Crucible vs Giskard

Crucible is a self-hosted security scanner for testing AI agents before production. It checks attack behavior such as prompt injection, goal hijacking, jailbreaks, unsafe output, and tool misuse. Instead of reviewing generated text alone, it evaluates tool calls, side effects, and outcomes. The site lists 11 modules and 153 attack vectors, covering eight of ten OWASP Agentic risks, with two in development. Crucible runs 90 attack payloads in under 60 seconds and produces an A–F report with severity, OWASP mapping, and reproduction steps. It supports LangChain, CrewAI, AutoGen, raw MCP endpoints, and agents with HTTP or MCP interfaces. The pip-installed CLI supports Python 3.10+. Local scanning needs no signup and has no telemetry by default. Community is free; Team and Enterprise add monitoring, dashboards, support, SSO, audit logs, deployment options, and custom modules.

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.