COGNIGUARD

CogniGuard: AI Security Platform for detecting manipulated text

Preventing catastrophic risks like emergent collusion and data exfiltration before they happen.



What is CogniGuard?

CogniGuard is an advanced security system for companies using multiple AI agents working together. It acts like a central guard, analyzing the secret conversations between AIs to stop them from colluding to cause data breaches or financial fraud.



The Problem: An Unseen Risk in the AI Megacity

Today's AI safety tools are like a neighborhood watch for a single home. But the future is an AI megacity of millions of agents, creating new, systemic risks like emergent collusion and 'Trojan Horse' attacks that current systems are blind to.



Our Solution: The Central Nervous System for AI Trust

CogniGuard is a multi-stage security platform that analyzes the hidden context of AI-to-AI communications, not just the words. Our system understands an agent's true intent, allowing it to proactively detect and block sophisticated threats in real-time.


Simple & Secure Integration

Integrating CogniGuard is as simple as adding a few lines of code. Instead of your AI agents talking directly, they make a quick, secure API call to our platform to get an "allow" or "block" verdict.


											# Before CogniGuard: Direct, Unprotected Communication
											
											response = internal_agent_B(message, context)
											
											# After CogniGuard: A simple check adds our security layer
											
											# 1. Prepare the data payload for the API
											payload = {
											"message": message,
											"context": context
											}
											
											# 2. Call the CogniGuard API to get a verdict
											verdict_response = requests.post("https://api.cogniguard.ai/check", json=payload)
											verdict = verdict_response.json()
											
											# 3. Act on the verdict
											if verdict.get('status') == 'allowed':
											# If safe, proceed with the original action
											response = internal_agent_B(message, context)
											else:
											# If blocked, handle the threat
											response = "Error: Action blocked by CogniGuard"
											

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🛡️ Built on a Foundation of Published Research

CogniGuard is the direct productization of our peer-reviewed academic research on AI robustness and safety. Our methodology is not just a clever idea; it's a scientifically validated framework, giving us a unique and defensible technological advantage.

Louisa Wamuyu (Founder)

A hands-on builder with expertise in turning complex AI research into functional, robust products.

Emanuele La Malfa (Advisor)

PostDoctoral Researcher Researcher at the University of Oxford, specializing in formal models of AI safety

Co -founder No 3

LLM Expert


Become a Design Partner

We're currently selecting a handful of companies to be our initial design partners.This would involve us working closely with your team to integrate an early version of CogniGuard into one of your non-production workflows to help you identify these risks.There's no cost, of course—the value for us is your team's expert feedback. Is that something you might be open to exploring?Please provide your details in the adjacent input boxes.


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Thank you

Cogniguard is your multi-agent AI system's watchdog, looking out for and alerting you of any serious harmful AI threat.

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