My X account is 10 years old and still not growing. After studying X’s open-sourced “For You” algorithm thoroughly, I built an automation to post 500 tweets over the next month & see what actually goes viral.
By the end, I’ll have learned something, or I’m deleting this account.
@RedHatPentester Lol. I, that almost deleted Twitter. 🤣🤧
Glad you find my content meaningful. I’m a Cybercrime/Cybersecurity researcher with several publications in some top tier international journals. I’m open to any possible collaborations.
More about me here: https://t.co/lJBuCWyDGn
Ransomware payment decisions are not simply “pay” versus “don't pay.”
Once data exfiltration enters the equation, organisations are negotiating about availability and disclosure.
Would you still support an absolute “never pay” policy?
The best cybersecurity policy is useless if nobody can follow it during an actual incident.
Write for panic, not peace.
Incident responders: what instruction do people forget first when things go wrong?
African cybersecurity research shouldn't exist only as “apply Western model to African country.”
There are local realities worthy of theory, not merely replication.
What African security problem deserves its own model?
AI ethics without AI security feels incomplete.
A system cannot be meaningfully trustworthy if an attacker can manipulate what it does.
Agree or are these separate enough to study independently?
Research becomes better when we stop treating replication as an insult.
If a finding only works once, in one population, under one exact setting, perhaps we should know that.
Why is replication still treated as academically boring?
I have seen enough AI demos to develop a simple rule:
If the demo requires perfect prompts, perfect context and perfect conditions, I am watching theatre.
What's the most misleading AI demo pattern you've noticed?
Cybersecurity prediction research has a weird obsession with asking:
“Can the model predict this dataset?”
I care more about:
“Can this survive contact with a real network?”