Gen AI on Subhash Dasyam

Securing Agentic AI: Roadmap Part-10

Sun, 07 Dec 2025 20:48:00 +0400

Part 10. Implementation Roadmap

10.0 Why you need a roadmap, not a random pile of bots

You now have:

Agent patterns

Multi agent topologies

HITL designs

Threats and controls

Identity, architecture, governance

Securing Agentic AI: Governance Framework Part-9

Sun, 07 Dec 2025 14:59:00 +0400

Part 9. Governance Framework

9.0 Why you need actual governance, not “vibes”

At small scale, you can ship an agent, watch it in Prod, and fix things as they break.

Securing Agentic AI: Enterprise Integration Part-8

Sun, 07 Dec 2025 14:51:01 +0400

8. Enterprise Integration

8.0 Why this part matters

Up to now we treated agents like a new thing. Your CISO, CIO, and Head of Architecture do not care about “new things”. They care about one question: “How does this fit into the stuff we already use to control risk?”

Securing Agentic AI: Secure Architecture Patterns Part-7

Sun, 07 Dec 2025 14:45:05 +0400

7. Secure Architecture Patterns

7.0 Why architecture beats clever prompts

Here is the uncomfortable truth: If your main security control is “We wrote a really strong system prompt”, you will lose. Not today. Maybe not this quarter. But as soon as someone finds a weird edge case or the model behaves differently after an update, your “carefully crafted” prompt will help exactly as much as a sticky note on a production firewall.

Securing Agentic AI: Identity and Access Control for Agents Part-6

Sun, 07 Dec 2025 14:40:00 +0400

6. Identity and Access Control for Agents

6.0 Why identity is the real security boundary

For classic apps, you already know the game:

User authenticates.

App runs with app identity.

Securing Agentic AI: Threat Landscape for Agentic Systems Part-5

Sun, 07 Dec 2025 14:35:00 +0400

5. Threat Landscape for Agentic Systems

5.0 Why this part matters

With normal LLM apps, a bad output is embarrassing.

With agentic systems, a bad output can:

Send money to the wrong place

Securing Agentic AI: Human in the Loop (HITL) Design Patterns Part-4

Sun, 07 Dec 2025 14:28:00 +0400

4. Human in the Loop (HITL) Design Patterns

4.0 Why HITL is where grown-up safety lives

Autonomous agents feel magical right up to the moment they:

Move real money

Change real infrastructure

Securing Agentic AI: Multi-Agent Architectures Part-3

Sat, 06 Dec 2025 20:00:00 +0400

3. Multi-Agent Architectures

3.0 Why multi-agent is fun for you and scary for security

Single agent: one brain, one loop, one blast radius.

Multi-agent: several brains, messages bouncing around, tools firing in different places, sometimes all at once.

Securing Agentic AI: Agent Architecture Patterns - Security Analysis Part-2

Sat, 06 Dec 2025 19:53:00 +0400

2. Agent Architecture Patterns - Security Analysis

2.0 Why patterns matter more than buzzwords

Most “agent stacks” are just variations on a few core patterns:

ReAct

Plan-and-Execute

Reflexion / self-correction

Securing Agentic AI: Architecture, Patterns, and Governance for Enterprise Adoption Part-1

Sat, 06 Dec 2025 19:06:00 +0400

1. Agentic AI Fundamentals

1.1 Why this matters

Normal LLM apps give you words on a screen. Agentic systems give you actions in your systems.

The moment you let a model:

Mixture of Experts (MoE): The Specialist Consultant Revolution 🏢

Sun, 13 Jul 2025 23:00:00 +0400

Building on our transformer story - if you haven’t read the complete transformer guide yet, check it out first!

Remember Our Transformer Story?

In our previous deep dive, we learned that transformers have this amazing “deep thinking step” (the Feed Forward Network) where they:

How Transformers Actually Work: The Complete Simple Guide 🤖

Tue, 08 Jul 2025 00:45:00 +0400

Ever wondered how ChatGPT, Claude, or GPT-4 actually understand and generate text? Let me break down the magic behind transformers like you’re 12 years old! 👇

Note: When I mention “117 million parameters” in examples, I’m talking about GPT-1 and BERT-base models. Modern models like GPT-4 are much, much bigger!

RAG+ Revolution: How Application-Aware Reasoning Transforms AI Knowledge Systems

Tue, 17 Jun 2025 14:48:00 +0400

Paper Review and Attribution

This article is based on the fascinating research paper “RAG+: Enhancing Retrieval-Augmented Generation with Application-Aware Reasoning” by Yu Wang, Shiwan Zhao, Ming Fan, and colleagues from Huawei Technologies, Xi’an Jiaotong University, and Nankai University.

The Complete Guide to Transformer Architecture: How Modern AI Really Works

Wed, 21 May 2025 22:58:00 +0400

1. The Big Breakthrough: Introduction to Transformer Architecture

Two weeks after successfully implementing his first transformer model, Alex was hunched over his laptop in the university AI lab, a look of amazement on his face as he compared the results from his old model and his new transformer-based solution.