Secure Agent Execution

Agentic Science

A secure sandbox orchestration layer that gives autonomous agents full computational capabilities under strict user boundaries.

SynapseX Agents

Autonomous reasoning agents engineered to formulate physical solutions. They analyze research data, coordinate quantum optimization schedules, interact with local scripts, and manage remote QPU execution cycles.

Expectation optimization via VQE parameter tuning
Iterative feedback loop dispatching tasks to QPUs

SynapseX IDE

The local desktop environment client. It installs directly on the researcher's PC, running agent loops locally to guarantee maximum security, prevent IP leakage, and integrate physical security keys.

Runs entirely offline using local models
Direct Azure Key Vault secret injection on-device

Technical Security Architecture

Explore how SynapseX guarantees privacy and data control during automated scientific tasks.

Docker SandboxesLocal PGLiteAccio Credentials

Isolated Containerized Execution

Every computational step proposed by an agent is isolated inside standard Docker virtual sandboxes. The agent can write python algorithms or execute shell commands without affecting the underlying host machine, preventing unauthorized system changes.

container://science-agent-3942RUNNING
$ python compile_optimization.py
> Constructing cost graph...
> Injecting parameters...
> Local simulation complete. Latency: 4.8ms
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