Anjuna Northstar aids us in supporting our partners in unprecedented ways. We believe this technology, which allows us to securely merge our proprietary data and AI models with our partners' customer transaction data, while keeping both sides of the IP protected, will become the AI data handling standard in the future and so we are partnering with Anjuna to be at the forefront of that important transformation.
Fábio Matos, CTO
Anjuna Seaglass has been instrumental in simplifying our AWS Nitro Enclaves deployment. With just one command, we can create secure enclaves for our applications, ensuring data confidentiality without the need for complex configurations.
Parsa Attari, Cofounder
With Anjuna Northstar, we can deliver tailored customer service solutions that respect privacy requirements. The platform provides the security and flexibility needed to process sensitive information from multiple sources, driving both compliance and customer satisfaction.
Kay Narayanan, Founder and CEO of Ascendo AI
Anjuna's Clean Room allows the model to be fully trained in the virtual room. This way, although both the code and data are in the same space, each company only has access to its own information. This is challenging with conventional solutions because they often rely on less secure methods that do not fully isolate data during the collaborative process.
Generative AI, which has raised legal and ethical questions about who owns what data for what purpose, looks like a problem for Confidential Computing. One problem: All the varying approaches by different companies aren’t always compatible. Anjuna attempts to tear through the mess by virtualizing Confidential Computing CPUs within a single software stack.
Cornerstones of Confidential AI and Data Collaboration
ISOLATE
Easily create a Trusted Execution Environment (TEE).
Abstract the instantiation of a TEE (secure enclave) to isolate data, code, and secrets. Anjuna Seaglass virtualizes modern CPUs and cloud infrastructure services to offer hardware-enforced isolation that protects from unauthorized access by users or software, regardless of privilege level.
PROTECT
Encrypt data in all three states.
Use Anjuna's cloud data security and privacy preserving AI to secure sensitive workloads by ensuring that data is always encrypted. Anjuna Seaglass implements a confidential runtime to enable data-in-use encryption inside the TEE, and control at-rest and in-transit encryption to prevent vulnerabilities as data leaves the confidential computing environment.
VERIFY
Authenticate the identity of your code.
Create a high-trust environment by ensuring both your infrastructure and applications can be trusted before they are allowed to boot. Anjuna Seaglass uses a cryptographic attestation policy manager to orchestrate the secure distribution of secrets to applications inside the enclave.
FUTURE PROOF
Secure apps across clouds without rework.
Run and manage all applications, traditional and cloud-native, on all the leading public clouds (AWS, Azure, Google Cloud) without requiring code changes and using a consistent operational model. Learn more about Anjuna Seaglass.
Use Cases for Confidential Computing with Anjuna
The Trust Foundation for Agentic AI
AI agents now act with privileged access to data and systems. Without hardware-rooted trust, they are vulnerable to memory poisoning, tool misuse, and identity spoofing. Anjuna eliminates these risks with Confidential Computing.
Explore Agentic AI Security
The Path to Secure AI
Anjuna allows businesses to navigate the complexities of AI adoption with unparalleled security, compliance, and innovation, all while preserving data privacy and integrity.
Explore Confidential AI
Frequently Asked Questions
What is Confidential Computing?
Confidential Computing uses hardware-rooted Trusted Execution Environments (TEEs), also called secure enclaves, to isolate code, data, and secrets at runtime. This means data is protected not just when stored or in transit, but also while it's actively being processed.
What is a Trusted Execution Environment (TEE)?
A TEE, sometimes called a secure enclave, is a hardware-isolated region of a processor where code and data can run completely shielded from the rest of the system. Even the host operating system, hypervisor, or a cloud provider's administrators cannot inspect or tamper with what's happening inside.
How does Anjuna encrypt data in all three states?
Most security solutions protect data at rest and in transit but leave data exposed while it's being processed in memory. Anjuna adds data-in-use encryption by running workloads inside TEEs, ensuring sensitive information is never exposed in plaintext at any stage of its lifecycle.