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Skyflow provides a data privacy vault platform for storing, managing, and analyzing sensitive data like PII in a secure, compliant way. It uses encryption and tokenization to isolate and protect personal information, and supports customizable vault schemas and flexible deployment. It differentiates itself by offering privacy-preserving data sharing, regional expansion, and AI-enabled tooling on top of its vault. Its goal is to simplify and speed up data privacy compliance, reducing the time to compliance and enabling safe data sharing at scale.
Industries
Data & Analytics
Enterprise Software
Cybersecurity
Healthcare
Company Size
51-200
Company Stage
Series B
Total Funding
$100.5M
Headquarters
Palo Alto, California
Founded
2019
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Total Funding
$100.5M
Meets
Industry Average
Funded Over
5 Rounds
Industry standards
Health Insurance
Vision Insurance
Dental Insurance
Unlimited Paid Time Off
Flexible Work Hours
Hybrid Work Options
Stock Options
Company Equity
Coralogix and Skyflow have launched a partnership to help organisations protect sensitive customer data within logs without compromising observability. The collaboration addresses a key challenge: traditional redaction methods strip away context, making logs difficult to query and operationalise. Instead of removing sensitive data, Skyflow replaces it with privacy-preserving tokens, allowing logs to remain searchable whilst keeping underlying data centrally controlled and auditable. This approach maintains search functionality, event correlation and AI-driven operations whilst ensuring data protection. The solution enables policy-based data access, supports data residency requirements across regions, and allows AI agents to operate safely on telemetry without accessing raw sensitive data. Both companies serve enterprise clients across fintech, healthcare, retail and other regulated industries.
Skyflow delivers Runtime AI Data Security for protecting sensitive data in agentic workflows. Skyflow announced the launch of its Runtime AI Data Security platform for AWS AgentCore. While AI models are improving every few months and the industry is investing hundreds of billions of dollars on AI infrastructure, most organizations still struggle to move from demos and prototypes to production-grade agentic applications. As enterprises and the startups and ISVs that serve them begin deploying agentic applications in production, they need a reliable way to protect sensitive customer data. Preventing data leakage, meeting global compliance requirements, and enforcing which data an agent can use in which context are now foundational requirements for any real-world agentic workflow. Traditional data security and newer AI security posture management tools can only block or redact sensitive data, stopping agents from completing the very workflows they're meant to automate. Skyflow removes these roadblocks by protecting data in use with fine-grained controls that go far beyond simple redaction and blocking. Sensitive customer data remains protected, governed, and auditable even when actively processed by agents and models. AWS recently released new offerings for agentic AI, Amazon Quick Suite and Amazon Bedrock AgentCore. Amazon Quick Suite is AWS's agentic AI application that helps employees transform how they find insights, conduct deep research, automate tasks, visualize data, and take action across applications. Amazon Bedrock AgentCore is an agentic platform to build, deploy, and operate highly capable agents securely at scale. Skyflow is launching its Runtime AI Data Security solution integrated with these AWS offerings to provide a secure-by-design foundation for agentic AI. This integration delivers runtime, field-level, contextual and identity-aware protections for sensitive data (PII, PHI, PCI). For example: * With Amazon Quick Suite, Skyflow enforces runtime sensitive data protection, inspecting and de-identifying PII/PHI before it reaches any agent or model, while ensuring compliance with regulations like GDPR and HIPAA as data flows across systems. * With Amazon AgentCore, Skyflow integrates with agent identity binding and enforces policy-based data access at runtime. This ensures agents only access the "minimum necessary" data and provides field-level logging for complete auditability. "Agentic AI is rewriting how enterprises use data, but it demands a new level of protection when autonomous agents interact with sensitive information. At AWS, security has always been our top priority - it's the foundation of everything we build. AWS Quick Suite and AgentCore enable organizations to operationalize AI at scale, and