This lightning talk shows software engineers how AI and heuristic models can be embedded directly into development workflows to detect malware, suspicious binaries, and malicious behaviour before code ever reaches production. Based on my research building a heuristic machine-learning detection framework for Windows malware, I will demonstrate practical ways to integrate lightweight AI scanning into CI/CD pipelines, build scripts, and runtime environments.

We’ll explore three real engineering use cases:

AI-powered binary and dependency scanning inside CI workflows to detect obfuscation, malicious DLL imports, and Trojan-like patterns.

Runtime behavioural heuristics (API calls, entropy analysis, opcode signatures) that can be monitored using lightweight AI agents.

Practical integration with GitHub Actions, Azure DevOps, and container build pipelines to automatically flag suspicious artefacts.

This is a fast, hands-on, engineering-focused session designed to help developers add intelligent security checks into their build and release workflows using real, production-ready AI techniques.