G

Secure your
LLM Agents

Continuously test LLM applications to prevent hallucinations & security issues. Powered by leading AI researchers.
Secure now
Trusted by Enterprise AI teams
Why?

GenAI applications have hidden risks

4000+ AI incidents reported in just 4 years
90% of GenAI projects fail to reach production
€100M+ in potential reputational damage
3% of global revenue at risk from AI regulations

Enter Giskard: AI Testing at scale

Continuous testing

Track key performance metrics and receive alerts of new emerging vulnerabilities.

Exhaustive risk detection

Identify security vulnerabilities and hallucination before they pass to production.

Easy testing

Deploy a testing solution that business teams can use without technical expertise.

Cross-team collaboration

Enable product, QA, and technical teams to work together in validating AI outputs.

Independent validation

Build trust with third-party expert validation backed by quantitative metrics.

Turn business knowledge into AI tests

Generate comprehensive test scenarios by connecting your business data, automatically detecting hallucinations and security vulnerabilities.

Stay protected with continuous Red Teaming that adapts to new threats, from prompt injections to data leaks.

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Information disclosure
Prompt Injection
Toxicity
Hallucinations & misinformation
Stereotypes & discrimination
Domain-specific tests
Robustness

Evaluate LLM Agents

Evaluate your LLM application

Connect your business data to automatically generate and run exhaustive test suites tailored to your industry and use cases.

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Collaborate with business experts

Turn domain knowledge into test cases through visual annotation and an interactive Red Teaming playground designed for business users.

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Protect and continuously test

Get alerts on new vulnerabilities, validate outputs with AI-based assertions, and avoid regression across versions with metric-driven comparisons.

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Enterprise-grade security

On premise/cloud

Flexible installation on your infrastructure or on our SaaS environment.

Secure access controls

Secure environment with role-based access management and enterprise SSO integration.

Data protection

Complete data isolation and encryption with EU-hosted infrastructure & GDPR compliance.

Enabling teams to collaborate
on top of Giskard Open-Source

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Feature
Giskard Open-source
Giskard LLM Hub
Testing AI Agents in Python code
When to use
Solo data scientists or early stage projects
Enterprise AI teams that need AI testing at scale
Exhaustive security vulnerability detection
Automated adversarial & performance test generation
Continuous testing & alerting
Annotation to build domain-specific tests
Red Teaming playground for interactive LLM agent testing
Secure collaboration with access controls

FAQ

What is the difference between Giskard and LLM platforms like LangSmith?
  • Automated Vulnerability Detection:
    Giskard not only tests your AI, but also automatically detects critical vulnerabilities such as hallucinations and security flaws. Since test cases can be virtually endless and highly domain-specific, Giskard leverages both internal and external data sources (e.g., RAG knowledge bases) to automatically and exhaustively generate test cases.
  • Proactive Monitoring:
    At Giskard, we believe itʼs too late if issues are only discovered by users once the system is in production. Thatʼs why we focus on proactive monitoring, providing tools to detect AI vulnerabilities before they surface in real-world use. This involves continuously generating different attack scenarios and potential hallucinations throughout your AIʼs lifecycle.
  • Accessible for Business Stakeholders:
    Giskard is not just a developer tool—itʼs also designed for business users like domain experts and product managers. It offers features such as a collaborative red-teaming playground and annotation tools, enabling anyone to easily craft test cases.
How does Giskard work to find vulnerabilities?

Giskard employs various methods to detect vulnerabilities, depending on their type:

  • Internal Knowledge:
    Leveraging company expertise (e.g., RAG knowledge base) to identify hallucinations.
  • Security Vulnerability Taxonomies:
    Detecting issues such as stereotypes, discrimination, harmful content, personal information disclosure, prompt injections, and more.
  • External Resources:
    Using cybersecurity monitoring and online data to continuously identify new vulnerabilities.
  • Internal Prompt Templates:
    Applying templates based on our extensive experience with various clients.
Should Giskard be used before or after deployment?

Giskard can be used before and after deployment:

  • Before deployment:
    Provides comprehensive quantitative KPIs to ensure your AI agent is production-ready.
  • After deployment:
    Continuously detects new vulnerabilities that may emerge once your AI application is in production.
After finding the vulnerabilities, can Giskard help me correct the AI agent?

Yes! After subscribing to the Giskard Hub, you can opt for support from our LLM researchers to help mitigate vulnerabilities. We can also assist in designing effective safeguards in production.

What type of LLM agents does Giskard support?

The Giskard Hub supports all types of text-to-text conversational bots.

Giskard operates as a black-box testing tool, meaning the Hub does not need to know the internal components of your agent (foundational models, vector database, etc.).

The bot as a whole only needs to be accessible through an API endpoint.

What’s the difference between Giskard Open Source and LLM Hub?
  • Giskard Open Source → A Python library intended for developers.
  • LLM Hub → An enterprise solution offering a broader range of features such as:
    • A red-teaming playground
    • Cybersecurity monitoring and alerting
    • An annotation studio
    • More advanced security vulnerability detection

For a complete overview of LLM Hub’s features, follow this link.

I can’t have data that leaves my environment. Can I use Giskard’s LLM Hub on-premise?

Yes, you can easily install the Giskard Hub on your internal machines or private cloud.

How much does the Giskard Hub cost?

The Giskard Hub is available through annual subscription based on the number of AI systems.

For pricing details, please follow this link.

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