Ganesh Subramanian

PhD Scholar on Reinforcement Learning for Cybersecurity

[Indian Institute of Technology Kanpur @IITKanpur]

🎶 An Evening of Carnatic Classical Music at IIT Kanpur

IIT Kanpur, in association with @spicmacay and the @MinOfCultureGoI, presents an evening of Carnatic classical music featuring Vidushi Dr. A. Kanyakumari (Violin).

She will be accompanied by Shri Sivateja Mallajosyula (Violin), Shri Sherthalai R Ananthakrishnan (Mridangam), Shri B S Purushotham (Kanjira) and Shri Adambakkam K Sankar (Ghatam).

📅 September 24, 2026
📍 Main Auditorium, IIT Kanpur
🕡 6:30 p.m. | Entry from 6:00 p.m.

Join us for an evening celebrating the richness and tradition of Carnatic classical music.

#IITKanpur #SPICMACAY #CarnaticMusic #ClassicalMusic #IndianClassicalMusic #MusicAtIITK #CulturalEvening

[Tech Fusionist | Kushal Gangil @techyoutbe]

Cybersecurity IAM Engineer (Learning Plan) 🔥🚀
(Specializing in CyberArk, Okta, or SailPoint)

𝘚𝘵𝘦𝘱-1: 𝘓𝘦𝘢𝘳𝘯 𝘵𝘩𝘦 𝘍𝘶𝘯𝘥𝘢𝘮𝘦𝘯𝘵𝘢𝘭𝘴 𝘰𝘧 𝘐𝘈𝘔, 𝘐𝘥𝘦𝘯𝘵𝘪𝘵𝘺 𝘚𝘦𝘤𝘶𝘳𝘪𝘵𝘺 𝘢𝘯𝘥 𝘡𝘦𝘳𝘰 𝘛𝘳𝘶𝘴��

𝘚𝘵𝘦𝘱-2: 𝘔𝘢𝘴𝘵𝘦𝘳 𝘈𝘶𝘵𝘩𝘦𝘯𝘵𝘪𝘤𝘢𝘵𝘪𝘰𝘯 & 𝘍𝘦𝘥𝘦𝘳𝘢𝘵𝘪𝘰𝘯 (𝘖𝘈𝘶𝘵𝘩2, 𝘖𝘐𝘋𝘊, 𝘚𝘈𝘔𝘓, 𝘑𝘞𝘛, 𝘚𝘊𝘐𝘔, 𝘞𝘦𝘣𝘈𝘶𝘵𝘩𝘯/𝘍𝘐𝘋𝘖2)

𝘚𝘵𝘦𝘱-3: 𝘚𝘵𝘶𝘥𝘺 𝘈𝘤𝘵𝘪𝘷𝘦 𝘋𝘪𝘳𝘦𝘤𝘵𝘰𝘳𝘺, 𝘓𝘋𝘈𝘗, 𝘌𝘯𝘵𝘳𝘢 𝘐𝘋 𝘢𝘯𝘥 𝘊𝘭𝘰𝘶𝘥 𝘐𝘥𝘦𝘯𝘵𝘪𝘵𝘺

𝘚𝘵𝘦𝘱-4: 𝘓𝘦𝘢𝘳𝘯 𝘐𝘥𝘦𝘯𝘵𝘪𝘵𝘺 𝘓𝘪𝘧𝘦𝘤𝘺𝘤𝘭𝘦, 𝘑𝘰𝘪𝘯𝘦𝘳-𝘔𝘰𝘷𝘦𝘳-𝘓𝘦𝘢𝘷𝘦𝘳 (𝘑𝘔𝘓), 𝘗𝘳𝘰𝘷𝘪𝘴𝘪𝘰𝘯𝘪𝘯𝘨 & 𝘋𝘦𝘱𝘳𝘰𝘷𝘪𝘴𝘪𝘰𝘯𝘪𝘯𝘨

𝘚𝘵𝘦𝘱-5: 𝘔𝘢𝘴𝘵𝘦𝘳 𝘐𝘥𝘦𝘯𝘵𝘪𝘵𝘺 𝘎𝘰𝘷𝘦𝘳𝘯𝘢𝘯𝘤𝘦 & 𝘈𝘥𝘮𝘪𝘯𝘪𝘴𝘵𝘳𝘢𝘵𝘪𝘰𝘯 (𝘐𝘎𝘈, 𝘈𝘤𝘤𝘦𝘴𝘴 𝘙𝘦𝘷𝘪𝘦𝘸𝘴, 𝘚𝘰𝘋, 𝘙𝘰𝘭𝘦 𝘔𝘪𝘯𝘪𝘯𝘨)