integrating Skyflow adds the fine-grained data protections and agent-level governance required in regulated industries. This combination helps customers move from pilots to production with confidence, knowing their most sensitive data remains protected at every step," said Andy Perkins, General Manager, US ISV sales - Data, Analytics, GenAI. Unblocking agentic workflows with Skyflow's Runtime AI Data Security. As AI shifts from simple LLM calls to fully autonomous, multi-step agents, enterprises face a core challenge: agents need access to sensitive data to complete workflows, but traditional tools that only block, redact, or monitor prevent the agent from doing its job. The result is stalled pilots and brittle demos that can't make it to production. Skyflow's Runtime AI Data Security provides a data-first, privacy-trust layer inside the AI data flow path. Powered by Skyflow's patented polymorphic engine, it keeps sensitive data protected while still allowing AI systems to use it productively and compliantly. * Real-time discovery, classification, and de-identification of sensitive data (PII, PHI, PCI) with entity preservation so models and agents can still reason, match, and take meaningful action. * Rehydration: Fine-grained, governed restoration of original values only at the exact point for a specific task in a workflow where it is permitted and required, allowing agents to finish end-to-end tasks without overexposing sensitive data. * Global Data Residency and Sovereignty Controls, ensuring sensitive data never leaves its jurisdiction. Even when agents, MCP servers, or models run globally, Skyflow enforces in-region processing and cross-border restrictions automatically. * Context-aware governance and policy enforcement, binding identity to each agent and enforcing "minimum necessary" access based on user, agent, purpose, data type, and regulatory rules. * Entity-preserving transformations, including secure embeddings and governed vectorization, enabling safe retrieval, RAG, orchestration, and agentic workflows without exposing raw data. * Comprehensive, field-level auditability, recording every access, transformation, residency decision, and rehydration event for internal governance, verifiability and regulatory compliance. With Skyflow, agentic AI workflows can move from prototypes to production, delivering automation without compromising security, privacy, or global regulatory requirements. "The success of agentic AI depends on absolute trust and data security when agents handle sensitive enterprise data. Skyflow's Runtime AI Data Security provides the essential guardrails - protecting data exactly at the moment of use. This enables enterprises to safely scale from cautious AI pilots to full production, supporting the AWS agentic AI mission," said Anshu Sharma, CEO, Skyflow. Skyflow's Runtime AI Data Security solution ensures sensitive data moves safely at the speed of AI. By combining Quick Suite and AgentCore with Skyflow for fundamental data security and governance, enterprises unlock responsible innovation.
Skyflow unveils DPDP Data Privacy Vault for India. Bengaluru, Dec 01st: Skyflow, the global leader in AI data security and privacy, today announced the launch of a purpose-built solution to meet Digital Personal Data Protection (DPDP) Act's toughest technical requirements. Skyflow's DPDP Data Privacy Vault Platform helps enterprises exclusively protect personal data, govern its use, and accelerate safe AI innovation, while staying compliant with the rules. The DPDP Rules, notified on November 13, 2025, officially mark India's shift towards a privacy-first digital economy. With only 18 months to comply and penalties reaching up to ₹250 crore (~$30 million) per violation, enterprises must modernize their personal data protection architecture now. The Personal Data Sprawl Problem India's rapid digital growth has powered major advances across sectors, but it has also created massive exposure. Personal data now flows through every product, decision, and AI workflow, and in the process gets copied into countless systems. This "Personal data sprawl" shows up in app databases, logs, analytics warehouses, SaaS tools, reports, data lakes, and AI training pipelines. It's a growing risk: a 2024 Protiviti - CII survey found that only 24% of Indian organizations feel prepared for the privacy challenges posed by emerging technologies. The result is fragmented data that's nearly impossible to govern, protect, or use safely for AI with traditional security models. Data Protection Built for DPDP and AI Skyflow Data Privacy Vault Platform tackles this challenge by isolating and protecting sensitive customer data in a centralized data privacy vault while securing the flow of