model can generate sophisticated exploit chains, combining multiple vulnerabilities to achieve outcomes such as remote code execution or full system control. It operates using agentic workflows, where it analyzes source code, tests hypotheses, and iteratively refines its findings without human guidance. Mythos Preview is also highly capable in reverse engineering, allowing it to analyze closed-source binaries and uncover hidden vulnerabilities. Compared to previous models, it demonstrates a substantial increase in both accuracy and success rate when developing real-world exploits. It can identify subtle and long-standing bugs that have gone unnoticed for years. The model is also effective at converting known vulnerabilities into working exploits rapidly, reducing the time between disclosure and potential attack. These capabilities highlight both the opportunities and risks associated with advanced AI in cybersecurity. As a result, efforts like Project Glasswing aim to use the model to strengthen global defenses. The model’s emergence signals a shift toward automated, large-scale vulnerability research. Overall, Claude Mythos Preview marks a transformative step in how AI can impact both offensive and defensive cybersecurity.