A new report reveals that AI-developed malware—created using just three months of reinforcement learning and a budget of around $1,600—can successfully circumvent Microsoft Defender about 8% of the time. Let that sink in.
The malware was trained using Qwen 2.5, an advanced language model, within a sandbox environment running Defender for Endpoint. Through iterative testing, it learned to evade detection reliably.
In contrast, other AI models (Anthropic’s Claude, DeepSeek’s R1) showed less...