Early Access Evaluation
We work with enterprise DevSecOps and AI platform engineering teams to deploy in-VPC sidecars, custom task policies, and SOC 2 / HIPAA audit mappings.
Contact: saslabs.corp@gmail.com
Deploy runtime authorization for your AI coding agents with direct engineering support from SASLabs.
We work with enterprise DevSecOps and AI platform engineering teams to deploy in-VPC sidecars, custom task policies, and SOC 2 / HIPAA audit mappings.
Contact: saslabs.corp@gmail.com
Boundrix is a runtime authorization and audit layer for autonomous AI agents developed by SASLabs. It enforces task-scoped execution boundaries so AI agents can complete their tasks without exceeding their delegated authority.
Runtime authorization is the process of evaluating whether an autonomous AI agent is permitted to perform a specific action at the point of execution, using the agent's identity, delegated task, execution context, and current authorization state.
Role-Based Access Control (RBAC) grants broad, standing permissions to an identity. Boundrix evaluates task-scoped authority at runtime, checking whether a specific action is admissible for the active delegated task right now.
Boundrix creates a tamper-proof delegation lineage that links the human principal, the delegating agent, downstream sub-agents, and the task scope to ensure authority attenuates monotonically across multi-agent chains.
Yes. Boundrix supports real-time mid-task revocation. When a task is revoked, any subsequent tool call attempted by the agent is immediately rejected.
Yes. Boundrix's flagship initial use case secures AI coding agents interacting with GitHub, scoping actions to assigned repositories and branches while blocking destructive actions and credential exfiltration.
Yes. Boundrix is designed for in-VPC deployment via SDKs and lightweight container sidecars, keeping all policy decisions and source code within customer infrastructure.
Prompt guardrails filter probabilistic text inputs and outputs. Boundrix enforces deterministic execution boundaries at the API and tool layer, ensuring unauthorized actions are blocked regardless of LLM reasoning or prompt injection.