data across datastores, agents and models.Skyflow's platform provides an architectural foundation to meet the technical requirements of DPDP rules which require system-level actions and safeguard personal data throughout its lifecycle. * Personal Data Security Safeguards: Ensures personal data stays protected across every system where it is processed. Skyflow applies advanced privacy controls including polymorphic encryption, format-preserving tokenization, masking, and obfuscation, so data remains secure throughout its lifecycle and yet usable, even when implemented in analytics or AI workflows. (Adheres to rule 6 (a, d)) * Personal Data Governance: Provides engineering teams with visibility and access to fine-grained, purpose-aware controls, and reliable retention rules, with internal and external data processors. (Adheres to rule 6 (b, c, e, f, g)) * Audit-Ready Compliance Reporting: Supplies immutable logs, observability and consolidated audit reports on personal data, simplifying compliance and security teams' efforts on audit & regulatory reviews. (Adheres to rule 6 (c, e)) * Consent & Data Principal Rights Enforcement: Once consent is collected, ensures accurate enforcement of itemized consent updates and data principal requests consistently. (Adheres to rules 3, 14) * Privacy-First AI Enablement: Uses entity-preserving tokens to support analytics, model training, inference pipelines, and agentic AI systems without exposing underlying personal data. (Adheres to rule 6 (a)) Commenting on the announcement, Anshu Sharma, CEO and Co-founder of Skyflow said, "India has 1.4 billion people and will soon have 1.4 trillion agents with AI. Protecting the personal data of 1.4 billion people requires purpose-built infrastructure and architecture, not incremental fixes. The DPDP Act raises the bar for trust and accountability, and Skyflow helps enterprises meet it while safely adopting AI." "The notification of the DPDP Rules marks a pivotal moment in India's data privacy and governance landscape, catalysing a shift towards privacy-centric architectures and cryptographically resilient ecosystems. Organizations must now operationalize privacy vaults and dynamic access controls ensuring that personal data is not just protected but strategically leveraged with accountability and transparency. Privacy by design and robust privacy practices become a cornerstone of organizational excellence and a differentiator in building stakeholder trust." - Murali Rao, Senior Partner and Leader, Cybersecurity Consulting, EY India "Customer privacy and data security is one of our core values at Urbanic. Skyflow enables us to meet compliance requirements while ensuring our customers' personal data is handled with the highest standards of security." - Ashutosh Sharma, GM Strategy and Product Ops, Urbanic "At Dezerv, data privacy has never been a mere compliance tick-box. We took a proactive approach by integrating with Skyflow to tokenize client PII and strengthen investor trust." - Rishikesh Bhise, Head of Policy and Governance, Dezerv As the 18-month compliance window begins, organizations that embrace data privacy vault platform today will emerge tomorrow as leaders in India's AI-driven economy and protect as well as improve their own customer lifetime value.
Skyflow launches AI Data Security platform on Google Cloud Marketplace. Accelerating AI Adoption for Google Cloud's Healthcare and Life Sciences Ecosystem Isolate, protect and govern sensitive data on Google Cloud with Skyflow Data Privacy Vault PALO ALTO, Calif.-(BUSINESS WIRE)-Skyflow, the leader in security and privacy for the modern AI data stack, today announced the availability of its Data Privacy Vault on Google Cloud Marketplace, designed for healthcare organizations to protect and govern sensitive patient data while unlocking the power of AI and analytics. Healthcare and Life Sciences Google Cloud users can now directly access Skyflow via Google Cloud Marketplace, helping them store, process, and analyze sensitive data, without exposing it to security or privacy risks. Skyflow already protects billions of customer records for Fortune 500 companies across healthcare, retail, financial services, travel and hospitality, demonstrating growing enterprise adoption of purpose-built data security. Multi-cloud data protection just got simpler. Enterprises can now deploy Skyflow Data Privacy Vault directly in Google Cloud and secure sensitive information. Share Skyflow's Data and AI platform is built to simplify compliance with regulations including HIPAA, emerging AI governance standards, and global data privacy laws like the GDPR. With evolving data privacy regulations requiring advanced de-identification techniques that go beyond