𝘚𝘵𝘦𝘱-6: 𝘓𝘦𝘢𝘳𝘯 𝘗𝘳𝘪𝘷𝘪𝘭𝘦𝘨𝘦𝘥 𝘈𝘤𝘤𝘦𝘴𝘴 𝘔𝘢𝘯𝘢𝘨𝘦𝘮𝘦𝘯𝘵 (𝘗𝘈𝘔), 𝘑𝘐𝘛/𝘑𝘌𝘈, 𝘚𝘦𝘤𝘳𝘦𝘵𝘴 𝘔𝘢𝘯𝘢𝘨𝘦𝘮𝘦𝘯𝘵 & 𝘊𝘳𝘦𝘥𝘦𝘯𝘵𝘪𝘢𝘭 𝘝𝘢𝘶𝘭𝘵𝘪𝘯��

𝘚𝘵𝘦𝘱-7: 𝘐𝘮𝘱𝘭𝘦𝘮𝘦𝘯𝘵 𝘔𝘍𝘈, 𝘗𝘢𝘴𝘴𝘬𝘦𝘺𝘴, 𝘗𝘩𝘪𝘴𝘩𝘪𝘯𝘨-𝘙𝘦𝘴𝘪𝘴𝘵𝘢𝘯𝘵 𝘈𝘶𝘵𝘩𝘦𝘯𝘵𝘪𝘤𝘢𝘵𝘪𝘰𝘯 & 𝘊𝘰𝘯𝘥𝘪𝘵𝘪𝘰𝘯𝘢𝘭 𝘈𝘤𝘤𝘦𝘴𝘴

𝘚𝘵𝘦𝘱-8: 𝘔𝘢𝘴𝘵𝘦𝘳 𝘊𝘭𝘰𝘶𝘥 & 𝘔𝘶𝘭𝘵𝘪-𝘊𝘭𝘰𝘶𝘥 𝘐𝘈𝘔 (𝘈𝘞𝘚, 𝘈𝘻𝘶𝘳𝘦, 𝘎𝘊𝘗, 𝘞𝘰𝘳𝘬𝘭𝘰𝘢𝘥 𝘐𝘥𝘦𝘯𝘵𝘪𝘵𝘪𝘦𝘴, 𝘚𝘦𝘳𝘷𝘪𝘤𝘦 𝘐𝘥𝘦𝘯𝘵𝘪𝘵𝘪𝘦𝘴)

𝘚𝘵𝘦𝘱-9: 𝘚𝘵𝘶𝘥𝘺 𝘐𝘥𝘦𝘯𝘵𝘪𝘵𝘺 𝘛𝘩𝘳𝘦𝘢𝘵 𝘋𝘦𝘵𝘦𝘤𝘵𝘪𝘰𝘯 & 𝘙𝘦𝘴𝘱𝘰𝘯𝘴𝘦 (𝘐𝘛𝘋𝘙, 𝘐𝘥𝘦𝘯𝘵𝘪𝘵𝘺 𝘈𝘵𝘵𝘢𝘤𝘬 𝘗𝘢𝘵𝘩𝘴, 𝘗𝘳𝘪𝘷𝘪𝘭𝘦𝘨𝘦 𝘌𝘴𝘤𝘢𝘭𝘢𝘵𝘪𝘰𝘯)

𝘚𝘵𝘦𝘱-10: 𝘓𝘦𝘢𝘳𝘯 𝘕𝘰𝘯-𝘏𝘶𝘮𝘢𝘯 & 𝘔𝘢𝘤𝘩𝘪𝘯𝘦 𝘐𝘥𝘦𝘯𝘵𝘪𝘵𝘪𝘦𝘴 (𝘚𝘦𝘳𝘷𝘪𝘤𝘦 𝘈𝘤𝘤𝘰𝘶𝘯𝘵𝘴, 𝘈𝘗𝘐 𝘐𝘥𝘦𝘯𝘵𝘪𝘵𝘪𝘦𝘴, ��𝘦𝘳𝘵𝘪𝘧𝘪𝘤𝘢𝘵𝘦𝘴, 𝘚𝘦𝘤𝘳𝘦𝘵𝘴)

