Protect sensitive data without giving up its utility across applications, databases, analytics and AI. QuantumFold™ brings application data protection, transparent database protection and controlled analytics into one data-centric security platform, with a development path toward quantum-resilient and post-quantum security.
Designed to protect sensitive information while preserving the structure, context and access patterns that applications and users need.
Selected recognition and programme participation across government, industry and academia.
QUPASS NextGen Technologies is a cybersecurity and data-protection technology company building data-centric security infrastructure for enterprises and governments.
We believe organizations should be able to use sensitive data across business operations, analytics, software development and AI without losing control over privacy, security, data sovereignty or long-term cryptographic resilience.
QuantumFold™ is our flagship platform, designed to bring data protection closer to the data itself across cloud, on-premises, private-cloud and hybrid environments.
QuantumFold™ combines application data protection, database protection, policy enforcement and protected analytics into a common architecture that can extend into AI workloads, with quantum resilience considered in its longer-term security direction.
Developer-ready APIs for encryption, tokenization, masking, redaction and related protection operations.
A PostgreSQL/MySQL database-protocol-aware protection layer for query policy, access control and protected data visibility.
Keep dashboards, reports and analytics workflows operating over protected databases.
Extend data-centric protection to prompts, RAG retrieval, AI-agent access and AI-generated outputs.
A developer-ready data-protection service designed to fit into existing application architectures.
Teams can register, authenticate, obtain credentials/tokens and invoke protection APIs from the programming environment of their choice.
QuantumFold™ Transparent Database Protection works with PostgreSQL and MySQL through a database-protocol-aware proxy.
It provides query and policy enforcement, role-based access, persona-based visibility, sensitive-data protection and audit capabilities while minimizing application-side changes.
Transparent protection for supported database workloads.
Apply policy-driven visibility based on user, application or persona.
Capture relevant access and policy events for operational and security oversight.
QuantumFold™ is extending its data-protection foundation to AI workloads rather than becoming another AI model platform.
Protect sensitive information before it reaches AI models or APIs.
Apply policy to enterprise data retrieved into AI context.
Control what AI agents can access when working with enterprise data.
Inspect and apply data-protection policy before AI output is released.
A data-centric approach for PII, PCI, PHI and other sensitive enterprise information across AI and RAG workflows.
QuantumFold™ supports a customer-resident Enterprise Data Plane for regulated and enterprise environments.
The runtime can be deployed in on-premises, private-cloud, public-cloud or hybrid environments, with the sensitive-data processing path kept within the customer's infrastructure.
Rapid API-based protection for cloud and development workloads.
QuantumFold™ runs inside the customer's environment.
Customer-resident processing with optional central management.
Designed for highly regulated and sensitive environments.
Isolated services and reduced runtime privileges.
Controlled software releases and artifact integrity.
Mutual authentication between protection components.
Designed for integration with enterprise KMS/HSM infrastructure.
QuantumFold™ is designed to protect information while preserving the characteristics required by legitimate applications and users, with quantum resilience considered as the security architecture moves toward post-quantum security.
Designed to avoid traditional centralized token-vault dependencies and support scalable protection architectures.
Structure-Preserving Scoped Tokenization designed for controlled protection and practical data utility.
Unicode-aware protection for multilingual and native-script environments, including Arabic, Japanese, Korean, Chinese, Russian.
A forward-looking security architecture for emerging quantum threats, with a development path toward post-quantum cryptography and long-term resilience.
Support more granular access to protected information rather than requiring unrestricted exposure of complete underlying values.
Protection designed with operational queries, relationships and analytics workflows in mind.
QUPASS (QUantum PASSage) has participated in cybersecurity, deep-tech and innovation programmes and engagements that have helped test, validate and refine QuantumFold™ as it progresses toward enterprise and quantum-resilient security.
CipherSprint under SHIELD 2026, organised by the Telangana Cyber Security Bureau, Telangana Police, with IIIT Hyderabad as academic partner.
Winner at the Idea and MVP stages in the Data Security category, followed by a Top-3 finish at the Final Product stage. The programme provided rigorous competition, mentorship and ecosystem exposure as QuantumFold™ evolved from concept toward an enterprise-ready platform.
QuantumFold™ incorporates proprietary QUPASS technologies including Vault-less Tokenization (VLT) and Structure-Preserving Scoped Tokenization (SPS-T).
We work with enterprises, governments, technology companies, system integrators, cybersecurity ecosystems and AI/data organizations addressing increasingly demanding data-security and quantum-resilience requirements.
A concise view of how QuantumFold™ approaches data protection across applications, databases, analytics, AI and quantum-resilient security.
QuantumFold™ is QUPASS's data-centric security platform for protecting sensitive information across applications, databases, analytics and AI. It brings application data protection, database protection, policy enforcement and protected analytics into a common protection architecture, with an approach that extends into AI and RAG workloads.
Data-centric security places protection and access policy closer to the data itself rather than relying only on controls around the surrounding application or network. The objective is to protect sensitive information while preserving the structure, context and utility that legitimate applications, users and analytics workflows require.
QuantumFold™ provides developer-ready protection APIs for operations such as encryption, tokenization, masking and redaction. Applications can authenticate, obtain the required credentials or tokens, and invoke protection services from the programming environment they already use.
Yes. QuantumFold™ Transparent Database Protection is designed to work with PostgreSQL and MySQL through a database-protocol-aware proxy. The proxy governs the access path and policy, while the protection engine performs the underlying data-protection operations.
QuantumFold™ is designed with data utility in mind. Protected data can continue to support operational queries, dashboards, reports and analytics workflows where the required protection and access policies permit it. The aim is to reduce the trade-off between protecting sensitive information and keeping it useful.
QuantumFold™ extends data-centric protection into AI workflows. Its current direction covers protection before sensitive information reaches an AI model or API, policy applied to data retrieved into AI context, controlled access for AI agents, and inspection of AI-generated output before release.
Yes. QuantumFold™ supports a customer-resident Enterprise Data Plane for regulated and enterprise environments. The protection runtime can be deployed within the customer's infrastructure, allowing the sensitive-data processing path to remain inside the customer's security boundary.
QuantumFold™ supports multiple deployment models, including cloud / SaaS, customer-resident enterprise deployment, hybrid environments, and private or sovereign environments. The appropriate model depends on the customer's operational, security and data-governance requirements.
Vault-less Tokenization is a QUPASS technology designed to avoid the dependency on a traditional centralized token vault. It is intended to support scalable data-protection architectures while retaining practical control over protected data.
Structure-Preserving Scoped Tokenization, or SPS-T, is a QUPASS technology designed for controlled protection while preserving characteristics of protected data that may be important to applications and downstream processing. It forms part of QuantumFold™'s approach to maintaining data utility under protection.
Quantum resilience is part of QuantumFold™'s forward-looking security direction. QUPASS is developing the platform with a path toward post-quantum cryptography and longer-term resilience against emerging quantum threats, while continuing to address the data-protection needs of today's enterprise environments.