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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.
Automate red-teaming and reliability audits for AI agents through MCP.
Automate recon, scanning, exploit research, and pentest reporting with a local LLM.
Analyze AI security, scan vulnerabilities, and monitor code leaks efficiently.
Audit MCP configs for exposed access, secrets, models, and compliance AI-BOMs.
Orchestrate red team assessments and manage targets, operations, and findings with ATT&CK alignment.
MCP tool for compliance automation, PII scanning, and audit tracking.