Open-source scans require a separately configured LLM provider and API key.
The scan uses a model to generate attacks and judge agent responses; external provider calls may transmit agent descriptions and replies.
Evidence source ↗
Giskard
Giskard provides open-source Python tools and a commercial platform for evaluating AI agents and testing them for security vulnerabilities.
7 key claims verifiedOur editorial team checked this profile against company information, pricing information, product documentation. Supported by 4 documented sources.
Editorial overview
Aggregated Overview
The open-source library, Hub SDK, agent testing, and red-teaming functions are documented. Public enterprise pricing and sufficiently accessible independent reviews were not found; scores are editorial assessments, not user ratings or performance tests.
This profile combines documented product information and independent evidence where available. It is not a hands-on test unless TechZella explicitly identifies one.
Overview
Giskard combines a free, local Python library with a commercial Hub for AI agent evaluation and security testing. Its documented workflows include vulnerability scans, quality checks, datasets, and scheduled evaluations.
The Hub can test chat agents and structured JSON endpoints. This makes it relevant to teams testing conversational products as well as classifiers, extraction pipelines, and scoring services.
Giskard Decision Snapshot
A quick way to understand who this product may suit, where its limits matter, and which facts are most relevant before you compare alternatives.
Best suited to
AI engineering and security teams that need to test agent quality and probe for security failures during development or in collaborative Hub workflows.
Look elsewhere if
Teams seeking a publicly priced enterprise subscription, or teams unable to configure a Python environment and an LLM provider for open-source scans, may need another approach, and should evaluate alternatives such as LangSmith or Arize Phoenix instead.
Platforms
Cloud, On-premises, Private Cloud, Python, SaaS
TechZella assessment
7.2/10
Giskard — What Sets It Apart?
These are the product-specific differences that may matter when deciding whether the software fits your workflow. They are based on documented evidence rather than a universal ranking.
- The Hub supports both conversational agents and structured JSON endpoints, extending testing beyond chat-only applications.
- Hub scenarios can contain multiple interactions, with checks attached to individual turns.
- The open-source library can be used locally, while the commercial Hub adds collaboration, access controls, scheduled runs, and deployment choices.
Giskard Pros & Cons
Pros
- The free Python library supports local deployment.
- Hub 3.0 tests structured JSON APIs as well as chat agents.
- The Hub combines quality evaluation and security testing workflows.
- Professional deployment options include SaaS, private cloud, and on-premises.
Cons
- Professional pricing is not published online.
- Open-source scanning requires Python 3.12 or higher and a configured LLM provider.
- Configured LLM providers may receive agent descriptions and response data during scanning.
- Non-standard agent APIs may need a translation adapter.
Giskard Gotchas & Operational Limits
These are documented constraints or practical friction points that may matter before you adopt the product.
Hub connection settings, including rate limits and private certificate authority trust, are configured at installation time.
These settings apply across the deployment rather than being independently configured for each agent.
Evidence source ↗Giskard Pricing & Plans
Open-source
$0
Free Python library for local deployment; scans require a configured LLM provider.
Check current pricing →Professional
Contact sales
Commercial option for production AI agents; includes advanced scans, evaluations, collaboration, and deployment choices.
Check current pricing →Pricing may change. Verify current plans on the vendor's website.
Giskard Competitors & Alternatives
Compare similar products directly, then see which alternatives may make more sense when your requirements differ.
At a glance
Artificial Intelligence Software| Decision factor | Giskard | LangSmith | Arize Phoenix |
|---|---|---|---|
| Primary workflow | AI agent security red-teaming and quality evaluation, including multi-turn vulnerability probes. | Agent and LLM evaluation integrated with tracing, production monitoring, and prompt iteration. Source ↗ | Open-source tracing, evaluation, experimentation, and prompt iteration for AI applications. Source ↗ |
| Pricing model | Open-source option is free; Professional pricing is available by contacting the vendor. | Developer plan is free; Plus is listed at $39 per seat monthly plus usage, and Enterprise is custom-priced. Source ↗ | Phoenix is listed as open-source and self-hosted; Arize AX also has a free hosted tier and a $50 monthly Pro tier. Source ↗ |
| Deployment model | Professional Hub lists SaaS, private-cloud, and on-premises options. | LangSmith lists cloud plans and self-hosted or hybrid deployment options for Enterprise. Source ↗ | Phoenix supports self-hosting; Arize AX Enterprise is listed as SaaS or self-hosted. Source ↗ |
Only factors supported by the available research are shown. The comparison is descriptive, not a ranking.
Direct competitors
These products address broadly similar requirements. The descriptions focus on documented reasons a buyer might compare them with Giskard.
