Programmatic String Deobfuscation in .NET Malware

A practical look at machine-learning malware traffic detection and the assumptions defenders inherit when models are applied to encrypted communications.

A clear-eyed discussion of how much vulnerability analysis can be automated, how reliable those results can be, and why the question stays hard.

A practical cloud security note about recurring implementation failure modes, passwords, providers, exposure, and the assumptions teams keep rediscovering.