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🔗 Use Case

Secure Multi-Agent Systems

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

Works with all agent frameworks

Native integrations with popular multi-agent orchestration tools

LangChain

Agents & Chains

CrewAI

Role-based agents

AutoGen

Microsoft framework

LlamaIndex

Data agents

Semantic Kernel

Microsoft SDK

Haystack

Pipelines

OpenAI Assistants

Function calling

Custom

Any architecture

Multi-agent security challenges

Complexity multiplies risk at every interaction

🔄 Agent-to-Agent Attacks

Compromised agents can manipulate other agents in the system, spreading malicious behavior across your entire workflow.

🔧 Tool Abuse

Agents with tool access can be tricked into executing dangerous operations like file deletion, API calls, or data exfiltration.

🎭 Role Hijacking

Attackers manipulating agent personas to gain elevated privileges or bypass access controls within your system.

⛓️ Chain Confusion

Injections that exploit multi-step workflows, with payloads that only activate after passing through multiple agents.

🔓 Context Leakage

Sensitive data from one agent's context bleeding into another agent's responses or decisions.

💥 Cascading Failures

A single compromised agent causing system-wide failures as errors propagate through dependent agents.

Security at every layer

BladeRun monitors and protects all agent interactions

Orchestrator

Task coordinator

↓ Protected by BladeRun ↓

Research Agent

Web search

Analysis Agent

Data processing

Writing Agent

Content creation

↓ Protected by BladeRun ↓

🔍 Search API

External tool

🗄️ Database

Internal data

📧 Email API

External tool

Multi-agent security features

Comprehensive protection for complex AI systems

🔄

Inter-Agent Filtering

Scan and filter messages between agents to prevent attack propagation.

🔧

Tool Call Validation

Validate and authorize every tool invocation before execution.

👤

Role Enforcement

Ensure agents stay within their defined roles and permissions.

📊

Workflow Monitoring

Real-time visibility into multi-agent task execution and data flow.

🔒

Context Isolation

Prevent sensitive data from leaking between agent contexts.

📝

Full Audit Trail

Complete logging of all agent interactions, decisions, and tool calls.

Kill Switch for Multi-Agent Systems

When an agent goes rogue or a workflow spirals out of control, BladeRun's Kill Switch instantly halts all agent activity across your entire system. One click stops every agent, every tool call, every interaction — in under 30 seconds.

Learn about Kill Switch

Secure your multi-agent systems

Deploy complex AI workflows with confidence

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