Zero-Trust Execution Boundaries & Runtime Authorization for AI Agents
Boundrix provides runtime authorization and deterministic execution boundaries for autonomous AI agents. By intercepting tool and API calls before execution, Boundrix enforces task-specific least privilege, prevents credential exfiltration, and contains indirect prompt injection.
Prompt injection changes what an agent believes it should do. Runtime authorization constrains what the agent is actually allowed to do.
Enterprise Capabilities
- Task-Based Authorization: Scopes agent permissions strictly to the active delegated task objective and expires automatically.
- Deterministic Tool Sandboxing: Evaluates tool actions against strict parameter allowlists before execution.
- Real-Time Mid-Task Revocation: Halts rogue or drifting execution on the next tool call without terminating developer sessions.
- Automated Secret Masking: Scrubs personal access tokens and cloud credentials from all recorded flight logs.
Security Research & Architecture Articles
-
AI Agent Least Privilege: Why Traditional IAM Fails for Autonomous Coding Agents
How to implement least-privilege authorization for autonomous AI coding agents that dynamically discover what actions to take. -
Can Prompt Injection Affect AI Coding Agents? The Threat of Indirect Payloads in Repositories
Why prompt defenses cannot act as security boundaries when agents ingest untrusted code, issues, and PR comments. -
Are LLM Guardrails Enough for AI Agents? Sandboxing vs. Output Classifiers
Why probabilistic token classifiers fail in multi-step execution loops and why deterministic boundaries are necessary. -
How to Secure Model Context Protocol (MCP) Tools: Gateways and Access Control
Closing the confused-deputy authorization gap in Anthropic's open tool integration standard. -
What Happens If an AI Agent Goes Rogue? Mid-Task Revocation Without Crashing Your IDE
Why long-running autonomous tasks require real-time authorization state invalidation. -
How to Secure Claude Code and Autonomous Agents: An Enterprise CISO Governance Guide
A practical framework for adopting Claude Code, Cursor, Windsurf, and Devin without compromising secrets or compliance.
Frequently Asked Questions (FAQ)
What is Boundrix?
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.
What is runtime authorization for AI agents?
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.
How does Boundrix differ from RBAC?
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.
How does Boundrix handle agent delegation?
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.
Can Boundrix revoke an agent’s authority?
Yes. Boundrix supports real-time mid-task revocation. When a task is revoked, any subsequent tool call attempted by the agent is immediately rejected.
Does Boundrix work with GitHub?
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.
Does Boundrix run inside the customer VPC?
Yes. Boundrix is designed for in-VPC deployment via SDKs and lightweight container sidecars, keeping all policy decisions and source code within customer infrastructure.
How does Boundrix differ from prompt guardrails?
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.