About ByteDefense

Most AI code analysis tools require you to upload your codebase to an external cloud service. For regulated industries — finance, healthcare, government — this is a non-starter. Your source code contains trade secrets, authentication logic, and infrastructure patterns that cannot leave your network boundary.

Traditional SAST tools (SonarQube, Semgrep, Checkmarx) scan for known vulnerability patterns. They catch SQL injection and XSS, but they don't understand the semantic logic of your code. A time-gated data exfiltration backdoor — one that only activates on Sundays — looks perfectly clean to a pattern matcher.

ByteDefense embeds a small, quantized language model (Qwen 2.5 Coder, 1.5B parameters) directly inside your JVM build process using Jlama. The model runs on CPU — no GPU required — and stays strictly under 1.5 GB of RAM.

When a PR is opened, the engine reads the changed files, builds an AST representation, and feeds it to the local model for semantic analysis. If a vulnerability is found, the engine generates a fix, compiles it in-memory to verify correctness, and opens an automated Pull Request.

ByteDefense is developed by DentiSystems, a cybersecurity engineering company ranked #5 in Cybersecurity on F6S. We also build DentiGrid, an active honeypot deception network.

Based in Dhaka, Bangladesh. Engineering sovereign security primitives for global compliance.