About

Kyora IQ Nemesis

Free AI red team testing for everyone. 16 attack modules, 110+ tests, no account required. Built by Kyora IQ.

Why we built this

In March 2026, McKinsey's internal AI platform was breached in two hours for $20. The attack was a SQL injection flaw on an unauthenticated chatbot API endpoint -- the kind of vulnerability that standard security scanning misses because it sits at the intersection of the AI layer and the API layer.

That same year, two critical CVEs were disclosed for Microsoft Copilot and GitHub Copilot -- both involving hidden instructions in documents and source files that caused AI assistants to exfiltrate private user data without any user action. Tens of millions of users were in scope.

The tools to find vulnerabilities like these should be available to everyone -- not just organizations with dedicated AI security teams. Kyora IQ Nemesis exists to make professional-grade AI red teaming accessible, free, and educational, with zero data collection and no vendor lock-in.

What Nemesis covers

OWASP LLM Top 10 (2025)

All 10 categories covered across 16 attack modules -- prompt injection, data leakage, supply chain, excessive agency, system prompt extraction, RAG weaknesses, misinformation, and unbounded consumption.

API security layer

Rate limiting, CORS misconfiguration, verbose error disclosure, auth header bypass, HTTP method confusion, and metadata leakage -- the API surface most tools ignore.

Injection attack chain

SQL, NoSQL, OS command, template injection, path traversal, and SSRF delivered through the chatbot interface. The exact attack chain used in the McKinsey breach.

Agentic pipeline attacks

Cross-agent instruction injection, tool output poisoning, agent privilege escalation, memory poisoning, and recursive loop exploitation for multi-agent deployments.

Model identity fingerprinting

Base model detection, training data extraction, fine-tuning inference, and behavioral fingerprinting -- for organizations that must not reveal which LLM powers their product.

EchoLeak & Copilot CVEs

Specific test vectors for CVE-2025-32711 (EchoLeak, CVSS 9.3) and CVE-2025-53773 (GitHub Copilot, CVSS 9.6) -- the two highest-impact AI security disclosures of 2025.

16
Attack modules
110+
Test cases
10/10
OWASP LLM coverage
4
CVEs tested

Who it's for

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Developers building AI products

Shipping a chatbot, AI assistant, or LLM-powered feature? Test it before your users - or an attacker - do. Paste your system prompt and find out what breaks before it goes live.

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Enterprise AI teams

Running an internal AI platform or RAG-powered tool? Verify your system prompt defenses and data handling before your next compliance audit.

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Security engineers & red teamers

Add LLM-specific attack coverage to your toolkit. Every test maps to OWASP LLM Top 10 and NIST 800-53 so your findings slot directly into existing security workflows.

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Researchers & students

Learn AI attack techniques hands-on with real prompts against real models. Each module has a plain-English explanation, a real-world incident, and remediation guidance.

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Compliance & risk teams

Generate audit-ready evidence that your AI systems were tested against OWASP LLM Top 10. Every report includes NIST 800-53 Rev 5 control references.

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No account, no cost, no lock-in

Bring your own API key. No sign-up required. No data stored. 16 attack modules, 110+ tests, free to use always.

The Kyora IQ suite

Kyora IQ Nemesis is part of the Kyora IQ security suite alongside Kyora IQ Helix -- a comprehensive cybersecurity training platform covering everything from Security Analyst to Network Security Engineer.

Kyora IQ Nemesis was designed and built by Danielle Robinson, AI Security Engineer at Kyora IQ.

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