
Cloud Security @wiz_io now @GoogleCloud | Talks about Cloud/AI/LLM Security | DBA Research Scholar | Securing Digital India 🇮🇳
Mumbai, India
Joined December 2009
- Tweets3.5K
- Following1.4K
- Followers1.4K
- Likes10.7K
Pinned Tweet
Excited to announce that I became a Google Developer Expert in #GoogleCloudPlatform
Feeling honoured to join @GoogleDevExpert program!!
Thanks @biswajeet_137, @dattaniharsh for your support
@iRomin you have been an inspiration, thanks a ton..
@GoogleDevsIN
@googlecloud #GDE
Dharmesh Vaya ⛅️ retweeted
Today we have set out how we’re building AI to accelerate science and improve people’s lives. Just some examples in the last week or so:
- Mapped all 9B possible single letter genetic changes across the human genome with AlphaGenome Atlas and made it openly available to researchers.
- Billions of decisions depend on weather predictions so we introduced WeatherNext 3, our most accurate and capable global weather AI model to date.
- We published AI & Economy ATLAS, a comprehensive open-access look at how people are using AI globally.
- AI has enabled extraordinary advances in language translation. Today our services are available in nearly 300 languages, spoken by 7B people
We’re focusing our efforts on four key areas: health, natural disaster and weather resilience, learning, and economic opportunity. blog.google/innovation-and-a…
Dharmesh Vaya ⛅️ retweeted
Try the high-fidelity vocals and multi-instrumental arrangements via the Gemini API!
Lyria 3.5 is officially live in Google AI Studio. Whether you're building music tech, games, or media tools, it's time to test the new audio standard. Try it now: ai.studio
teapawt.org/GoogleAIStudio/status/…
Lyria 3.5, our best-sounding music generation model, is now available in AI Studio, via the Gemini API, and in the Gemini app
this model brings more expressive vocals and richer musical arrangements, allowing you to craft tracks with higher fidelity
try it today: ai.studio
Join top tech leaders at @wiz_io
Wiz Club Mumbai 2026 to deconstruct how to scale AI without trading off enterprise valuation...
Sept 21, 2026 | JW Marriott Sahar
#AI #Wiz #Google #CloudSecurity
Register now -
wiz.io/events/wiz-club-mumba…
Dharmesh Vaya ⛅️ retweeted
Introducing Gemini 3.8 Flash, another upgrade in under a month! And the new 3.8 Flash Cyber pushes the frontier of cyber defense. Relentless progress 🚀 More on the models & our cyber security work in the blog - happy building! blog.google/innovation-and-a…
Dharmesh Vaya ⛅️ retweeted
We’re also introducing Gemini 3.8 Flash Cyber, our most capable cybersecurity model. It shows frontier-level performance in discovering vulnerabilities and patching them at scale, with Flash-level speed & pricing.
That includes achieving 86.2% on the important CyberGym industry benchmark, plus 47.2% on CWE-Bench for patching. We saw a 70%+ success rate in discovering vulnerabilities across 20 programming languages on our internal benchmark.
Dharmesh Vaya ⛅️ retweeted
Today we’re introducing a new 3.8 Flash model, our 3rd Flash release in just 6 wks.
It delivers significant leaps from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning. On DeepSWE v1.1, it outperforms most larger frontier models in autonomously solving complex engineering problems end to end, at a fraction of the cost.
More details here: blog.google/innovation-and-a…
Dharmesh Vaya ⛅️ retweeted
Gemini Flash 3.8 is here: blog.google/innovation-and-a…
Dharmesh Vaya ⛅️ retweeted
If you are working with Google Cloud Platform, you should check out our Top content in the Google Cloud Medium publication for the period mid-July to mid-August 2026.
Read it here: medium.com/google-cloud/top-…
Dharmesh Vaya ⛅️ retweeted
Today, we're introducing industry-specific solutions on Gemini Enterprise, starting with Gemini Enterprise for Legal and Financial Services, with more industries to come.
Gemini Enterprise for Legal is designed for law firms and in-house legal teams to help find and synthesize information, and navigate complex matters more efficiently. It has four capabilities →
Dharmesh Vaya ⛅️ retweeted
Instead of watching 1 hour of Netflix tonight, watch this ex-Google Chief Scientist Jeff Dean’s lecture. It’s the clearest explanation I’ve seen of the full AI engineering stack - from building LLMs from scratch all the way to one human coordinating 100 agents.
The best part is that it’s useful whether you’ve never touched a model or you’ve been shipping agent systems every day for the past year.
Bookmark it & watch the whole lecture this weekend, because it might end up being the most valuable thing you learn all week.
Dharmesh Vaya ⛅️ retweeted
🚀 New TACOS episode is LIVE!
"The best time to build a startup is NOW." — @ Diana Nanova, Head of Customer Engineering, Startups & Scaleups EMEA North @googlecloud
Physicist → Cloud leader @GoogleStartups. Her take: Google gives you the everything. You just need to START + get the right mentorship. 💡
🎧 Full episode 👉 youtu.be/Qj7SrVTkVCw
Big credits to Creator Studio by @googledevs at Google I/O Connect Berlin.
#Startups #GoogleCloud #TechPodcast #Founders #GoogleIOConnect #BuildWithGemini #TACOS #TACOSwithMehul #googleio
🚀 From Dept. of No to Business Growth Engine, security ops act like a corporate stop sign - flooding developers with alerts and stalling releases. It’s time to shift the narrative.
👉Read more - Mapping the risk-centric PASTA Framework with Wiz
claisec.co.in/operationalizi…
Dharmesh Vaya ⛅️ retweeted
AI is rewriting the rules of cybersecurity. That's why we're launching Google AI Threat Defense today.
Learn more about this automated security system designed to continuously monitor for and stop AI-powered threats before they can impact your business → goo.gle/49pl5gY
Dharmesh Vaya ⛅️ retweeted
Agents are part of a massive, interconnected ecosystem. But how do they find and trust each other across different platforms?
Today, we’re proud to announce the Agentic Resource Discovery (ARD), an open specification alongside industry partners (including Cisco, Databricks, GitHub, GoDaddy, Hugging Face, Microsoft, NVIDIA, Salesforce, ServiceNow, and Snowflake). ARD gives any agent a secure, decentralized way to discover and verify capabilities (like tools, skills, MCP servers, and other agents) anywhere on the web.
Read the full announcement and get started: goo.gle/4a2sTWf

ALT This architectural diagram titled "Agentic Resource Discovery" illustrates two parallel paths for an AI agent to find resources: a direct "Catalog" layer where companies self-host discovery files and a centralized "Registry" discovery service. The AI agent searches these sources, then verifies and connects to resources via A2A, MCP, or API protocols. A five-step process flow at the bottom summarizes the workflow: 1) Publish, 2) Crawl, 3) Search, 4) Verify, and 5) Connect.
Dharmesh Vaya ⛅️ retweeted
Instead of assuming AI will always do what we intend, we ask: what if it doesn't?
That’s why we’ve developed our AI Control Roadmap: a framework for building and managing the advanced AI we deploy within Google. 🧵
Dharmesh Vaya ⛅️ retweeted
Most agent demos are stateless. Ask → answer → context gone.
Production agents need to run for days — pausing, resuming, persisting state.
@addyosmani joins @smithakolan on the Agent Factory to build three real agents with ADK 2.0 and Gemini 3.5 Flash, including one that runs Doom in the browser.
Check out this episode and more in the Agent Factory series → goo.gle/3QdbgMw


























