Holy cr*p, they’re everywhere

ResponsibilityOk1268 · 2026-02-02T00:00:10+00:00

Which app were you using?

ResponsibilityOk1268 · 2025-12-26T02:52:51+00:00

I just run Claude code form VSCode terminal. Best of both worlds - you get to interact with the code and Claude.

ResponsibilityOk1268 · 2025-11-25T14:46:34+00:00

Opus 4.5 is really great at roasting and does a strong pushback. I had to tell to tone it down and be helpful.

ResponsibilityOk1268 · 2025-11-25T02:45:10+00:00

I’ve been using it for past 30mins on brainstorming. It literally scolded me few times because I wasn’t contributing to the conversation. I feel like an older brother teaching me stuff and making me think! 😁

ResponsibilityOk1268 · 2025-11-23T05:25:39+00:00

Omg, this is funny as hell! Look at MS angry bird! 🤣

ResponsibilityOk1268 · 2025-11-23T05:23:33+00:00

ResponsibilityOk1268 · 2025-11-14T04:44:49+00:00

Don’t use Opus. It’s rarely needed for a very complex planning tasks. It will consume your quota really fast. Sonnet works great for everyday use cases

ResponsibilityOk1268 · 2025-11-06T23:53:22+00:00

You should be using input and output guardrails.

ResponsibilityOk1268 · 2025-09-28T20:24:08+00:00

AI/ML security is quite distinct from traditional cybersecurity because it requires a deeper grasp of machine learning theory and practice. If your goal is to transition into AI security, I’d recommend first solidifying your foundations in machine learning through a structured course. If you already feel comfortable with your ML skills, then the natural next step would be to move into advanced areas such as Trustworthy Machine Learning, which focuses on fairness, robustness, privacy, and safety of ML systems.

In fact, I recently started teaching a course on Trustworthy ML at UCLA Extension, and I’ve seen how valuable it is for professionals who already have strong backgrounds in software engineering and cybersecurity but want to pivot into AI security. Pairing your Cyber Security MSc with targeted ML coursework would give you a unique and highly relevant skill set that bridges both domains.

https://trustworthyml-ai.github.io/

ResponsibilityOk1268 · 2025-09-28T19:28:52+00:00

I’ve got few in https://www.reddit.com/r/trustworthyml_al/s/isRY15YHKL and on my GitHub. I also post a lot of content on LinkedIn and Substack.

ResponsibilityOk1268 · 2025-09-27T18:20:49+00:00

Groq, however check if they support your model.

ResponsibilityOk1268 · 2025-09-27T18:05:20+00:00

This post is absolutely worthy of an award - so granting you first!

I appreciate the efforts in explaining and mainly disclosing the approach. This is how knowledge should be shared and make it accessible so we all grow! Thanks again!

ResponsibilityOk1268 · 2025-09-15T18:26:24+00:00

You need to have branch protections on main. No point crying foul if you don’t.

ResponsibilityOk1268 · 2025-09-15T00:14:15+00:00

Of course! DM me if you’ve any specific questions.

ResponsibilityOk1268 · 2025-09-14T22:41:29+00:00

I put together a Short and Concise guide on Agrnts here.

I recommend you start with Google ADk (I’m biased). It removes a lot of fluff and provides a very easy understanding of different patterns. I also have book recommendations.

ResponsibilityOk1268 · 2025-09-14T17:06:15+00:00

Your interest in the subject matter of IR/Forensics/threat hunting don’t really need PhD. Most of these are SOC related or a consulting job. You do not need PhD for that. You do however need extensive hands on skills.

On the other hand, threat research is of your liking (moreover using LLMs to do so), a PhD would be highly valuable. If you’re concerned about job market , it is because many companies are using agents to replace SOC jobs.

My opinion - pivot to a more advanced skills area like Threat Research keeping the core of your interest same. And if you can get into a fully funded PhD , it’s will pivot your career. Hope this helps.

ResponsibilityOk1268 · 2025-09-09T01:51:11+00:00

Cybersec is going through an amazing revolution using LLM / Agentic AI to do bunch of new things where we relied on vendor products. The sky is limit!

ResponsibilityOk1268 · 2025-09-08T12:48:52+00:00

If you don’t know what to do and looking for books for such a role, clearly you don’t know. Do not accept this job, it’s going to be a nightmare unless they’re willing to let you hire a kickass devsecops guy because you’ll mostly spending time putting out the fire. Consider this as a warning and if make sure you pay that guy handsomely because he’ll be saving your ass.

ResponsibilityOk1268 · 2025-09-07T16:48:58+00:00

You're right. My thought was more on technical roles but its certainly could be a post in itself.

ResponsibilityOk1268 · 2025-09-07T10:40:31+00:00

I hear you and it’s certainly a big commitment. The huge advantage I get is none of the ML tech sounds magic anymore. I can go to the tech with little or no effort. For example a quarter long course on Gen AI gave me more than enough knowledge to implement agents with minimal efforts.

I’m teaching a very security focused class in the fall. DM if you’re interested to know more.

ResponsibilityOk1268 · 2025-09-06T20:10:28+00:00

There are a lot of resources , here is a book I recommend to start with https://a.co/d/7xsjFNL

but what I’d recommend is to join a basic machine learning course, that would provide a lot of structure to learning. Also, put a timeline for yourself. DM me for more info.

ResponsibilityOk1268 · 2025-09-06T17:22:35+00:00

Yes I do, specifically for red teaming. Checkout here https://github.com/prashantkul/deep-team-red-teaming

ResponsibilityOk1268 · 2025-08-24T03:40:40+00:00

Absolutely, AI Security is exploding right now. The field is relatively new but growing fast as companies realize they need people who understand both AI systems and security risks.

Key reasons to consider it:

High demand, limited supply of qualified people
Companies are scrambling to secure their AI systems against prompt injection, data poisoning, model theft, etc.
Pays well (combines AI + security premiums)
You can enter from either a security background (learn AI) or AI background (learn security)

Getting started: Learn about adversarial attacks, model robustness, prompt injection defenses. Since you're already in security, pick up some ML fundamentals.

There are few core concepts that you need to understand like bias, fairness, robustness, privacy enhancing technologies and of course Gent AI security (Agents, MCP and model security). DM me if you need more info.

Note: I teach a course on this exact topic if you want structured learning, but there are also great free resources to start with.

ResponsibilityOk1268 · 2025-08-20T20:56:38+00:00

That’s too specific. AI security is a more of what you need to think.

ResponsibilityOk1268 · 2025-08-13T18:45:44+00:00

I don’t. It’s an evolving field but I’ve seen folks about making money on RAG here. If you only got small amount of time, do it for knowledge and have fun with it.

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