DeepTeam vs RedLens AI

DeepTeam is an open-source Python framework for red teaming large language model systems. It offers more than 50 ready-to-use vulnerability checks covering bias, toxicity, personal-information leakage, prompt leakage, and security risks. Simulated attacks include jailbreaks, prompt injection, automated evasion, data extraction, and response manipulation. Vulnerability-specific LLM-as-a-Judge metrics return a binary score with reasoning. Supported reference frameworks include OWASP, NIST AI RMF, MITRE ATLAS, the EU AI Act, BeaverTails, and Aegis. Listed model providers include OpenAI, Claude, Gemini, Azure OpenAI, AWS Bedrock, Vertex AI, Mistral, LiteLLM, and Portkey. CI/CD listings include GitHub Actions, GitLab CI, Jenkins, CircleCI, Buildkite, and Azure Pipelines. Installation uses pip in a Python virtual environment, and attacks are dynamically simulated without a prepared dataset. Results can be saved locally or sent to Confident AI for centralized viewing and production red teaming through a UI. The framework is Apache 2.0 licensed and supports self-hosted or API use.

RedLens AI runs automated adversarial attacks against production AI systems and maps findings to controls used in security audits. It is aimed at healthcare, law enforcement and regulated enterprise organizations deploying AI. Its Master Attack Schema v2.0 covers six attack categories and 22 methodologies, with findings scored by CVSS. Each assessment produces a PDF containing a risk score, vulnerabilities, remediation steps and mappings to frameworks including HIPAA, NIST AI RMF, OWASP GenAI Top 10, MITRE ATLAS, ISO/IEC 42001, FBI CJIS Security Policy and AIUC-1. The mappings are evidence, not certification. Retests can run daily or weekly to detect drift, and critical findings can trigger logged email alerts. A Python CLI and GitHub Action support CI/CD scans with severity gates and SARIF output; findings can stream to listed SIEM services or an HMAC-signed webhook. Deployment options include hosted SaaS and Enterprise self-hosted Docker. In the self-hosted package, stored data stays in the customer's Postgres, but attack generation and judging still call Anthropic's API using the customer's key. The Free plan includes 25 hosted scans monthly; paid plans start at $199.00 per month, while Developer starts at $799.00 per month.