Protect sensitive data
while in-use
New deep-data technology enforces policies on data in real-time, wherever it may be located.
Playbooks
Secure data while balancing
opportunity and risk
- Zero-trust data sharing
- Privacy-enhanced technologies (PETs)
- Confidential computing
- Minimized blast radius
Industry: Telecommunications
Enforcing zero-trust data sharing across distributed geographies and data lakes
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A global telecommunications company faces significant hurdles in managing its vast data ecosystem, which spans multiple countries and regulatory jurisdictions. The company operates numerous data lakes and warehouses across various geographical locations, storing sensitive customer information, network usage data, and operational analytics.
The primary challenge is securing collaboration between departments, regional offices, and external partners while maintaining strict compliance with diverse data protection regulations, such as GDPR, CCPA, and industry-specific mandates.
The company struggles to balance the need for data-driven innovation with the imperative to protect customer privacy and maintain regulatory compliance. This situation is further complicated by the need to share data with third-party vendors for network optimization, customer experience enhancement, and fraud detection, all while preventing unauthorized access or data breaches.
The inability to efficiently and securely share data across organizational boundaries hinders the company’s ability to leverage its full data potential, impeding innovation and operational efficiency.
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QuantumZero establishes a zero-trust data-sharing model that dynamically enforces data governance policies at runtime. This solution allows authorized users to query encrypted data directly using standard SQL statements without decrypting entire datasets. This approach maintains data security while enabling analysis and collaboration.
Additionally, QuantumZero creates a micro-perimeter of compliance controls around each data element, ensuring that sensitive data is only accessible to authorized personnel for approved purposes. It also allows for dynamic data transformations based on the specific needs of data consumers, enabling secure data sharing while preserving data utility for various use cases.
This comprehensive approach enforces granular access controls and compliance policies at the data level, maintaining security even beyond organizational perimeters.
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– Enhanced Data Security: Sensitive customer and network information remains encrypted even during use, significantly reducing the risk of data breaches across global operations.
– Improved Regulatory Compliance: Automated enforcement of data governance policies ensures consistent adherence to diverse global telecommunications regulations.
– Accelerated Innovation: Data scientists and analysts gain faster access to valuable datasets for AI/ML initiatives, fostering innovation in network optimization and customer experience enhancement.
– Streamlined Cross-Border Collaboration: Secure data sharing across departments and with external partners becomes seamless, breaking down data silos between different countries and regions.
– Reduced Operational Costs: Decreased need for manual compliance checks and audits leads to significant cost savings in global data management.
– Increased Data Utilization: Previously underutilized datasets become accessible for analysis, driving more informed decision-making across the organization’s global footprint.
– Simplified Global Data Governance: Centralized policy management and automated enforcement reduce the complexity of governing large-scale data ecosystems across multiple jurisdictions.
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QuantumZero transforms the telecommunications company’s approach to global data management and utilization. By enabling zero-trust data sharing, the organization not only enhances its security posture and regulatory compliance across diverse jurisdictions but also unlocks new opportunities for innovation and collaboration on a global scale. The ability to securely leverage sensitive data across organizational and geographical boundaries positions the company as a leader in data-driven telecommunications services, capable of responding swiftly to market changes and customer needs while maintaining the highest standards of data protection.
Long-term, this shift towards a more agile, secure, and collaborative global data ecosystem supports the organization’s strategic goals of digital transformation and customer-centric innovation, ensuring its competitiveness in the rapidly evolving telecommunications industry.
Industry: Healthcare
Privacy Enhanced Technologies for AI: unlocking sensitive data securely
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A leading healthcare conglomerate faces a critical dilemma in leveraging its vast patient data for AI-driven research and personalized medicine initiatives. The organization possesses an extensive data lake containing sensitive patient information, including medical histories, genomic data, and treatment outcomes. However, stringent privacy regulations such as HIPAA and GDPR, coupled with ethical concerns about patient confidentiality, severely restrict the use of this valuable data for AI model training and cross-institutional collaboration.
Traditional data anonymization techniques often compromise data utility, rendering it less effective for AI applications. Meanwhile, decrypting data for analysis exposes it to potential breaches and compliance violations. This predicament has led to data silos, hindering innovation in predictive diagnostics, drug discovery, and personalized treatment plans.
The healthcare provider struggles to balance the immense potential of AI-driven healthcare advancements with the paramount need to protect patient privacy and maintain regulatory compliance.
