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Continuous
red teaming
Industry's largest coverage rate
Aligned with leading AI Security & Quality Standards
Experts on hallucinations detection
Find out more industry specific examples in RealPerformance
How Continuous Red Teaming works
Dynamic & multi-turn attacks
We generate attacks using an AI red teamer that interacts with your agent and adapts based on your bot's responses rather than using static, predefined tests.
Context-aware attacks
We use internal business context (PDFs, knowledge bases, websites, etc.) to generate targeted attacks specific to your use case and operational scope.
Integrate threat coverage
Our platform combines external threat databases (OWASP) and open-source security datasets to ensure comprehensive attack coverage.
Research leaders in AI security & safety
We're research partners with Google DeepMind on Phare, a multilingual benchmark evaluating LLMs across key safety & security dimensions, including hallucination, factual accuracy, bias, and potential harm
Research and funding partners:
Creators of the 1st AI Red Teaming course
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Your questions answered
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 Giskard Hub?
- Giskard Open Source → A Python library intended for developers.
- Giskard 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 Giskard Hub’s features, follow this link.
I can’t have data that leaves my environment. Can I use Giskard’s 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.