traditional database security, the platform maintains SOC 2, PCI, and EU AI Act compliance, while supporting data residency requirements across the globe. Key Benefits for Google Cloud Healthcare Customers: - Enterprise AI Data Security: Skyflow's patented polymorphic encryption protects sensitive patient data (PII/PHI) while preserving usability for AI and analytics workflows. - Seamless Google Cloud Integration: Works natively with Google Cloud services, including BigQuery. - Data Residency and Governance: Customers can enforce fine-grained policies for data access, location, and retention across global regions. With this release, Google Cloud customers can now easily deploy Skyflow to safeguard healthcare and life sciences data across use cases ranging from patient engagement to insurance claims including structured and unstructured data. Skyflow and Google Cloud customer GoodRx is the leading platform for medication savings in the U.S. With more than 30 million consumers and over 1 million healthcare professionals using GoodRx annually, GoodRx's data needs combine enormous scale with strict protection and security requirements. "With Skyflow's zero-trust vault architecture and Google Cloud's data and AI platform BigQuery, we can isolate, protect, and govern PII for our customers and continue developing innovative solutions that save our customers' time and money, ensuring they get the healthcare they deserve," said Nitin Shingate, CTO of GoodRx. "Healthcare organizations are racing to adopt AI, but sensitive data security remains a critical barrier," said Anshu Sharma, CEO and Co-founder of Skyflow. "By bringing Skyflow's AI-powered data security to Google Cloud, we're enabling healthcare innovators to deploy enterprise-wide agentic frameworks without compromising privacy, security, or compliance." "Bringing Skyflow to Google Cloud Marketplace will help customers quickly deploy, manage, and grow the company's AI data security platform on Google Cloud's trusted, global infrastructure," said Dai Vu, Managing Director, Marketplace & ISV GTM Programs at Google Cloud. "Skyflow can now securely scale and support healthcare customers using its platform to help simplify compliance with industry regulations and emerging AI governance standards." Now available on Google Cloud Marketplace, Skyflow continues to expand its mission of redefining data security in an AI-first world. About Skyflow Skyflow is the security and privacy platform for the modern AI data stack. Fortune 500 enterprises and leading ISVs use Skyflow to isolate, protect, and govern their customers' most sensitive data. With its global network of Data Privacy Vaults, Skyflow helps businesses to store, process, and share sensitive data securely. More News From Skyflow PALO ALTO, Calif.-( BUSINESS WIRE )-Skyflow launches MCP Data Protection for Enterprises deploying AI agents, enabling secure access to sensitive data without compromising functionality... PALO ALTO, Calif.-( BUSINESS WIRE )-Skyflow, the leading Data Privacy Vault for the modern AI data stack, today announced new data residency capabilities for ServiceNow customers. Enterprises can now meet stringent data sovereignty requirements without deploying separate ServiceNow instances across regions. With over 100 countries enforcing data localization laws, maintaining compliance while expanding across regions is of utmost importance. Skyflow streamlines compliance, enabling organization... PALO ALTO, Calif.-( BUSINESS WIRE )-Skyflow, the security and privacy company for the modern AI data stack, today unveiled new capabilities for Agentic AI. These allow enterprises to build and deploy AI agents with a security and privacy trust layer with features that include protecting sensitive data flowing in and out of AI agents, auditing & logging, governance, and compliance with global and regional data protection measures. There is a new ecosystem emerging for agentic apps - built on...
Skyflow, a startup focused on data security, raised a $17.5 million Series A round led by Canvas Ventures, bringing its total funding to $25 million. The company aims to help businesses manage and protect sensitive customer data with its secure data vault, which uses industry-standard encryption. Skyflow plans to expand its sales, marketing, and product portfolio, and hire more engineers. The funding highlights the growing importance of data privacy and protection in the $22.4 billion US market.
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Industries
Data & Analytics
Enterprise Software
Cybersecurity
Healthcare
Company Size
51-200
Company Stage
Series B
Total Funding
$100.5M
Headquarters
Palo Alto, California
Founded
2019
Find jobs on Simplify and start your career today