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QuantumZero allows healthcare organizations to securely use encrypted patient data for AI applications without decryption, ensuring patient privacy. It enables authorized researchers and AI systems to query and analyze encrypted data using standard SQL statements, maintaining data security while enabling complex AI model training and analytics.
Dynamic data transformations, such as format-preserving encryption, data masking, bucketing ,etc. are also possible, allowing for secure data sharing and collaborative research while maintaining compliance.
This comprehensive approach unlocks the full potential of patient data for AI-driven innovation while upholding the highest standards of data privacy and security.
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– Enhanced Patient Privacy: Sensitive patient information remains encrypted even during AI model training and analysis, significantly reducing the risk of data breaches and privacy violations.
– Accelerated AI Innovation: Data scientists and researchers gain faster, more comprehensive access to valuable patient datasets for AI initiatives, fostering innovation in predictive diagnostics and personalized medicine.
– Improved Regulatory Compliance: Automated enforcement of data governance policies ensures consistent adherence to HIPAA, GDPR, and other healthcare data regulations during AI research.
– Expanded Collaborative Research: Secure data sharing with external research institutions becomes seamless, breaking down data silos and accelerating multi-center clinical studies and AI model development.
– Increased Data Utilization: Previously underutilized patient datasets become accessible for AI analysis, driving more informed clinical decision-making and treatment planning.
– Streamlined AI Workflow: Researchers can directly query and use encrypted patient data for AI model training without complex data preparation or anonymization steps, accelerating the research cycle.
– Reduced Operational Costs: Decreased need for manual compliance checks and data anonymization processes leads to significant cost savings in AI research data management.
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Privacy-enhanced technologies transforms the healthcare organization’s approach to AI-driven research and innovation. By enabling secure, compliant use of encrypted patient data, the solution not only enhances data privacy and regulatory compliance but also unlocks new opportunities for AI-driven advancements in personalized medicine, drug discovery, and predictive healthcare.
QuantumZero’s ability to securely leverage sensitive patient data across organizational boundaries positions the healthcare provider as a leader in ethical, data-driven medical research.
Long-term, this shift towards a more secure, collaborative, and AI-friendly data ecosystem supports the organization’s strategic goals of improving patient outcomes through cutting-edge technology while maintaining the highest standards of patient privacy and trust.
Industry: Aerospace
Confidential computing for multi-party collaboration
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A leading aerospace research consortium faces a critical dilemma in leveraging sensitive data from multiple organizations for collaborative AI-driven innovation. The consortium, comprising government agencies, private aerospace companies, and academic institutions, possesses vast datasets containing proprietary aircraft designs, performance metrics, and experimental results.
However, stringent intellectual property protections and national security concerns severely restrict the sharing and collective analysis of this valuable data. Traditional data sharing methods, such as secure enclaves or clean rooms, are prohibitively expensive, time-consuming to set up, and limit the agility needed for cutting-edge research.
This predicament has led to data silos, hindering innovation in areas such as next-generation propulsion systems, advanced materials, and AI-powered flight control algorithms. The consortium struggles to balance the immense potential of collaborative AI-driven aerospace advancements with the paramount need to protect each member’s intellectual property and maintain national security protocols.
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QuantumZero enables secure multi-party AI collaboration by implementing confidential computing directly within each organization’s data environment. This allows researchers and AI systems to query and analyze encrypted data using standard SQL statements without the need for data movement or decryption, maintaining data security and intellectual property protection.
Additionally, it ensures that sensitive information is only accessible for approved research purposes by creating a micro-perimeter of compliance controls around each data element. Dynamic data transformations enable the sharing of pseudonymized research data for collaborative AI projects while maintaining security protocols. This approach unlocks the full potential of collective data for AI-driven innovation while upholding the highest standards of data privacy and security for each member organization.Furthermore, QuantumZero allows all parties to collaborate directly with their encrypted data, eliminating the need for a separate setup or data decryption. This ensures the protection of sensitive information while preserving complete data integrity for seamless co-creation and analysis.
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– Enhanced Intellectual Property Protection: Sensitive research data and proprietary designs remain encrypted even during collaborative AI model training and analysis, significantly reducing the risk of intellectual property theft or unauthorized access.
– Accelerated Aerospace Innovation: Researchers gain faster, more comprehensive access to diverse datasets from multiple organizations for AI initiatives, fostering innovation in areas like advanced propulsion systems and smart materials.
