Everyone wants "fuck you" money.
No one wants to be told "fuck you" on their way to getting it.
Rejection is closer to success than wishing for success.
UnifiedThreatHunting is a practical framework for building structured threat hunts instead of just running random SIEM queries.
It covers hypothesis driven hunting, telemetry validation, feasibility checks, MITRE ATT&CK mapping, hunt execution, detection handoff, documentation, and automation/AI.
Github:- https://t.co/rLAqigpA0c
Exploring Agentic Malware Reverse Engineering. Watch an AI agent use IDAPython exposed tools to analyze malware and identify the encryption algorithm & key used to encrypt captured keystrokes. @HexRaysSA
Detailed walkthrough with audio coming soon.
https://t.co/hg92XIg7VX
Much of my day now is context switching between 6-20 different Claudes that each are doing some complex task and need checking on every 5-120 minutes.
It's legitimately a new skill to develop, coming back into each conversation with all the context necessary to continue.
The more I read about Mythos, the more it feels like just another overhyped AI trend, similar to many I've seen over the past couple of years. Much of the hype seems to come from cybersecurity influencers and journalists who've only touched the surface of pentesting, or have limited to no hands-on red team experience. I’ve noticed some of my own customers getting caught up in the hype as well, but it seems likely this will follow the usual cycle—peaking briefly, fading out, and then repeating again with the next trend. Its just AI-Milking at this point!
Nothing is easy.
Nothing works the first time.
Everything takes longer than you expect.
Everything is harder than you expect.
You have to force it into existence.
And you have to fight for every inch.