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SPECIFICTION
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AgentScan vs Giskard

AgentScan

agentscan.sh

Giskard

giskard.ai

Side by side

FigureAgentScanGiskard
Price from$29/moFree
Free planYesYes
Free trial——
Open source—Yes
WebYesYes
Linux—Yes
APIYesYes
Self-hosted—Yes
Plans published44
Spec score · AI Security Testing Tools8.4 (#7)8.6 (#5)
IntegrationsDocumented connection examples include OpenAI, Groq, LiteLLM, Dify, n8n, Flowise, OpenClaw, AutoGPT, and OpenHands.The earlier product description lists compatibility with Hugging Face, MLflow, Weights & Biases, PyTorch, TensorFlow and LangChain.
PurposeAgentScan provides automated pentesting for LLMs, RAG pipelines, and autonomous agents through an API.Giskard describes its platform as a way to find vulnerabilities in AI agents before they reach production.
SecurityThe privacy policy says passwords are hashed with Argon2id, API keys are stored as HMAC-SHA256 hashes, connections use TLS, and outbound requests have SSRF protection.Giskard states that it offers EU or US data residency and isolation, role-based access controls, audit trails, identity-provider integration, and a zero-training policy.
SupportThe Pro plan lists priority support, while Enterprise lists dedicated support, an SLA, and priority support.The Free plan includes community support and best-effort maintenance; the Enterprise plan lists dedicated support with SLAs and optional technical onboarding and consulting.

Plans

AgentScan

  • FreeFree
  • Starter$29 a month
  • Pro$99 a month
  • EnterprisePriced on request

AgentScan pricing →

Giskard

  • FreeFree
  • Open-sourceFree
  • EnterprisePriced on request
  • ProfessionalPriced on request

Giskard pricing →

In their own words

AgentScan

AgentScan provides automated security testing for LLMs, RAG pipelines, and autonomous agents through a cloud API and web dashboard. It tests attack patterns including prompt injection, data exfiltration, jailbreaks, and MCP attacks. The product describes 412 vectors across 19 categories, though the Free, Starter, and Pro plans provide smaller subsets. Scan reports include a 0–100 risk score, severity breakdown, remediation advice, and evidence export in JSON or PDF. The dashboard detects agent formats, tracks progress and errors, and lets users adjust throttling. The REST API queues scans, returns a scan ID, and supports completion webhooks. AgentScan maps vulnerabilities to OWASP LLM Top 10 risks and describes links to EU AI Act articles and NIST AI RMF functions; its OWASP mapping excludes Model Denial of Service and Model Theft. Free includes 5 scans per month; paid plans start at $29 a month. The terms restrict scans to agents the customer owns or has explicit written authorization to test.

Visit agentscan.sh

Giskard

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.

Visit giskard.ai