San Francisco: Production Agents Hackathon ⚡🤖 We’re excited to join innovators from Amazon Web Services (AWS), Anthropic, and many more to push what AI agents can do in the real world. Safely. Skyflow helps teams build agents that can safely use sensitive data and actually make it to production. 📅 Friday, Nov 21 📍 AWS Startup Loft, San Francisco 🏆 $50K+ in prizes! See you there. Register here 👉 https://luma.com/ai-hack
Skyflow
Software Development
Palo Alto, California 36,654 followers
Data Privacy Vault
About us
Skyflow is the security and privacy platform for the modern AI data stack built to radically simplify how companies isolate, protect, and govern their customers’ most sensitive data. With its Data Privacy Vault, Skyflow enables businesses to store, process, and share sensitive data securely. Skyflow is backed by leading investors and is trusted by Fortune 500 and growth companies across financial services, healthcare, travel & hospitality, and retail.
- Website
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https://www.skyflow.com
External link for Skyflow
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- Palo Alto, California
- Type
- Privately Held
- Founded
- 2019
Products
![Click here to view Skyflow Data Privacy Vault]()
Skyflow Data Privacy Vault
Data Privacy Management Software
Accelerate your speed of innovation while ensuring data privacy, security and compliance. As easy as an API. Fast to implement, endlessly customizable, and ready to help you solve the biggest data privacy challenges. With the Skyflow PII Vault, you get: -Workflow aware architecture -Polymorphic data encryption -Data governance and access control -Globally distributed data storage -Secure analytics and data sharing -And much more
Locations
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Primary
Get directions
195 Page Mill Rd
Suite 111
Palo Alto, California 94306, US
Employees at Skyflow
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Ashu Garg
Enterprise VC-engineer-company builder. Early investor in @databricks, @tubi and 6 other unicorns - @cohesity, @eightfold, @turing, @anyscale…
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Ray Everett
First Chief Privacy Officer of the Internet era. 25+ years as an industry leader in privacy and data governance. Entrepreneur, advisor, operator…
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Noah Arliss
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George Mathew
Managing Director at Insight Partners. Builder turned venture capitalist. Optimist for an AI-first future.
Updates
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Skyflow was proud to participate in The Bharat Privacy & AI Conference 2025 (an initiative by DPO Club) — a timely gathering as India moves toward full #DPDP enforcement and rapid AI adoption. A recurring theme across our conversations is clear: organizations must get control over their personal data sprawl and protect sensitive information while still enabling innovation. Skyflow’s Data Privacy Vault delivers exactly that—securely isolating, tokenizing, and governing personal data to power DPDP-compliant systems at scale. Deepak Annamalai • Akanksha Goyal • Bhavani Somanchi
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#DPDP has changed the conversation from ‘should we secure data?’ to ‘how fast can we get compliant?' At the Super 40 Digital Native AI Summit, we’re showing India’s top digital-native teams how a Data Privacy Vault cuts through the complexity — and makes privacy-by-design a reality. Kalpesh Jajoo • Aalap Mehta • Neha Jamwal • Piyush Upadhyay • Saurabh Somani
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A small percent of leaked sensitive data can cause 90% of the damage to your brand. In this episode of The Neural, Amruta Moktali (CPO, Skyflow) cuts through the noise on India's DPDP compliance and focuses on what matters most to Engineering, Security and Compliance teams: the hidden architectural risks inside AI systems, from model training and data sprawl to cross-border data transfers. If you’re building AI in India, this is the playbook you wish you had six months ago. Key takeaways: -> When #DPDP enforcement starts & what actually triggers audits -> Architecture changes AI builders need to make in 2025 -> Cost-effective tools to protect sensitive data -> How to handle cross-border data flows without tripping DPDP Watch the full conversation - Link in the first comment. #DataPrivacy #AISecurity #LLMSecurity #DataProtection #PrivacyEngineering
