In today’s data-driven landscape, protecting information is crucial for businesses, particularly as they leverage AI and GenAI technologies. As organizations increasingly collaborate in the cloud, they require advanced data privacy solutions to derive insights without compromising sensitive information. This is where confidential computing comes into play: a technology that secures data "in use" during processing, effectively addressing a critical gap in the data security lifecycle. HCLTech’s Data TrustShield, powered by Intel’s Trust Domain Extensions (TDX) and Tiber Trust Authority, delivers this protection on the Google Cloud Platform, establishing a highly secure and scalable framework for multi-party data collaboration.

Confidential computing: Enhancing security for data in use

While traditional security measures effectively safeguard data at rest and in transit, the protection of data in use has long been a challenge. Confidential computing addresses this vulnerability by utilizing a Trusted Execution Environment (TEE), supported by Intel TDX, to secure sensitive data during processing in memory. This heightened level of security is especially critical as organizations increasingly rely on AI to handle confidential information and engage in collaborative efforts. Data TrustShield’s TEE ensures that data is isolated at the hardware level, establishing a robust foundation of trust in the cloud.

Service identification and capability at scale

As businesses expand their operations in the cloud, the identification of services and assessment of capabilities become crucial for managing security risks and operational complexities. Data TrustShield, seamlessly integrated with Google Cloud’s robust platform, empowers organizations to pinpoint critical services and scale securely. It facilitates accurate identification and tagging of services, streamlining compliance and ensuring that only authorized applications have access to sensitive data. This framework not only enhances security but also optimizes operations, allowing organizations to allocate resources efficiently and manage compliance requirements with confidence.

The HCLTech-Intel-Google Cloud collaboration

HCLTech’s Data TrustShield ecosystem relies on the vital contributions of each partner to deliver scalable and secure solutions:

• Intel (TDX and Tiber Trust Authority) provides a hardware-based secure enclave and attestation services, fostering a zero-trust environment for sensitive data. Intel TDX creates a protected execution environment, while the Intel Tiber Trust Authority ensures the integrity of computing assets across multicloud environments, facilitating secure multi-party collaboration.
• Google Cloud Platform enables seamless scaling for confidential workloads, supplying the computational power necessary for executing complex AI and data analytics tasks, with security as a foundational element.
• HCLTech integrates and manages the entire Data TrustShield service, ensuring system compatibility, supporting enterprise scaling and delivering data trust expertise. HCLTech empowers organizations to implement confidential computing while adhering to compliance and security standards through our robust service capabilities.

Business benefits in key sectors

Confidential computing offers transformative potential across industries:

1. Financial Services: Banks can detect fraud by analyzing transaction data in secure enclaves without exposing customer information, enhancing trust in digital financial services.
2. Healthcare: Hospitals and researchers can securely collaborate on health data, advancing AI-based diagnostic tools while preserving patient privacy.
3. Retail and Advertising: Secure “data clean rooms” enable advertisers to share insights without compromising customer data privacy, meeting stringent regulations.
4. Manufacturing and Supply Chain: Secure collaboration enhances transparency, improving product quality and operational efficiency across partners in complex supply chains.

Scaling AI and GenAI with Data TrustShield

Data TrustShield not only protects data but also fuels AI and GenAI applications, where secure access to diverse data is key. With secure enclaves for runtime data protection and zero-trust attestation, businesses can innovate faster, using AI to derive insights from sensitive data without compromising privacy. For instance, pharmaceutical companies can use AI to analyze patient data for drug discovery without breaching confidentiality, driving advancements while adhering to strict regulatory standards.

The path forward: Building trust in data and innovation

HCLTech’s Data TrustShield, powered by Intel and Google Cloud, is revolutionizing data privacy standards through confidential computing. This innovative solution facilitates secure and compliant data sharing, allowing businesses to drive innovation confidently in AI and GenAI. As organizations increasingly adopt multicloud environments, Data TrustShield emerges as a resilient and scalable solution that safeguards sensitive data at every stage.

In the pursuit of digital transformation, confidential computing is essential. By securing data throughout its entire lifecycle, HCLTech’s Data TrustShield enables organizations to create trusted, privacy-centric ecosystems that can expand alongside their ambitions, ensuring that the future of data-driven innovation is both secure and transformative.