Yotta Infrastructure has partnered with Mirror Security to launch encrypted AI inference as a service, a new offering aimed at strengthening data protection during the deployment of artificial intelligence models. The companies said the solution is designed to enable enterprises to run AI workloads while ensuring that sensitive data remains encrypted even during processing.
As organisations accelerate AI adoption, concerns around data privacy and security have become more pronounced. Traditional cloud based AI inference workflows often require data to be decrypted while being processed, creating potential vulnerabilities. The joint offering from Yotta and Mirror Security seeks to address this challenge by leveraging confidential computing principles to keep data encrypted while models perform inference tasks.
AI inference refers to the stage where a trained model processes new data to generate predictions or insights. While training is typically conducted in controlled environments, inference frequently occurs in production systems where real time data is handled. For industries such as finance, healthcare and government, this data can include highly sensitive information, increasing the importance of secure deployment frameworks.
According to the companies, the encrypted AI inference service is built on Yotta’s data centre infrastructure and integrates Mirror Security’s encryption technologies. The approach is intended to ensure that data remains protected not only at rest and in transit but also while it is actively being processed. This capability is often described as encryption in use, a key component of confidential computing architectures.
The solution is positioned for enterprises that require strict compliance with data protection regulations and internal governance policies. As global regulatory scrutiny around AI and data handling intensifies, organisations are seeking infrastructure that reduces exposure risks without compromising performance. The companies indicated that their joint service aims to balance security with scalability.
Yotta Infrastructure operates large scale data centres in India and has been expanding its portfolio to support AI workloads. By collaborating with Mirror Security, the company is adding a security focused layer to its AI infrastructure capabilities. The encrypted inference offering is expected to cater to enterprises deploying large language models, computer vision systems and predictive analytics applications.
Mirror Security specialises in advanced encryption and confidential computing technologies. Its integration into Yotta’s platform allows AI models to run within secure enclaves, where computations occur in isolated environments protected from unauthorised access. This design aims to mitigate risks such as data leaks, insider threats or cyberattacks targeting active workloads.
Industry observers note that as AI systems become more deeply embedded in enterprise operations, safeguarding inference environments is becoming as critical as securing training datasets. While significant attention has been placed on model development and bias mitigation, operational security remains a parallel priority.
The launch also reflects a broader movement toward sovereign and secure AI infrastructure within India. With increasing emphasis on domestic data localisation and secure cloud services, infrastructure providers are positioning themselves as partners in building resilient digital ecosystems. Secure AI inference services could play a role in supporting sectors that handle regulated or classified data.
The companies emphasised that the encrypted inference solution does not require enterprises to redesign their existing AI models extensively. Instead, it is intended to integrate with common machine learning frameworks, allowing organisations to transition to secure inference environments with minimal disruption. Performance optimisation has been cited as a key focus to ensure that encryption does not introduce significant latency.
Analysts suggest that the market for confidential computing and secure AI infrastructure is poised for growth as enterprises move from pilot projects to large scale deployments. As AI applications expand across customer service, fraud detection, diagnostics and analytics, protecting operational data pipelines becomes increasingly complex.
The collaboration between Yotta and Mirror Security may also signal deeper integration between infrastructure providers and specialised cybersecurity firms. Combining scalable compute capacity with advanced encryption technologies allows providers to address enterprise concerns more comprehensively.
Enterprises adopting encrypted AI inference are likely to evaluate factors such as regulatory alignment, cost efficiency and integration flexibility. While enhanced security can increase operational confidence, it must also align with business performance requirements. The ability to demonstrate both protection and efficiency will influence adoption levels.
The initiative arrives at a time when organisations globally are reassessing cloud strategies in light of evolving cyber threats. Confidential computing has emerged as one pathway to mitigate risk by isolating sensitive workloads within hardware protected environments. Applying these principles to AI inference represents an extension of that approach.
By launching encrypted AI inference as a service, Yotta and Mirror Security are positioning themselves within the growing secure AI infrastructure segment. As enterprises seek to deploy AI responsibly and securely, infrastructure that protects data throughout its lifecycle is likely to gain prominence.
The long term impact of such offerings will depend on enterprise uptake and demonstrated reliability at scale. However, the move underscores how AI infrastructure providers are adapting to heightened expectations around data protection, transparency and compliance.
With security concerns increasingly shaping AI adoption decisions, encrypted inference services may become a standard requirement rather than a specialised add on. The partnership between Yotta and Mirror Security highlights how infrastructure and cybersecurity capabilities are converging to support the next phase of enterprise AI deployment.