Giskard vs RedLens AI

Giskard provides tools for assessing AI agents before production, with coverage for prompt injection, data disclosure, inappropriate content, hallucinations, contradictions, and omissions. Its Hub performs black-box testing of conversational text-to-text agents available through an API endpoint. An assessment produces a structured report with a deploy-or-fix verdict, ranked vulnerabilities, and functional scenarios; passing agents receive a Giskard Label. Giskard describes a remediation process in which its team qualifies findings, discusses severity, prioritizes issues, opens workflow tickets, and reruns tests to check fixes. Enterprise evaluation options include adversarial probes, domain-specific datasets, RAG quality metrics, customizable metrics, and human review interfaces. Deployment choices include on-premise, private cloud, and SaaS. Giskard lists EU or US data residency, access controls, audit trails, identity-provider integration, encryption, and a zero-training policy, alongside GDPR, SOC 2 Type II, and HIPAA compliance. The free plan includes a local open-source library, basic vulnerability scanning and RAG evaluation, community support, and best-effort maintenance.

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.