Giskard
Claim this toolProactive AI red teaming and LLM security platform to prevent vulnerabilities in production.
Visit WebsiteFreemiumVisit Website
Tracked since2026
0 reviews trackedThe Bottom Line
Entry price
Free plan available, paid tiers above
Biggest pro
Detects a wide range of AI vulnerabilities, including security and quality issues.
Biggest con
Primarily supports conversational AI agents in text-to-text mode, limiting applicability for other AI types.
TL;DR - Giskard
- Proactively tests AI agents for security vulnerabilities and quality issues.
- Provides continuous red teaming and LLM evaluation with automated test generation.
- Unifies testing across business, engineering, and security teams with collaborative dashboards.
Pricing: Free plan available
Best for: Growing teams
What is Giskard?
Giskard is an AI red teaming and LLM security platform designed to test AI agents for vulnerabilities before and after deployment. It helps organizations catch issues like sycophancy attacks, prompt injections, data disclosures, and inappropriate content generation, which can pose significant risks to data and reputation. The platform also addresses quality issues such as inappropriate denials, contradictions, hallucinations, and omissions that can lead to poor user experiences.
Giskard is built for business, engineering, and security teams to unify testing efforts. It provides continuous testing capabilities, automatically generating sophisticated attack scenarios and converting discovered vulnerabilities into permanent test suites to prevent regressions. The platform supports conversational AI agents in text-to-text mode and operates as a black-box testing tool, requiring only an API endpoint for integration. It offers robust security features including data residency, granular access controls, and compliance with GDPR, SOC 2 Type II, and HIPAA, making it suitable for regulated industries.
Available on: Web
Pros & Cons
Pros
- Detects a wide range of AI vulnerabilities, including security and quality issues.
- Offers proactive testing before deployment and continuous monitoring post-deployment.
- Facilitates collaboration between technical and non-technical teams.
- Provides robust data security and compliance features for regulated industries.
- Automatically generates and enriches test datasets to prevent regressions.
Cons
- Primarily supports conversational AI agents in text-to-text mode, limiting applicability for other AI types.
- Pricing details for the Giskard Hub (enterprise tier) are not publicly available.
- Requires an API endpoint for the AI agent to be accessible for testing.
Preview
Key Features
Continuous red teaming engineAutomated vulnerability detection (security and quality)Dynamic and multi-turn attack generationContext-aware attack generation using internal business dataIntegration with external threat databases (e.g., OWASP)Human-in-the-Loop dashboards for collaborative test reviewAutomated conversion of vulnerabilities into reproducible test suitesPython SDK for programmatic test execution
Pricing
Freemium
Giskard offers a generous free tier with optional paid upgrades for advanced features.
Reviews
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Giskard FAQ
How does Giskard help prevent AI-related risks in production?
Giskard proactively tests AI agents for vulnerabilities like sycophancy attacks, prompt injections, and data disclosures before and after deployment. It also identifies quality issues such as hallucinations and inappropriate content generation, which helps safeguard data and reputation.
Which teams benefit most from using Giskard?
Giskard is designed for business, engineering, and security teams to unify their AI testing efforts. It facilitates collaboration and ensures that both technical and non-technical stakeholders can contribute to and understand AI security and quality.
How does Giskard compare to Semgrep for identifying vulnerabilities?
Giskard specializes in detecting a wide range of AI vulnerabilities, including security and quality issues specific to conversational AI agents. Semgrep, on the other hand, is a static analysis tool primarily focused on finding bugs and security issues in source code.
What kind of AI agents can Giskard test?
Giskard primarily supports conversational AI agents operating in text-to-text mode. It functions as a black-box testing tool, requiring only an API endpoint for the AI agent to be accessible for testing.
What are the main limitations of Giskard?
Giskard's primary limitation is its focus on conversational AI agents in text-to-text mode, which may limit its applicability for other types of AI. Additionally, it requires an API endpoint for the AI agent to be accessible for testing.
How is Giskard priced?
Giskard offers a free tier for users to get started, with paid plans available that provide more usage and advanced features. Pricing details for the enterprise-level Giskard Hub are not publicly disclosed.
Can Giskard integrate with existing development workflows?
Yes, Giskard is built to integrate into existing workflows by requiring only an API endpoint for the AI agent. It provides continuous testing capabilities and converts discovered vulnerabilities into permanent test suites to prevent regressions.
Source: giskard.ai