– Improved Regulatory Compliance: Automated enforcement of data governance policies ensures consistent adherence to export control regulations and national security protocols during cross-organizational AI research.
– Expanded Collaborative Research: Secure data sharing between government agencies, private companies, and academic institutions becomes seamless, breaking down data silos and accelerating multi-disciplinary aerospace studies.
– Increased Data Utilization: Previously isolated datasets become accessible for AI analysis across organizational boundaries, driving more informed design decisions and accelerating product development cycles.
– Streamlined AI Workflow: Researchers can directly query and use encrypted data from multiple sources for AI model training without complex data preparation or anonymization steps, accelerating the research cycle.
– Reduced Operational Costs: Decreased need for expensive secure enclaves and private infrastructure leads to significant cost savings in collaborative AI research data management.
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QuantumZero’s confidential computing technology transforms the aerospace research consortium’s approach to collaborative AI-driven innovation. By enabling secure, compliant use of encrypted data across organizational boundaries, the solution not only enhances intellectual property protection and regulatory compliance but also unlocks new opportunities for groundbreaking advancements in aerospace technology.
The ability to securely leverage sensitive data from multiple sources positions the consortium as a leader in collaborative, data-driven aerospace research. Long-term, this shift towards a more secure, collaborative, and AI-friendly data ecosystem supports the consortium’s strategic goals of accelerating innovation in aerospace technology while maintaining the highest standards of data security and trust between member organizations.
Industry: Media Entertainment
Revolutionizing customer experience and securing the data supply chain
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A global media and entertainment conglomerate faces significant challenges in managing and securing its vast data ecosystem spanning multiple content production studios, streaming platforms, and distribution channels. The company’s data lakes and warehouses contain highly sensitive information, including unreleased content, viewer behavior analytics, and proprietary algorithms for content recommendation.
The primary challenge lies in enabling secure collaboration between different departments, external partners, and third-party vendors while maintaining strict control over intellectual property and preventing unauthorized data access or leaks. Traditional security measures, relying solely on perimeter-based controls, have proven inadequate as data frequently moves beyond organizational boundaries for collaborative projects, content licensing, and analytics purposes.
This situation is further complicated by the need to process and analyze large volumes of data in real-time to inform content creation decisions and personalize viewer experiences. The inability to maintain granular control over data access and usage across the entire content lifecycle not only poses significant risks of intellectual property theft and premature content leaks but also hinders the company’s ability to fully leverage its data assets for innovation and competitive advantage in the rapidly evolving media landscape.
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QuantumZero establishes a zero-trust data-sharing model that dynamically enforces data governance policies at runtime, significantly minimizing the potential impact of any data breach. This solution allows authorized users to query encrypted data directly using standard SQL statements without decrypting entire datasets. This approach maintains data security while enabling analysis and collaboration across the content lifecycle.
Additionally, QuantumZero creates a micro-perimeter of compliance controls around each data element, ensuring that sensitive information is only accessible to authorized personnel for approved purposes, regardless of where the data resides. It also allows for dynamic data transformations, enabling secure data sharing for various use cases such as content analytics and recommendation engine optimization while preserving data utility and protecting intellectual property.
This comprehensive approach enforces granular access controls and compliance policies at the data level, maintaining security even beyond organizational perimeters and minimizing the impact of potential breaches.
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– Enhanced Intellectual Property Protection: Sensitive content and proprietary algorithms remain encrypted even during collaborative projects and analytics processes, significantly reducing the risk of leaks and unauthorized access.
– Improved Content Security: Granular access controls and dynamic policy enforcement minimize the risk of premature content leaks, protecting revenue streams and maintaining competitive advantage.
– Accelerated Content Innovation: Data scientists and content creators gain faster, more comprehensive access to viewer behavior data and content performance metrics for AI-driven content recommendations and production decisions.
– Streamlined Collaboration: Secure data sharing between internal teams, external partners, and third-party vendors becomes seamless, accelerating content production and distribution processes.
– Reduced Operational Risks: Decreased potential blast radius of data breaches leads to significant risk mitigation in content management and distribution.
– Increased Data Utilization: Previously underutilized datasets become accessible for analysis, driving more informed content strategy and personalization efforts.
– Simplified Compliance Management: Centralized policy management and automated enforcement reduce the complexity of governing large-scale content and viewer data ecosystems across multiple platforms and jurisdictions.