Giskard Features
Agent testing
- Chat and structured JSON agent configurations
- Multi-turn scenarios with checks on individual interactions
- Customizable evaluation checks
- Dataset generation and evaluation runs
Security testing
- Automated vulnerability scans
- Adversarial probes and multi-turn attacks in the Professional offering
- Reusable tests from detected vulnerabilities
Workflow and administration
- Python Hub SDK
- Scheduled evaluations
- SSO and role-based access controls in the Professional offering
- Versioning with audit trails in the Professional offering
- CI/CD integration with SDK in the Professional offering
Demo & Screenshots
Giskard Specifications
| Open-source runtime | Python 3.12 or higher for vulnerability scans |
|---|---|
| Agent connection | HTTP API endpoint using Chat or Structured request and response formats |
| Hosting options | Local, SaaS, private cloud, or on-premises, depending on offering |
| Model provider | OpenAI, Anthropic, Google, or LiteLLM-supported models for open-source scans |
| Enterprise pricing | Not publicly listed |
Deployment & System Footprint
Verified installation, hosting, administration, or environment details that can affect implementation.
| Open-source installation | Local Python package installation; vulnerability scans require Python 3.12 or higher. Source ↗ |
|---|---|
| Hub hosting | Professional deployment options are listed as on-premises, private cloud, or SaaS. Source ↗ |
Migration & Lock-In
Documented portability, standards, export, or switching considerations. No switching-cost score is shown unless the evidence supports one.
Hub SDK migration
The SDK documentation says Hub v2 users can use the SDK with Hub v3 with little change; it also points to a migration guide for breaking changes.
Evidence source ↗Dataset portability
Hub release notes document importing Giskard OSS scenario JSON datasets; JSON and JSONL are the supported knowledge-base import and export formats in the documented Hub release notes.
Evidence source ↗Our evidence-based assessment
TechZella Score
A proprietary editorial score based on product capabilities, usability, value, performance, support and user sentiment evidence.
7.2/10Low confidence
The open-source library, Hub SDK, agent testing, and red-teaming functions are documented. Public enterprise pricing and sufficiently accessible independent reviews were not found; scores are editorial assessments, not user ratings or performance tests.
Methodology v1.0. The assessment weighs feature coverage (25%), ease of use (15%), value for money (20%), performance (15%), support (10%) and user sentiment (15%), using researched product evidence and verified review evidence where available. It is a TechZella editorial assessment, not a direct user-review average.
Editorial transparency
Our Review Methodology
Key claims are linked to the sources used to verify them. This evidence record is separate from third-party user ratings.
TechZella evaluates software using documented product capabilities, pricing information, usability and value considerations, independent user evidence where available, and competitive context. The assessment is an editorial review, not a hands-on test unless one is explicitly identified. Our editorial assessment is based on 4 documented sources.
What TechZella adds
- The Hub supports both conversational agents and structured JSON endpoints, extending testing beyond chat-only applications.
- Hub scenarios can contain multiple interactions, with checks attached to individual turns.
- The open-source library can be used locally, while the commercial Hub adds collaboration, access controls, scheduled runs, and deployment choices.
Important limitations
- The vendor lists no numeric price for its Professional offering; buyers must contact Giskard.
- Open-source vulnerability scanning requires Python 3.12 or higher and a configured LLM provider.
- The open-source scan sends agent descriptions and replies to the configured LLM provider, which may receive customer or internal data present in those replies.
- The Hub may require a translation adapter when an agent API does not match its Chat or Structured request and response formats.
Evidence-backed claimsGiskard was founded in 2021. The open-source scan package requires Python 3.12 or higher and an LLM provider configuration. The Giskard Hub can test structured JSON endpoints as well as chat agents. The Hub v3 release describes 21 built-in checks and a customizable LLM Judge check. The vendor lists open-source and Professional offerings, with no numeric Professional price shown on its pricing page. Giskard lists SaaS, private-cloud, and on-premises Hub deployment options. The open-source scan sends agent descriptions and replies to the configured model provider.
The company history identifies 2021 as its founding year.
View source ↗Verified 2026-11-12The installation documentation states both requirements and describes provider configuration.
View source ↗Verified 2026-11-12Hub 3.0 release notes describe Structured mode, JSON schemas, and testing classifiers, extraction pipelines, and scoring APIs.
View source ↗Verified 2026-11-12The release notes list both additions and require Hub upgrade before SDK upgrade.
View source ↗Verified 2026-11-12The pricing page presents the open-source features and directs Professional buyers to contact the company.
View source ↗Verified 2026-11-12The Professional pricing page names these deployment options.
View source ↗Verified 2026-11-12The installation documentation explicitly describes these provider calls and their possible data contents.
View source ↗Verified 2026-11-12Giskard FAQs
Answers begin with the clearest available response, followed by the context that helps you act on it.
Is Giskard free?
Yes. Its open-source Python library is presented as free. The commercial Professional offering has no published numeric price.
Does Giskard offer a free trial of its enterprise platform?
Yes. Giskard documentation invites users to request a free enterprise trial.
Can Giskard test APIs that are not chatbots?
Yes. Hub Structured mode supports endpoints described with JSON request and response schemas.
Does Giskard require an LLM provider for open-source scans?
Yes. The scan requires a configured provider and API key to generate attacks and assess responses.
Where can the Giskard Hub be deployed?
The vendor lists SaaS, private-cloud, and on-premises deployment options for Professional.
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