LangGraph, AutoGen, CrewAI give you orchestration. They don't give you governance.
QuilrAI watches every agent-to-agent call, every tool invocation, every data access, and enforces scope automatically. You're orchestrating multiple AI agents. Every handoff is a potential attack surface.
Agent frameworks handle orchestration logic. They were never designed to enforce security boundaries between agents.
Agent A asks Agent B for help. Agent B calls 10 tools. None of those tools were in your original policy. You find out 3 weeks later.
One agent handles PII. Another handles external APIs. Without governance, PII travels to places it was never supposed to reach.
An orchestrator agent inherits permissions from every sub-agent it spawns. Before long, it has access to everything.
Guardian policies attach to individual agents, not the system as a whole. One compromised agent can't take down the rest.
Each agent in your network gets its own Guardian policy. Agent A can only call what Agent A is permitted to call, regardless of who asked.
QuilrAI tracks data sensitivity labels across agent handoffs. PII that enters Agent A can't exit through Agent B without redaction.
When one agent spawns another, the child gets a subset of the parent's permissions, never more.
Guardian walks you through the critical choices for your agent network, and enforces them at runtime.
What Guardian setup looks like for your multi-agent system:
Allow cross-agent communication?
Agents: researcher → writer → reviewer
Allow agent spawning?
Scoped to: child gets subset of parent permissions
Data sensitivity: PII [likely], Internal IP [likely]
QuilrAI integrates at the agent boundary, no changes to your orchestration framework required.
From registration to runtime protection, without rewriting your orchestration layer.
Describe each agent's role and purpose. QuilrAI understands the graph before it runs.
Scope, data flows, and permissions are set per agent, not per system.
Every handoff monitored, every violation blocked. Zero changes to your orchestration code.
See how Guardian handles agent-to-agent communication, scope isolation, and data flow tracking in an interactive walkthrough.
See how Guardian handles agent networksCommon Questions
Privilege escalation in multi-agent systems occurs when a sub-agent is granted permissions that exceed what the orchestrating agent was authorized to delegate. For example, a researcher agent delegating database write access to a writer agent when the researcher itself only had read access. QuilrAI enforces permission boundaries at every delegation hop.
QuilrAI assigns a Guardian Agent to each AI agent in a multi-agent system. When Agent A delegates a task to Agent B, QuilrAI intercepts the handoff, verifies that the delegated permissions don't exceed Agent A's own scope, and blocks unauthorized capability expansion before it reaches Agent B.
Yes, prompt injection payloads embedded in documents, web pages, or tool outputs can propagate through multi-agent chains as each agent passes context to the next. QuilrAI scans all inter-agent messages for injection patterns and sanitizes payloads before they reach downstream agents.