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🔗 Use Case

Secure Multi-Agent Systems

Protect complex AI workflows where multiple agents collaborate, delegate tasks, and access external tools. Control the chaos.

The multi-agent challenge

When agents talk to agents, security gets exponentially harder

🔍

Research Agent

Web search & analysis
🎯

Orchestrator

Task coordination
💻

Code Agent

Code generation
🛡️

BladeRun

Security layer
📊

Data Agent

Database access
📧

Email Agent

Communications

Multi-agent threat vectors

New attack surfaces emerge when agents collaborate

🔄 Agent Hijacking

Compromising one agent to manipulate others. A poisoned research result can cascade through the entire system, affecting downstream agents.

🔗 Privilege Escalation

Agents inheriting or combining permissions inappropriately. A low-privilege agent manipulating a high-privilege one to perform unauthorized actions.

🌀 Infinite Loops

Agents stuck in recursive patterns, consuming resources and potentially amplifying harmful behaviors across the system.

🔧 Tool Abuse

Agents misusing external tools — making unauthorized API calls, accessing restricted databases, or executing dangerous code.

📡 Data Tunneling

Using agent-to-agent communication as a covert channel to exfiltrate sensitive data, bypassing traditional monitoring.

🎭 Impersonation

One agent pretending to be another to gain access or trust. Without proper authentication, agents can't verify peer identities.

How BladeRun protects multi-agent systems

Security controls for the agentic era

🔐

Agent Authentication

Verify agent identities and enforce trust boundaries between components in your system.

🚪

Permission Boundaries

Define what each agent can access and prevent privilege escalation across agent boundaries.

🔍

Inter-Agent Monitoring

Inspect all agent-to-agent communications for injection attacks and policy violations.

🔧

Tool Use Controls

Govern which tools agents can access and with what parameters. Block dangerous operations.

⏱️

Rate Limiting

Prevent runaway agents with configurable limits on actions, API calls, and resource consumption.

📊

Execution Tracing

Complete audit trail of agent actions, decisions, and data flows for forensics and debugging.

Works with your stack

Native integration with popular agent frameworks

LangChain

Agents & chains

CrewAI

Multi-agent teams

AutoGen

Conversational agents

Custom

Any framework via SDK

When things go wrong

Emergency controls for autonomous systems

Kill Switch for Agents

Multi-agent systems can spiral out of control fast. BladeRun's Kill Switch lets you instantly halt all agent activity across your entire infrastructure.

One click. 30 seconds. Every agent stopped. Full audit trail preserved for investigation.

Learn about Kill Switch

Secure your AI agents

Deploy multi-agent systems with confidence and control

Get started Learn about SDK