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QuantumZero’s zero-trust data sharing technology transforms the media conglomerate’s approach to data management and content security. By enabling secure, compliant use of encrypted data across the content lifecycle, the solution not only enhances intellectual property protection and minimizes breach impact but also unlocks new opportunities for data-driven content innovation and personalized viewer experiences.
The ability to securely leverage sensitive data across organizational boundaries positions the company as a leader in data-driven media production and distribution, capable of responding swiftly to viewer preferences and market trends while maintaining the highest standards of content security.
Long-term, this shift towards a more secure, collaborative, and data-centric ecosystem supports the organization’s strategic goals of content innovation and viewer engagement, ensuring its competitiveness in the rapidly evolving media and entertainment landscape.
What are you waiting for ?
Data security is not a zero-sum game:
Maximize both protection and usability
QuantumZero increases data utility without compromising usability or compliance.
Enforce zero-trust data sharing
QuantumZero enables secure data-sharing by dynamically enforcing data governance policies at runtime. It’s a zero-trust model that ensures data protection and compliance throughout its lifecycle, fostering collaboration and innovation while upholding strict privacy and security standards.
Benefit from privacy-enhanced technologies (PETs)
Today, the only way of getting utility out of encrypted data is by decrypting it. QuantumZero technology works with encrypted data without the need for decryption. It transforms data into several useable formats, like Format Preserved Encryption (FPE), which allows organizations to leverage valuable datasets for AI/ML, analytics, and collaboration while maintaining strict privacy controls and regulatory compliance. Thus, QuantumZero effectively balances data utility with data protection.
Confidential computing in multi-party data use
Any effort today to protect sensitive data while it is being processed involves setting up isolated secure enclaves or cleanrooms. With QuantumZero, organizations can operate on secure data while it remains encrypted in the existing environment. By design, the technology runs on the data lake (zero-copy data), is always secure, maintains referential integrity, and is ready to collaborate without exposing underlying information.
Minimize information blast-radius
Currently, infrastructure controls are the only way to enforce blast-radius controls, and they only work within a limited perimeter. QuantumZero significantly minimizes the impact of data breaches on the organization. The technology keeps the data encrypted during use while enforcing granular controls on the data dynamically. This zero-trust micro-perimeter limits unauthorized exposure, reducing attack surfaces and bolstering data security.
Frequently Asked Questions
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How does QuantumZero support AI/ML initiatives while maintaining data privacy?
QuantumZero supports AI/ML initiatives while maintaining data privacy through its searchable encryption technology and BEAMS component. The searchable encryption allows AI/ML models to work with encrypted data without decryption, preserving privacy. BEAMS can dynamically transform data fields based on the specific needs of AI/ML processes while adhering to privacy requirements. This enables the use of sensitive data for model training and analysis without exposing the raw data, balancing the need for rich datasets with privacy concerns.
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Can QuantumZero help streamline our data management processes?
QuantumZero is a deep-data technology company that helps organizations harness the full potential of their classified data assets, all while upholding the integrity, security, privacy, and compliance of their data. We are your partners in navigating the ever-evolving landscape of data technology, and we are committed to bringing more trust in data and removing technology as the limiting factor to data sharing and use. Find out more information by reading more.
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How does QuantumZero's technology integrate with our existing data infrastructure?
QuantumZero is designed to integrate seamlessly with existing data infrastructure. It operates as a headless deep-data technology at the business-use level in your modern data stack. The solution can be rapidly deployed in popular Data Lake environments such as GCP BigQuery, Azure SQL Warehouse, AWS Redshift, Oracle, Snowflake, Cloudera, and Teradata. It works alongside your current data tools and platforms, enhancing them without requiring significant changes to your infrastructure or workflows.
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How easy is it to operationalize data using QuantumZero?
Operationalizing data using QuantumZero is designed to be quick and straightforward. The technology can be deployed in days rather than months, allowing for rapid data activation. QuantumZero’s SLATE suite of helper utilities enables you to quickly onboard and activate datasets for time-sensitive use cases. Tools like QZ Rapid-Scan auto-generate data catalogs and semantic layers, while QZ Sentinel and QZ Analyzer help identify and secure sensitive data. This approach allows you to incrementally improve your data usability and compliance, focusing on specific use cases rather than requiring a comprehensive overhaul of your entire data ecosystem.