𝘚𝘵𝘦𝘱-11: 𝘜𝘯𝘥𝘦𝘳𝘴𝘵𝘢𝘯𝘥 𝘈𝘐 𝘈𝘨𝘦𝘯𝘵 𝘐𝘥𝘦𝘯𝘵𝘪𝘵𝘺, 𝘈𝘤𝘤𝘦𝘴𝘴 𝘊𝘰𝘯𝘵𝘳𝘰𝘭 & 𝘓𝘦𝘢𝘴𝘵-𝘗𝘳𝘪𝘷𝘪𝘭ege Access

𝘚𝘵𝘦𝘱-12: 𝘔𝘢𝘴𝘵𝘦𝘳 𝘐𝘈𝘔 𝘈𝘶𝘵𝘰𝘮𝘢𝘵𝘪𝘰𝘯 (𝘙𝘌𝘚𝘛 𝘈𝘗𝘐𝘴, 𝘗𝘺𝘵𝘩𝘰𝘯, 𝘗𝘰𝘸𝘦𝘳𝘚𝘩𝘦𝘭𝘭, 𝘛𝘦𝘳𝘳𝘢𝘧𝘰𝘳𝘮, 𝘎𝘪𝘵)

𝘚𝘵𝘦𝘱-13: 𝘚𝘱𝘦𝘤𝘪𝘢𝘭𝘪𝘻𝘦 𝘪𝘯 𝘊𝘺𝘣𝘦𝘳𝘈𝘳𝘬, 𝘖𝘬𝘵𝘢, 𝘰𝘳 𝘚𝘢𝘪𝘭𝘗𝘰𝘪𝘯𝘵 𝘢𝘯𝘥 𝘉𝘶𝘪𝘭𝘥 𝘙𝘦𝘢𝘭-𝘞𝘰𝘳𝘭𝘥 𝘐𝘈𝘔 𝘗𝘳𝘰𝘫𝘦𝘤𝘵𝘴

𝘚𝘵𝘦𝘱-14: 𝘓𝘦𝘢𝘳𝘯 𝘐𝘥𝘦𝘯𝘵𝘪𝘵𝘺 𝘙𝘪𝘴𝘬, 𝘊𝘰𝘮𝘱𝘭𝘪𝘢𝘯𝘤𝘦 & 𝘈𝘶𝘥𝘪��� (𝘚𝘖𝘟, 𝘎𝘋𝘗𝘙, 𝘏𝘐𝘗𝘈𝘈, 𝘗𝘊𝘐 𝘋𝘚𝘚)

𝘚𝘵𝘦𝘱-15: 𝘗𝘶𝘳𝘴𝘶𝘦 𝘐𝘈𝘔 𝘊𝘦𝘳𝘵𝘪𝘧𝘪𝘤𝘢𝘵𝘪𝘰𝘯𝘴 & 𝘒𝘦𝘦𝘱 𝘜𝘱𝘥𝘢𝘵𝘦𝘥 𝘸𝘪𝘵𝘩 𝘐𝘥𝘦𝘯𝘵𝘪𝘵𝘺 𝘚𝘦𝘤𝘶𝘳𝘪𝘵𝘺 𝘛𝘳𝘦𝘯𝘥𝘴

🏆 𝘉𝘶𝘪𝘭𝘥 𝘗𝘳𝘰𝘫𝘦𝘤𝘵𝘴, 𝘈𝘶𝘵𝘰𝘮𝘢𝘵𝘦 𝘐𝘈𝘔 𝘞𝘰𝘳𝘬𝘧𝘭𝘰𝘸𝘴 & 𝘉𝘦𝘤𝘰𝘮𝘦 𝘢 𝘔𝘰𝘥𝘦𝘳𝘯 𝘊𝘺𝘣𝘦𝘳𝘴𝘦𝘤𝘶𝘳𝘪𝘵𝘺 𝘐𝘈𝘔 𝘌𝘯𝘨𝘪𝘯𝘦𝘦𝘳!

[Brut 🇮🇳 @wtf_yodhha]

Penetration-List

https://t.co/ZHCFxzEzho

#cybersecurity #infosec #pentesting #redteam #bugbounty

[Nitin Gavhane @NitinGavhane_]

100 CYBERSECURITY X ACCOUNTS WORTH FOLLOWING

[01] BUG BOUNTY & WEB SECURITY

@NahamSec → Bug bounty
@hakluke → Bug bounty tools
@EdOverflow → Security research
@filedescriptor → Web security
@orange_8361 → Exploit research
@zseano → Bug bounty
@Jhaddix → Recon
@pentest_swissky → Pentesting
@InsiderPhD → Security education
@PortSwigger → Web security

[02] RED TEAM & OFFENSIVE SECURITY

@harmj0y → Active Directory
@_wald0 → BloodHound
@enigma0x3 → Windows security
@gentilkiwi → Mimikatz
@_RastaMouse → Red teaming
@SpecterOps → AD security
@TrustedSec → Offensive security
@BishopFox → Red team research
@Horizon3Attack → Exploit research
@Synacktiv → Offensive research

