Anjuna’s confidential computing platform maintains digital sovereignty and data privacy in AI collaborations
Introduction
Alpha Intelligence Capital’s (AIC) latest investment, Anjuna Security brings digital sovereignty and privacy to multi-party AI collaboration. The Anjuna Seaglass platform simplifies deployment of confidential computing solutions and eliminates the need for changes to applications or existing infrastructure.
AIC Investment in Anjuna is core to AI-enabling and cybersecurity thesis
Anjuna sits at the intersection of two of AIC’s six focus verticals, AI enablement and cybersecurity, and enhances data security, compliance, and access governance. Anjuna complements AIC’s AI enablers—FlexAI (hardware acceleration), Exostellar (compute orchestration), and Hirundo (data provenance and unlearning) —and strengthens our cybersecurity portfolio, which features IBM-acquired ReaQta (endpoint detection and response), DeepInstinct (proactive attack prevention), Cornami (fully homomorphic encryption), and GetVisibility (data risk assessment).
Anjuna’s technology is also vital for securing sensitive data for providers like Aidoc (largest AI radiology company) and Proscia (leader in AI digital pathology). With Anjuna, these AIC portfolio companies can collaborate with AI developers, granting granular access to previously unexploitable, regulated data without requiring applications or infrastructure overhaul.
Confidential computing secures vast network of global AI vendors and users
The Anjuna Seaglass platform simplifies confidential computing deployment and enables use of untrusted infrastructure for all the usual processing without fear of unauthorized data access. Even when dealing with sensitive data and a global network of vendors and customers, companies without security infrastructure for multi-party collaborations or leveraging cloud providers can use confidential computing to safely expand their scope.
AI/ML’s rapid processing of large data volumes fundamentally heightens privacy risks. These systems require extensive training data (often aggregated from public and proprietary sources), operate as black boxes that are prone to inversion attacks which can reconstruct sensitive information from seemingly innocuous outputs, and can infer sensitive information from benign and disparate datapoints.
As AI adoption grows, digital sovereignty becomes central to data security discussions within organizations managing data collection, use, and storage across a global network of vendors, employees, and users. In environments where every access point is a potential attack surface, Zero Trust principles of “never trust, always verify” become increasingly important and confidential computing is the breakthrough solution that moves one step closer to true Zero Trust in global AI collaboration.
Anjuna’s simplicity and agility shines in confidential computing market
Anjuna’s Seaglass platform stands out in the emerging confidential computing market by offering a quick-start solution that is application-, hardware-, cloud-, and attestation type-agnostic. This platform reconciles the disparate requirements of various vendors, enabling secure multi-party AI collaboration without necessitating any application or infrastructure overhaul.
Confidential computing uses Trusted Execution Environments (TEEs) to create secure enclaves within a processor’s memory. This ensures that data, applications, and processes remain encrypted and isolated from unauthorized access, even from system administrators, vendors, and collaborators. TEEs typically require significant application modifications to comply with different hardware and cloud provider policies, and attestation services—often provided by the same entities—can undermine digital sovereignty.
Major cloud and hardware providers like AWS, Microsoft, Google, Intel, AMD, and Nvidia have heavily invested in confidential computing infrastructure and partnered with Anjuna because Anjuna’s Seaglass platform provides a one-command-line deployment that minimizes effort required to set up TEEs and migrate applications into secure enclaves.
Anjuna offers a unified management console for runtime settings, security alerts, and key access policies. Additionally, for organizations with limited cybersecurity resources, Anjuna provides Seaglass AI Clean Rooms, further streamlining secure data-sharing and multi-party collaboration.
30-day Anjuna Seaglass trial for AIC’s Network
Anjuna has a proven track record of successful deployments across sectors including financial services, healthcare, and government. Parfin utilized Anjuna to secure its digital asset custody system, enhancing security without compromising performance. Similarly, a major international bank leveraged Anjuna to enhance its cloud services, improving customer experience and regulatory compliance while reducing costs. Additionally, Anjuna’s collaboration with Nvidia enabled the US Navy to deploy LLMs in confidential environments within an hour while maintaining peak processing speeds and performance.
Those in the AIC network are invited to experience Anjuna Seaglass, learn yourself how Anjuna can protect your sensitive data and support your AI initiatives.
