Govern the handoffs your orchestration framework misses
LangGraph, AutoGen, CrewAI give you orchestration. They don't give you governance.
You're orchestrating multiple AI agents. Every handoff is a potential attack surface. QuilrAI watches every agent-to-agent call, every tool invocation, every data access, and enforces scope automatically.
What goes wrong at runtime
Agent frameworks handle orchestration logic. They were never designed to enforce security boundaries between agents.
Scope creep across 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.
Cross-agent data leakage
One agent handles PII. Another handles external APIs. Without governance, PII travels to places it was never supposed to reach.
Privilege escalation
An orchestrator agent inherits permissions from every sub-agent it spawns. Before long, it has access to everything.
Scope isolation. Data tracking. Least privilege.
Guardian policies attach to individual agents, not the system as a whole. One compromised agent can't take down the rest.
Scope isolation per agent
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.
Data flow tracking
QuilrAI tracks data sensitivity labels across agent handoffs. PII that enters Agent A can't exit through Agent B without redaction.
Least-privilege spawning
When one agent spawns another, the child gets a subset of the parent's permissions, never more.
Governance decisions, not just configuration
Guardian walks you through the critical choices for your agent network, and enforces them at runtime.
- Approved
Allow cross-agent communication?
Agents: researcher → writer → reviewer
- Approved
Allow agent spawning?
Scoped to: child gets subset of parent permissions
- Redact on cross-agent transfer
Data sensitivity: PII [likely], Internal IP [likely]
Works with the orchestration stack you already use
QuilrAI integrates at the agent boundary, no changes to your orchestration framework required.
Three steps to a governed agent network
From registration to runtime protection, without rewriting your orchestration layer.
Register your agent network
Describe each agent's role and purpose. QuilrAI understands the graph before it runs.
Guardian maps the graph
Scope, data flows, and permissions are set per agent, not per system.
Ship governed
Every handoff monitored, every violation blocked. Zero changes to your orchestration code.
Multi-agent security, answered
What is privilege escalation in multi-agent AI systems?
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.
How does QuilrAI govern agent-to-agent delegation?
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.
Can prompt injection travel through multi-agent chains?
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.
Every handoff monitored. Every violation blocked.
Ready to govern your agent network? See how Guardian handles agent-to-agent communication, scope isolation, and data flow tracking in an interactive walkthrough.