[03] DFIR & BLUE TEAM

@TheDFIRReport → Intrusion reports
@EricRZimmerman → DFIR tools
@13CubedDFIR → DFIR education
@HuntressLabs → Threat research
@Velocidex → Digital forensics
@cyb3rward0g → Detection engineering
@SigmaHQ → Detection rules
@SBousseaden → Detection engineering
@mattifestation → PowerShell security
@sans_isc → Security monitoring

[04] THREAT INTELLIGENCE

@Unit42_Intel → Threat intelligence
@Mandiant → Threat research
@RecordedFuture → Threat intelligence
@TheCyberWire → Cyber news
@TeamCymru → Threat intelligence
@GreyNoiseIO → Internet intelligence
@TalosSecurity → Threat research
@Malwarebytes → Threat research
@ESETresearch → Malware research
@threatinsight → Threat research

[05] MALWARE & VULNERABILITY RESEARCH

@vxunderground → Malware research
@malwrhunterteam → Malware hunting
@hasherezade → Malware analysis
@taviso → Vulnerability research
@ProjectZero → Zero-day research
@GossiTheDog → Vulnerability analysis
@Mikko → Malware research
@_JohnHammond → Malware & CTFs
@LiveOverflow → Technical hacking
@TheRealHoanSolo → Security research

#CyberSecurity #BugBounty #EthicalHacking #InfoSec
#Pentesting #DFIR #ThreatIntel #OSINT #RedTeam

[Ganesh Subramanian @Ganesh_OnAIWay]

@thsottiaux you are not paying attention that tokens melt faster thru Codex resets. Many have complained about it.

[Dan Kornas @DanKornas]

HR systems get rigid fast. This repo gives builders room to adapt.

MintHCM is an open-source, AI-native human capital management platform for teams building and running custom HR systems.

It helps you manage HR processes while retaining control over the code, data model, and deployment environment instead of being limited to configuration options.

Key features:

• AI agent connections – supports MCP, WebMCP, and A2A for connecting HR processes with compatible agents
• Core HR coverage – includes recruitment, onboarding, offboarding, employee profiles, leave, and time tracking
• Custom workflows – modular architecture, flexible data model, and custom business logic support tailored processes
• Deployment choice – can run on-premises, in public or private cloud, or in hybrid environments
• Integration path – offers an open API plus integrations with external systems and AI services

It’s open-source (GNU Affero General Public License v3.0 license).

Link in the reply 👇

[Lenny Zeltser @lennyzeltser]

Shopping for AI security products gets confusing fast, so I put together a short field guide that maps the market's product types and what to check in each.

https://t.co/eQQRLZ6nsN

[Shubham Mishra 🐐 @shubh6200]

A great lecture series on Machine Learning Hardware & Systems - exploring how ML models are mapped, optimized, and accelerated on modern hardware, from algorithms all the way down to efficient system design.

A solid resource for understanding what happens under the hood of modern AI systems.

https://t.co/c6WZ9Oe5vh

[DAN KOE @thedankoe]

https://t.co/7l7Jef99QZ

[Vivek Galatage @vivekgalatage]

Algorithms by Jeff Erickson - one of the best algorithm books out there.

The illustrations are simply great - I highly recommend this.

https://t.co/8G06RjGnMA

[Dark Reading @DarkReading]

The "assume breach" era is ending. AI-native security is what comes next.

For 20 years, enterprises operated under a simple rule: Assume attackers are already inside. Build detection, response, and resilience accordingly. It worked — until threats started moving at machine speed.

As we wrap up Black Hat USA 2026, the security model is shifting again. AI-native defense isn't just faster incident response — it's predictive, adaptive, and autonomous. It's security that learns, anticipates, and acts before breaches become business crises.

What's changing:

🔴Threat detection moving from reactive to predictive
🔴Security operations shifting from human-led to AI-orchestrated
🔴Defense strategies evolving from "contain the damage" to "prevent the breach"

The enterprises presenting at Black Hat this year aren't just talking about AI tools. They're rebuilding security architectures from the ground up with AI at the core.

Read the full analysis from Dark Reading managing editors Tara Seals and Fahmida Rashid 👉 https://t.co/NDbOKdub1u

#BlackHat2026 #AIinSecurity #CyberDefense #DarkReading20

[Musfara Ai @MusfaraAi]

🚨BREAKING: It’s becoming easier to spot content written with ChatGPT and Claude.
The polished wording, predictable structure, and overly refined tone make it obvious.
Here are 7 prompts to make your writing sound more natural and human:

[Ganesh Subramanian @Ganesh_OnAIWay]

@thsottiaux sometimes I notice the Task threads inside a project gets deleted randomly.

