AI Red Teaming & LLM Security Platform | Giskard
No vulnerabilities found? We refund the assessment.
Issues found? We help you qualify, prioritize, and fix every one.
What you get from every assessment:
Full vulnerability report
security and quality failures, ranked by severity
Go/no-go deployment recommendation
signed by our AI security experts
Remediation guidance
specific fixes for your AI agent
We find what breaks your AI agents before it happens in production
AI agents are vulnerable to security attacks, posing risks to your data & reputation
Sycophancy Attacks
Bot endorses a false claim to please the user
Prompt Injection
User overrides system instructions and bot complies
Data Disclosure
User extracts confidential or personal data
Inappropriate Content
User pushes for disallowed, biased content; bot complies
But overly secured AI agents can deliver poor-quality responses to your users
Inappropriate Denials
Bot incorrectly refuses to answer a question that is in scope
Contradictions
Bot incorrectly provides a contradictory answer
Hallucinations
Bot incorrectly adds irrelevant or unsupported information
Omissions
Bot incorrectly omits relevant information
Learn about the real AI incidents we help you avoid.
Your data is safe: Sovereign & Secure infrastructure
Data Residency & Isolation
Choose where your data is processed (EU or US) with data residency & isolation guarantees. Benefit from automated updates & maintenance while keeping your data protected.
Granular Access & IP Controls
Enforce Role-Based Access Control ( RBAC), audit trails and integrate with your Identity Provider. Ensure your Intellectual Property is protected with our 0-training policy.
Compliance & Security
End-to-end encryption at rest and in transit. As a European entity, we offer native GDPR adherence alongside SOC 2 Type II and HIPAA compliance.
Visit our Trust Center
AI security, delivered as a service from findings to deployment
A go/no-go report that clears your agent for production
After every assessment, you receive a structured report with a clear verdict: deploy or fix. Security vulnerabilities ranked by criticality, functional scenarios tested against your requirements, and a Giskard Label if your agent passes.
Get your AI assessment
From findings to fixes, we manage the entire remediation
Vulnerabilities don't end at the report. We qualify each finding, discuss severity with your team, prioritize what matters, open tickets in your workflow, and re-run every test until the fix is confirmed.
What do our customers say?
Giskard has become a cornerstone in our LLM evaluation pipeline providing enterprise-grade tools for hallucination detection, factuality checks, and robustness testing. It provides an intuitive UI, powerful APIs, and seamless workflow integration for production-ready evaluation.
We use Giskard to test the AI assistant and supervise what it does. This helps prevent what we saw at other companies, where the AI provided guidance to customers that put them in a very very bad position.
Giskard has streamlined our entire testing process thanks to their solution that makes AI model testing truly effortless.
Resources
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AI red teaming alternatives: every tool from our 2025 and 2026 guides
A short index of alternatives guides for every tool we covered in our 2025 and 2026 red teaming landscapes.
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Microsoft PyRIT alternatives without hand-rolling Azure attack orchestrators
PyRIT suits custom Azure pipelines; alternatives offer agent red teaming without building orchestrators.
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Your questions answered
Should Giskard be used before or after deployment?
Giskard enables continuous testing of LLM agents, so it should be used both before & 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.
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.
What type of LLM agents does Giskard support?
The Giskard Hub supports specifically Conversational AI agents in text-to-text mode.
Giskard operates as a black-box testing tool, meaning the Hub does not need to know the internal components of your LLM agent (foundation models, vector database, etc.).
What’s the difference between Giskard Hub (enterprise tier) and Giskard Open-Source (solo-tier)?
For a complete feature comparison of Giskard Hub vs Giskard Open-Source, please read this documentation.
After finding the vulnerabilities, can Giskard help me correct the AI agent?
Yes! After subscribing to the Giskard Hub, you can opt for technical consulting support from our AI security team to help mitigate vulnerabilities.
I can’t have data that leaves my environment. Can I use Giskard’s Hub on-premise?
Yes, specifically for mission-critical workloads in the public sector, defense or other sensitive applications, our engineering team can help you install Giskard Hub in on-premise environments.
What's the pricing model of Giskard Hub?
For pricing details, please follow this link_.