AI Platform Providers

Build Secure Multi-Agent AI Systems

You're building the future of AI - autonomous agents that work together. But how do your agents know they're talking to each other and not an impersonator? MWRASP provides the missing identity layer for multi-agent AI systems.

The Multi-Agent Identity Problem

As AI platforms evolve from single agents to multi-agent systems, a critical security gap emerges: how do agents authenticate each other? Traditional methods fail because:

•API keys can be intercepted in agent-to-agent communication
•Malicious agents can join swarms with stolen credentials
•No standard exists for AI-to-AI identity verification
•Compromised agents can poison collective decision-making

The MWRASP Agent Identity Layer

Behavioral Proof-of-Agency (BPoA)

Each agent develops a unique behavioral fingerprint from its operational patterns. Identity that survives credential theft because it's based on HOW the agent behaves, not just what keys it holds.

Phantom Protocol

Ten novel covert channels let agents communicate through behavioral variance. External observers see "normal operation" while agents exchange authenticated messages.

Byzantine Fault Tolerance

Consensus protocols that maintain system integrity even when some agents are compromised. Detect and isolate malicious actors in real-time.

SDK Integration

Drop-in integration for Python and JavaScript agent frameworks. Memory-safe Rust cryptographic core with Python bindings. Works with LangChain, AutoGen, CrewAI, and custom agent architectures.

Platform Integration Scenarios

Agent Orchestration Platforms

Add behavioral authentication to your agent deployment infrastructure. Verify agent identity before granting access to tools and resources.

Multi-Agent Frameworks

Integrate BPoA into agent-to-agent communication. Ensure agents in collaborative workflows are authentic.

AI Marketplaces

Verify third-party agents before allowing them to interact with your platform or customer data.

Autonomous Systems

Mission-critical applications where agent identity must be continuously verified, not just at startup.

Quick Integration Example

# Python SDK Integration

from mwrasp import BPoAAgent, AgentNetwork

# Initialize agent with behavioral baseline
agent = BPoAAgent(
    agent_id="analyzer-001",
    capabilities=["threat_analysis", "data_processing"]
)

# Join authenticated agent network
network = AgentNetwork()
await network.register(agent)

# All subsequent communications are behaviorally authenticated
result = await agent.send_to("coordinator-001", {
    "task": "analyze_threat",
    "data": threat_data
})
# Recipient verifies sender's behavioral signature automatically

Add Identity to Your AI Platform

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