"It doesn't apply to me because I'm not collecting customer data." That's the #1 misconception about DPDP compliance, according to Amruta Moktali, CPO at Skyflow. And it's costing AI builders everything. Here's what we know: → 90% of Indian startups have launched AI features → Only 9% understand DPDP compliance requirements → Maximum penalty: ₹250 crore → Final rules expected Q3-Q4 2025 → But the damage is already happening In our latest episode, Amruta Moktali shares a story that stopped me cold: A startup trained an entire AI model. Spent months on it. Invested heavily. When they tried to deploy... they couldn't. The model was legally unusable. They had to start over from scratch. That's not a hypothetical. That happened. And here's the question no one's asking: How many AI companies are making that same mistake RIGHT NOW? Because here's what most builders don't realize: → AI creates risks that traditional software never had → Your model can't "unlearn" what you've already trained it on → One architectural decision can reduce your compliance burden by 67% or multiply it exponentially → The penalty isn't even the worst consequence Amruta Moktali has seen both sides: the AI boom at Salesforce Einstein, and now the privacy challenges at Skyflow. She breaks down: ❓ What actually constitutes a data breach in AI contexts (it's not what you think) ❓ Why chatbots and RAG systems have specific landmines most founders miss ❓ The cross-border data trap that affects every company using OpenAI or Gemini ❓ The one thing you can do THIS WEEK to start protecting yourself But here's the uncomfortable truth she shares: Most companies won't take action until it's too late. Don't be one of them. 📺 Watch Part 1 now (link in first comment) Here's my question for you: If you're building with AI in India, what's stopping you from addressing DPDP compliance today? Cost? Complexity? Or do you think you have more time than you actually do? #DPDP #AICompliance #DataPrivacy #ResponsibleAI #IndianStartups #AIinIndia #TechPolicy #TheNeural
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AI is moving fast but security and compliance can’t be an afterthought. Skyflow helps companies unlock AI safely, and we’re bringing that expertise (plus some game-changing demos) to booth #1383 in Las Vegas. Stop by to: ✨ See how our AI Data Security Platform keeps sensitive data secure ✨ Learn how to accelerate AI adoption while staying secure ✨ Connect 1:1 with our execs & experts 📍 Visit us at booth #1383 🔗 See our happening and schedule a demo: https://lnkd.in/gJvFQSb7
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Most screens talk about departures. Ours talk about India’s official arrival into its data-protection era. With DPDP rules notified on November 14, 2025 and 18 months to comply, India is preparing to protect the trust of 1.4 billion people and Skyflow is humbled and fully committed to be supporting this mission. #DPDP #DataPrivacy #DataSecurity #DPDPRules #GartnerITSymposium
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Skyflow reposted this
🔐 Architecting for Trust: Data Protection Strategies in the Age of AI & Regulation As enterprises embed AI deeper into their workflows, data protection has moved from a compliance checkbox to a design principle. In an era where “models never forget,” Deepak Annamalai, Regional Director – APAC at Skyflow, underscored how organizations must rethink their architectures to secure sensitive data across LLMs, agents, and enterprise AI systems. He highlighted that traditional methods like masking or blocking data no longer suffice. Instead, tokenization, auditability, and privacy-by-design frameworks are emerging as the foundation for scaling AI responsibly — allowing innovation without exposure. Know More: https://lnkd.in/g_msMBu6 #ETMakingAIWork #DataSecurity #AITrust #Skyflow #ResponsibleAI #EnterpriseAI #DataGovernance #EconomicTimes
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As enterprises double down on AI, one question stands out: How do you harness the power of AI without risking sensitive data? At today’s Making AI Work summit by ETCIO, Deepak Annamalai, Regional Director – APAC at Skyflow, explored exactly that in his session on “Secure Use of Sensitive Data in AI Workflows.” The message was clear — privacy-first AI isn’t optional; it’s essential. Visit the Skyflow booth (# 7) to see how we’re helping organizations unlock AI’s potential securely and responsibly. #DataPrivacy #MakingAIWork #ResponsibleAI Neha Jamwal ◦ Piyush Upadhyay ◦ Chetana Balip ◦ Bhavani Somanchi
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🚀 Countdown to AWS re:Invent is on! Skyflow returns to #AWSreInvent 2025 with live demos, expert insights, and practical solutions for the most complex data security challenges in AI. If you’re exploring how to harness Gen and AgenticAI safely, meet us at booth #1383 to see how Skyflow can help you move fast without compromising security, utility or compliance. 📍 Visit us at booth #1383 🔗 Schedule your demo: https://lnkd.in/g4RV3DEd
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