HPE
Security and Governance at Scale
2,500 Accounts on one governed platform
Protecting sensitive data starts with seeing and governing data across the whole estate.
Partners
Protect Sensitive Data and Ship AI Safely, With Flentas and Skyflow
Your most sensitive data, from customer PII to payment details and health records, is copied across warehouses, apps, logs and now AI pipelines. Every copy is exposure, and AI multiplies it. Skyflow is a data privacy vault that isolates and tokenizes sensitive data and controls it at runtime, so analytics and AI run on protected data, not raw PII. Flentas integrates it across your AWS data platform, applications and AI.
The Reality
Why Sensitive Data Is Harder to Control Than Ever
Data protection used to be about the database. Now sensitive data spreads across every system and flows into AI, where a single prompt or agent can expose it.
Sensitive data is copied everywhere
PII sits in warehouses, applications, logs, analytics platforms and SaaS tools. Every copy widens the blast radius of a breach and the scope of an audit.
AI breaks data security
Feeding real customer data to models, agents, retrieval and MCP servers can leak PII in ways traditional controls never anticipated, which stalls AI projects at the security review.
Compliance pulls in every direction
The DPDP Act, GDPR, HIPAA and PCI each make demands on the same data, and residency rules add where it may live. Enforcing all of that by hand does not scale.
Key Benefits
Why Choose Flentas and Skyflow
Keep sensitive data in a vault, let the rest of your systems work with tokens, and control access at the moment data is used.
Protection That Follows the Data
A zero-trust vault and runtime tokenization protect PII wherever it flows, including into AI, not just at the database edge.
Ship AI Without the Security Stall
Teams can build on real data safely, so AI projects clear security review instead of dying in it.
Buy the Hard Part, Do Not Build It
A dedicated vault replaces months of in-house engineering, and Flentas integrates it into your stack quickly.
Cloud and Data Depth
AWS Advanced Consulting Partner and AWS APJ Partner of the Year 2025, with the data engineering and security experience to make protection real.
Proof Points
Data and Security Foundations at Scale
- Accounts governed on one data platform across AWS, Azure and GCP
- 2,500
- Events per day processed with full audit logging
- 500M+
- To stand up privacy rigor with a vault, not the months of building one in house
- Hours
How It Works
How We Deliver
We start by finding the exposure, then vault the sensitive data, then keep it protected as new apps and AI use cases arrive. Protection follows the data, not the perimeter.
- 01
Assess
We discover where sensitive data lives and how it is exposed, especially to analytics and AI, map it to your compliance obligations and design the vault architecture.
- 02
Implement
We stand up the Skyflow vault, tokenize PII, integrate it with your applications, data platform and AI pipelines on AWS, and set field-level, role-based runtime access policies.
- 03
Operate
We run it, extend protection to new AI and analytics use cases, monitor data flows, and keep residency and compliance intact as you grow.
What the Partnership Delivers
A Vault for Your Most Sensitive Data
Skyflow isolates sensitive data in a zero-trust vault with polymorphic encryption and field-level, role-based access. Flentas weaves it through your real systems and operates it so protection keeps pace as you scale.
Sensitive Data Discovery and Vaulting
Find PII across structured and unstructured sources, then isolate and tokenize it so downstream systems hold tokens, not raw data.
Safe AI and Agents
Build and deploy models, agents, retrieval and MCP servers on real data without leaking PII, with access controlled at runtime by role and field.
Secure Data Flows
Govern how data moves through agents and multi-agent workflows, so context sharing does not become data leakage as your agent estate grows.
Secure Analytics
Run analytics on Databricks, Snowflake and similar platforms using tokenized data, so teams get insight without direct exposure to PII.
Data Residency
Meet localization requirements under laws such as the DPDP Act and GDPR without spinning up and maintaining separate regional stacks.
Compliance by Design
Reduce the scope and cost of HIPAA, PCI, GDPR and DPDP obligations by shrinking where sensitive data actually lives.
Relevant Experience
Where the Foundations Come From
Protecting data at runtime sits where data engineering meets security, which is where Flentas works. Skyflow customers such as GoodRx already use its vault to govern PII inside platforms like Databricks and BigQuery; the Flentas engagements below show the data and security foundations we bring to that integration.
Cashew Payments
A Governed, Auditable Data Foundation
100% Reporting moved off production
Payments data is exactly the kind of sensitive data a vault is built to protect.
What We Are Building Next
Where the Partnership Is Investing
Sensitive data protection and AI are converging fast, and the partnership is investing where the exposure is growing.
01 Data Security for AI Agents
Governing PII across agents, multi-agent workflows and MCP servers so the agentic enterprise does not leak sensitive data.
02 Privacy-Preserving RAG and Analytics
Retrieval and analytics that run on tokenized data, so AI features and dashboards never touch raw PII.
03 Sovereign and Resident AI
Architectures that keep data in region and under control, so AI stays compliant with residency and sovereignty requirements.
04 Vaulting Built Into the Data Platform
Making tokenization a default step in ingestion, so new data is protected the moment it lands.
FAQ
Frequently Asked Questions
What's Next
Where This Fits in Your Journey
Skyflow is the data-layer vault. It pairs with consent and compliance tooling rather than replacing it.
Sensitive Data Assessment
Do You Know Exactly Where Your Customer PII Is, and Who Can See It?
You cannot protect what you cannot see. A Flentas sensitive data assessment shows where your PII lives, where it is exposed, especially to analytics and AI, and how to bring it under control. You get a prioritized exposure and risk report, a vault architecture for your applications, data platform and AI, and a roadmap to protect sensitive data and unblock safe AI. No obligation.