ARTEX
Coordinate AI penetration tests and review the evidence in one workspace
Find and manage security weaknesses in software applications.
Coordinate AI penetration tests and review the evidence in one workspace
Apply rules and human approvals to AI agent actions
Review a website’s external security with graded findings
Run a bug bounty program with researcher reports, initial triage, and rewards
Review website security findings and generate instructions for remediation
Connect security findings into testable attack paths and verify fixes
Review code security locally and trace findings into attack paths
AI-powered vulnerability discovery, prioritization, and verified remediation
Monitor MCP tools and stop unapproved changes
Controlled security updates for Python dependencies
Review AI skill repositories with layered security analysis
Inspect AI agent skills before installing them
Test and govern AI agents with runtime security controls
Check package installations against vulnerability advisories
Inspect AI coding traffic through a local security gateway
Validate AI responses against configurable safety policies
Verify security findings and prepare tested remediation changes
See your own public IP from the outside with a terminal security scan.
Coordinate authorized security assessments and review evidence-backed findings.
Inspect published security reports for ClawHub skills before adding them to an agent workflow.