Back

Why AI Should Never See What It Doesn’t Need? Most AI systems fail not because they’re unintelligent, but because they see too much. In regulated, real-world environments, visibility is a liability. If an AI needs full screens, raw data, or unres

🔒 Principle of Least Privilege: Enhancing Security and Efficiency🔒 In cybersecurity, the Principle of Least Privilege (PoLP) is paramount. It means granting users only the minimal access necessary to perform their tasks. By limiting permissions, w

Why AI Automation Breaks in Regulated Environments? Most AI automation tools are designed for cloud-first, API-rich systems. But large parts of the real world don’t operate that way. This insight came directly from trying to deploy AI co-pilots i

🔥 Google unveils VaultGemma to prevent training data leaks – a privacy-focused AI model designed to reduce data extraction risks during and after training, relevant for regulated Indian sectors. 🤔 Why It Matters – Stronger privacy by design can ea

Technologies Along the Innovation S-curve 🧪 Experimental - BCI evolving from brain signal analysis to brain activity modulation for medical/commercial uses. - Quantum advancements decreasing error rates. - Space tech reducing launch costs and incr

What are your thoughts on, 🔍 Exploring Deeper Insights with Google’s Open Health Stack (OHS) 🔍 We're diving into Google’s Open Health Stack (OHS) to harness its potential in building adaptive, secure healthcare applications that cater to diverse

I hope you’re doing well. I’m currently building an AI platform focused on optimizing customer solutions workflows. The goal is to help businesses streamline their service operations by combining automation with human-in-the-loop (HITL) systems — ena

AYURSKAAN is a diagnostic tool that integrates Ayurvedic principles with modern health assessments. It maps an individual’s bodily constitution over a Vedic lifespan of 121 years, identifying gaps between expected and present states of bodily systems

𝗔 𝗯𝗼𝘆 𝗳𝗿𝗼𝗺 𝗖𝗵𝗲𝗻𝗻𝗮𝗶 𝘄𝗵𝗼 𝗳𝗼𝘂𝗻𝗱𝗲𝗱 𝘁𝗵𝗲 𝗰𝗼𝗺𝗽𝗮𝗻𝘆 "𝗗𝘆𝗻𝗮𝗺𝗼 𝗔𝗜" 𝗮𝗻𝗱 𝗲𝗮𝗿𝗻𝗲𝗱 𝗮 𝘀𝗽𝗼𝘁 𝗼𝗻 𝘁𝗵𝗲 𝗙𝗼𝗿𝗯𝗲𝘀 𝟯𝟬 𝗨𝗻𝗱𝗲𝗿 𝟯𝟬 𝗹𝗶𝘀𝘁 !! Founded by Vaikkunth Mugunthan and Christian Lau in 2021 Bo

What if AI had to work on legacy systems, with no APIs, no data egress, and weak hardware? In many real-world enterprise environments, especially across emerging markets, AI systems face constraints that most modern agents are not designed for.