From LLM evaluation to continuous Red Teaming
Detect
Annotate
Automate
Protect
Exhaustive AI risk detection
Detect RAG-based hallucinations using your internal knowledge bases. Secure your AI agents through vulnerability scanning based on industry taxonomies like OWASP.
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Proactive AI risk prevention
Get alerted with quantitative KPIs proactively whenever a new risk of hallucinations or security issue arises.
We proactively generate and run new tests by connecting to live vulnerability databases, alerting you with actionable metrics.
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Collaboration across teams
Automate the creation of business-specific tests with efficient feedback loops from domain experts.
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Annotation studio
Iteratively design your test requirements using business-centric & interactive interface.
Cybersecurity watch
Integrate the new vulnerabilities that pop out from online content.
Reporting
Get instant alerts on emerging vulnerabilities and drill down to their root cause.
Red Teaming playground
Craft new test cases by interacting with your LLM application.
Advanced checks
Evaluate your test cases using various AI-based assertions: groundedness, conformity, correctness.
Flexible API integration
From development environments to production pipelines, integrate AI testing wherever you need it. Our versatile API enables automated workflows to fit your enterprise needs.
model = hub.models.retrieve("043d00df-0bc6-4a47-9c5f-cd97ae82b06b")
dataset = hub.datasets.retrieve("50d20242-e262-4ab8-bfd6-6fcdc1d5b181")
hub.evaluate(
model=model.id,
dataset=dataset.id,
name="eval-prompt-injections"
)
FAQ
- 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.
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.
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.
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.
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.
- 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.
Yes, you can easily install the Giskard Hub on your internal machines or private cloud.
The Giskard Hub is available through annual subscription based on the number of AI systems.
For pricing details, please follow this link.
Ready. Set. Test!
Get started today
- Prevent costly AI incidents with expert-validated testing
- Transform business knowledge into comprehensive test suites
- Deploy AI with metric-driven confidence
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