[Ganesh Subramanian @Ganesh_OnAIWay]

@joshwoodward @GeminiApp Deep Research quality and depth

[Mohit Goyal (Harness arc) @ByteMohit]

As an AI Infrastructure Engineer

Please learn:
- GPU architecture, VRAM fundamentals, CUDA & memory hierarchy
- Quantization (INT8/FP8/4-bit), batching & continuous batching
- vLLM, TensorRT-LLM, SGLang, llama.cpp & inference optimization
- KV caching, speculative decoding, prefix caching & token throughput
- Distributed training (DDP, FSDP, DeepSpeed, ZeRO)
- Model serving (Triton, vLLM, KServe, Ray Serve, SGLang)
- Kubernetes, Docker & GPU orchestration
- NCCL, InfiniBand & high-speed networking
- Multi-GPU & multi-node inference
- LoRA, QLoRA, PEFT & fine-tuning pipelines
- Vector databases, embeddings & RAG pipelines
- Prompt caching, semantic caching & cost optimization
- Observability (OpenTelemetry, Prometheus, Grafana, Langfuse, Phoenix)
- LLM evaluation, benchmarking & A/B testing
- Model routing & fallback strategies
- MCP, AI agents & workflow orchestration
- Data pipelines, Kafka & streaming inference
- Security, guardrails & prompt injection mitigation
- CI/CD for ML (MLOps), MLflow & model registries
- Linux, networking & storage fundamentals

[徐伦 @Jolyne_AI]

加州大学开放课程《大语言模型的强化学习》，用“理论 + 实战”的方式，把 AI 训练的关键技术从零到一讲透，帮你系统建立从强化学习到 LLM 训练的完整框架。

课程内容覆盖全面，配套资源齐全：讲座幻灯片、完整视频、实践练习一应俱全，学完就能上手做。

课程地址：https://t.co/W0l8b4f7Pi

你将学到：

- 深度强化学习核心：MDP、策略梯度、A3C、PPO 等关键算法
- 大语言模型基础：NLP、语言建模、RNN 等入门与脉络
- RLHF 全流程拆解：基于人类反馈的训练方法与落地思路
- 可验证奖励强化学习：面向更安全、更可靠的训练范式
- 动手实践：Jupyter 代码示例 + 课后作业，边学边练

课程由 UCLA 数学系助理教授主讲，YouTube 提供全套视频，内容扎实，适合想把“RL + LLM 训练”真正学明白的人。

[Ganesh Subramanian @Ganesh_OnAIWay]

@rasbt Is this available in India?

[Camila @AiCamila_]

Agent Observability with Metrics, Logs, and Traces Best Practices

You can’t improve what you can’t see. Agent Observability Best Practices combine the three pillars — Metrics (what’s happening), Logs (exactly what happened), and Traces (how it happened) — to give full visibility into agent runs, tool calls, LLM invocations, costs, and failures.
This is the foundation for debugging, optimization, and reliable production agents.

As a dev, I instrument every agent with rich observability from day one.

Agent Observability Best Practices Cheatsheet:

• Metrics: Track latency, cost, token usage, success rate, tool calls
• Logs: Structured logs with trace IDs, agent version, model, and context
• Traces: End-to-end visibility across agent steps, tools, and external services
• Add cost and quality signals alongside technical metrics
• Tools: OpenTelemetry + LangSmith/Phoenix/Arize + custom dashboards
• Pro tip: Start with tracing on tool calls and LLM invocations — highest immediate value

How observable are your production agents today? Reply below 👇

Follow @AiCamila_ for daily production AI + DevOps tips.

#AgentObservability #Observability #AgenticAI #DevOps

[Param @ParamSiddh]

1) I switched to AI Engineering 1 years ago!
It was the best career move I ever made.

If you want to start today, here's a roadmap:

[Bilgin Ibryam @bibryam]

SkillSpector - a new security scanner for skills by NVIDIA

• Scan AI agent skills before installing them
• 64 security checks across 16 categories
• Fast static analysis +
• Optional LLM semantic evaluation
• Prompt injection detection
• Credential theft detection
• Supply-chain vulnerability scanning
• AST & taint-flow analysis
• MCP security checks
• Optional LLM review layer
• SARIF output for CI/CD

Think "Semgrep + antivirus" for AI agent skills.
https://t.co/TQkV2TWCH6