Cloud Data Security & Privacy Preserving AI

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. Anjuna abstracts the complexity of creating and managing TEEs so developers don't have to interact with low-level hardware APIs directly.

How does Anjuna encrypt data in all three states?

Most security solutions protect data at rest (stored on disk) and in transit (moving across a network), 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.

What is cryptographic attestation and why does it matter?

Attestation is the process of cryptographically verifying that a piece of code is exactly what it claims to be, running in a genuine hardware enclave, before any secrets are released to it. Anjuna's policy-based attestation manager orchestrates this process, so applications can establish a verified chain of trust before they're allowed to boot or access sensitive data.

How does Anjuna secure agentic AI workloads specifically?

Autonomous AI agents present a unique threat surface: they operate with privileged access to data and tools, making them susceptible to memory poisoning, tool misuse, and identity spoofing. Anjuna runs agents inside TEEs and enforces runtime policies that govern what actions an agent is permitted to take, effectively providing a hardware-rooted supervisory layer that the agent itself cannot override.

What is an AI Data Fusion Clean Room?

Anjuna Northstar implements a secure, isolated environment where multiple parties can contribute proprietary data and AI models for collaborative processing without any party being able to see the other's raw inputs. The computation happens inside an enclave, so each side's intellectual property and sensitive data remain protected even during joint AI training or inference.