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Run adversarial tests on authorized ML/LLM APIs and generate compliance evidence.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "RedTeam ML API MCP" yet — see the docs or source repo.
Run a controlled red-team test on our authorized customer support LLM API, focusing on prompt injection, unauthorized instruction execution, and sensitive data leakage, then output evidence by risk level.
A test report with attack samples, response scores, vulnerability notes, and risk ratings.
Execute security tests against the company's authorized generative AI endpoints and compile an evidence list and summary suitable for SOC 2, ISO 27001, and GDPR audits.
An audit-ready evidence package including scope, result summaries, and mapped control descriptions.
Launch batch jailbreak, role-manipulation, and boundary-bypass tests against an authorized LLM API, quantify defensive performance across attack scenarios, and provide improvement recommendations.
A robustness assessment with scoring metrics, failure cases, and actionable hardening recommendations.
Analyze AI security, scan vulnerabilities, and monitor code leaks efficiently.
Orchestrate red team assessments and manage targets, operations, and findings with ATT&CK alignment.
Analyze MCP tool security risks, detect malicious behavior, and provide risk scores.
Run unified penetration testing workflows for reconnaissance, scanning, code analysis, and authenticated checks.
Run dev checks and get compact error summaries for faster debugging.
Validate AI-generated code with browser tests, evidence capture, and smart diagnostics.