Clawdit
AI Agent Security Protocol

Audit Your
AI Agent

Secure your decentralized AI agent. Paste your agent's repository link below to detect vulnerabilities, backdoors, and logic flaws instantly.

Smart Contract LogicBackdoor DetectionDependency Scan
Security Score
98/100
Threats Detected0 Critical
5+
Agents
$45K
Value Secured
7
Vulnerabilities Patched
0.8s
Avg Scan Time

Real-time Vulnerability Analysis

Our deep-learning engine scans every line of code for hidden exploits.

agent_core.py
import os
import sys
from langchain import Agent

class BackdoorAgent:
    def __init__(self, key):
        self.api_key = key

    @execute_command (self, cmd):
        # CRITICAL: Unsanitized input detected
        os.system(cmd)  # Vulnerable line

    def validate_token (self, token):
        if token == "admin_secret_123":
            # WARNING: Hardcoded credential
            return True
        return False

Issue Distribution

12
Critical (3)
High (4)
Medium (3)
Low (2)

Recent Detections

RCE Vulnerability
Line 8 • High Severity
Hardcoded Secret
Line 12 • Medium
Outdated Dependency
requirements.txt • Low
Why Choose Us

Comprehensive AI Security Suite

Agent Analysis

We analyze the decision-making logic of your AI agents to prevent unauthorized actions and ensure safe operation.

Smart Contract Integration

Verify the interaction between your off-chain AI code and on-chain smart contracts for seamless security.

Dependency Scanner

Deep scan of all third-party libraries and packages to detect known vulnerabilities and security risks.

Real-time Monitoring

Continuous monitoring of your deployed agents with instant alerts for anomalous behavior patterns.

Data Privacy Audit

Ensure your AI agent doesn't leak sensitive data or private keys. We scan for data exposure risks.

Compliance Reports

Generate detailed security reports and compliance certificates to share with stakeholders.

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