Confident AI vs RedLens AI
Confident AI
confident-ai.comRedLens AI
redlens.aiSide by side
| Figure | Confident AI | RedLens AI |
|---|---|---|
| Price from | $200/mo | $199/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 4 | 5 |
| Spec score · AI Red Teaming Tools | 8.4 (#5) | 7.8 (#13) |
Plans
Confident AI
- FreeFree
- Starter$200 a month
- Team$2,000 a month
- EnterprisePriced on request
RedLens AI
- FreeFree
- Team$199 a month
- Developer$799 a month
- Professional$8,000 a month
- EnterprisePrice not published
In their own words
Confident AI
Confident AI is an AI quality platform for evaluating applications during development and monitoring them in production. Teams can experiment with prompts, models, and parameters, run automated regression evaluations in CI/CD, and assess results with more than 50 metrics. Production tracing records inputs, outputs, latency, tokens, and execution spans, while live alerts indicate declining quality. Red-team testing addresses safety vulnerabilities and adversarial attacks. The platform supports Python and TypeScript SDKs, OpenTelemetry, and more than 20 framework and gateway integrations. APIs cover prompt versioning, dataset creation, trace ingestion, project provisioning, and governance policies. It is available through web and API access, or can be self-hosted in AWS, Azure, or GCP using Docker; setup typically takes 1–2 weeks. The free plan includes two seats, one project, five weekly test runs, and 1 GB-month of trace spans. Paid plans start at $200 a month.
RedLens AI
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.