ba$h
@bash_vash
anime was a mistake, Infosec and Memes. Cybersecurity Engineer. GCFA, GCFR, GMLE - DFIR 🇪🇸🇬🇧🇨🇭I do AI now
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The Cyber Industry is like this: I want you to be a team member but also: Security Architect Security Engineer Detection Engineer Incident Responder Penetester Malware Dev BCP Archtict SOC Anlayst SOC Manager Lockpick Expert Close Access Expert Sales Person Marketing Expert…
Democratize Log Access with AI - diegowritesa.blog/2025/10/democr… Give it a read guys I got decent diagrams and memes
AI Security & RAG Architectures - How do we secure AI Systems? - diegowritesa.blog/2025/09/ai-sec…
Microsoft isn’t disclosing this so: M365 Copilot allowed users to access files without producing an audit log. All you had to do was ask Copilot to not link to the file. You don’t even have to ask; it sometimes just happens. If your org uses Copilot your audit log is likely wrong
Microsoft isn’t just not issuing a CVE, they’re actually not going to disclose this issue at all.
😐
Amazon AI coding agent hacked to inject data wiping commands - @billtoulas bleepingcomputer.com/news/security/…
s3 does vectors now vector databases are officially dead
I generally like Anthropic: but the more they paint a dystopian future where AI “manages” people (“AI middle-managers”) the more I am starting to think they are losing their marbles. LLMs is a tool humans should use. The tail should not wag the dog; Anthropic should know better
Nevertheless, we still think it won’t be long until we see AI middle-managers. This version of Claude had no real training to run a shop; nor did it have access to tools that would’ve helped it keep on top of its sales. With those, it would likely have performed far better.
Unsupervised Machine Learning for Detection Engineering! diegowritesa.blog/2025/05/unsupe…
Detecting C2-Jittered beacons with Frequency Analysis -> diegowritesa.blog/2025/04/detect…
always remember everything looks exponential from the middle of a sigmoid
When will AI systems be able to carry out long projects independently? In new research, we find a kind of “Moore’s Law for AI agents”: the length of tasks that AIs can do is doubling about every 7 months.
everybody wanna train a ML model but nobody wanna clean no big ass data
Data Scraping using Beautiful Soup Python Library to programmatically retrieve CTI feeds and ingest them into different SIEMs, for Threat Hunting, Detection Engineering, Automation - diegowritesa.blog/2025/03/web-sc…
>we trained our reasoners on real-world use cases and not competition math/code the real-world use cases:
Does training ML models count as an addiction? That little progress bar and the epoch counter do be bringing dopamine
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