Because AI safety shouldn't be centralized
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The First crypto-native AI security network.
Without effective guardrails, AI generates falsehoods, amplifies bias, leaks sensitive information, and exposes users to manipulation. As deployment accelerates across critical domains, the absence of safety infrastructure creates real and compounding risks. Guardrails provide the necessary control layer to ensure AI remains aligned, accountable, and safe at scale.
Filtering harmful content (e.g., hate, violence, discrimination)
Defending against prompt injection
Monitoring output consistency
Enabling user feedback and response loops
Ensuring auditable and reversible model behavior
Core Features for White-hats
Drop your AI models into a decentralized battle zone. Simulate real-world attacks like data poisoning or prompt injection attacks. Get back a security report and earn a certified on-chain badge.
AI developers, enterprises, or Web3 projects post security testing tasks. Find bugs, submit fixes, and earn $HACK—automatically rewarded, transparently recorded on-chain.
A decentralized AI security database aggregating attack cases and solutions from the global white-hat community. Users earn rewards by contributing knowledge, with the vault maintained through community governance.
HackAI Guardrail API
Verifiable Safety Infrastructure for Open AI
HackAI modularizes AI safety mechanisms and leverages Web3 to collect high-quality adversarial data, building trustworthy API services.
What it does?
Content filtering, prompt defense, hallucination check
How it works?
Recall Model + multi-round validation + on-chain logging
Why it matters?
Composable, transparent, and decentralized alignment layer for AI
HackAI is a multi-agent AI security Network that rewards the global white-hat community to stress-test and secure AI models. Whether you're a developer, researcher, or hacker—this is your playground.
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