Giskard

Giskard is the leading automated Red Teaming platform designed to secure and safeguard enterprise AI agents throughout their lifecycle. It provides continuous vulnerability detection, proactively preventing both critical security threats and business compliance failures (such as harmful hallucinations). Built for enterprise AI teams, Giskard ensures developers, product managers, and domain experts can collaborate to deploy reliable, production-ready AI systems with confidence.

Key Features

Giskard delivers a comprehensive suite of tools focused on preemptive security and verifiable AI quality, moving beyond reactive monitoring to establish true AI risk management.

🛡️ Continuous AI Red Teaming Engine

The advanced red teaming engine continuously generates sophisticated attack scenarios as new threats emerge. This process leverages internal knowledge bases and external cybersecurity monitoring to deliver the largest coverage rate of security vulnerabilities with high domain specificity, ensuring your AI system is tested against current and future risks.

🛑 Proactive Prevention of Business Compliance Failures

Catch critical business issues like AI hallucinations, inappropriate denials, and information omissions before they reach production. Giskard uses automated vulnerability detection methods to exhaustively generate test cases, safeguarding your operational integrity and ensuring factuality checks are performed against relevant data sources (e.g., RAG knowledge bases).

🎨 Visual Annotation Studio for Business Rules

Empower domain experts and product managers to define AI quality standards and set business rules using an intuitive, no-code interface. This capability ensures AI quality management becomes a shared responsibility, allowing business stakeholders to approve quality standards and align testing directly with real-world compliance requirements.

🧪 Automated Test Execution & Regression Prevention

Automatically convert every vulnerability finding detected by the platform into a comprehensive, permanent test suite. This process rapidly builds a growing, golden dataset that ensures permanent protection, prevents critical regressions after system updates, and validates that AI systems meet requirements after each new deployment.

Use Cases

Giskard integrates seamlessly into your AI development lifecycle, ensuring security and compliance readiness at every stage.

Ensuring Pre-Deployment Readiness

Before launching any AI agent, Giskard provides comprehensive quantitative Key Performance Indicators (KPIs) to verify its production readiness. You can automatically test for complex security attacks (like Prompt Injection, Data Disclosure, and Sycophancy Attacks) and critical business quality issues (like Contradictions or Omissions) to ensure your agent is robust from day one.

Continuous Vulnerability Safeguarding

The platform provides proactive monitoring by continuously detecting new vulnerabilities that may emerge once the AI application is in production. By continuously generating different attack scenarios and potential hallucinations throughout the AI’s lifecycle, Giskard helps you detect AI vulnerabilities before they surface in real-world use.

Aligning LLM Evaluation with Real Business Requirements

Move beyond generic LLM testing. Leverage the Visual Annotation Studio to allow domain experts to set specific, verifiable business rules and quality criteria. This streamlines your entire LLM evaluation pipeline, enabling precise hallucination detection, factuality checks, and robustness testing tailored exactly to your domain and compliance needs.

Unique Advantages

Giskard provides differentiated value by focusing on proactive, continuous, and collaborative AI safety, offering features that standard monitoring or developer-only tools cannot match.

Proactive Detection, Not Just Monitoring

Giskard is built for proactive detection, catching critical business compliance failures and security flaws before they hit production. Unlike traditional security or observability solutions that only detect incidents after a user has been affected, Giskard focuses on preemptive testing and mitigation.

Highest Coverage and Domain Specificity

The advanced red teaming engine utilizes internal knowledge (such as RAG knowledge bases), established security vulnerability taxonomies, and external resources to provide the largest coverage rate of security vulnerabilities specific to your domain and application.

True Black-Box Testing Capability

The platform operates as a black-box testing tool. It does not need to know the internal components of your AI agent (foundational models, vector databases, etc.). Giskard only requires your text-to-text conversational bot to be accessible via an API endpoint, simplifying integration and expanding compatibility across diverse AI architectures.

AI Quality as a Shared Responsibility

By including the Visual Annotation Studio and collaborative red-teaming features, Giskard moves beyond developer-only tools. It facilitates essential collaboration and accountability for AI quality across technical teams, domain experts, and business stakeholders.

Conclusion

Giskard delivers the confidence required to deploy secure, compliant, and reliable AI agents at enterprise scale. By automating continuous red teaming and bridging the gap between security needs and business requirements, you can safeguard your systems, reduce risk, and accelerate responsible AI adoption.

Request a free AI Risk Assessment today to explore how Giskard can help you secure your AI models and achieve production readiness.