- Service Name
Giskard
- Industry
Technology, AI, Software Testing, AI Compliance
- Main Value Proposition
Giskard provides a comprehensive platform for testing AI systems, ensuring they are secure, compliant, and of high quality before deployment.
- Description
Giskard is a testing platform designed for AI systems, enabling enterprises to manage AI risks effectively. It ensures the quality, security, and compliance of various AI models, including LLMs and tabular ML models.
- Key Features
Exhaustive risk detection for security vulnerabilities and hallucinations; Continuous testing with performance metrics tracking; User-friendly testing solution for non-technical teams; Cross-team collaboration for validating AI outputs
- Use Cases
Giskard is most valuable for enterprises needing to test AI applications for security flaws, compliance with regulations, and ensuring quality before deployment.
- Competitive advantages
Proactive monitoring to identify vulnerabilities before production; Integration of business knowledge into test scenarios; Support for both on-premise and cloud installations with robust security features
- Strengths
Giskard's strengths lie in its exhaustive testing capabilities, user-friendly interface, and the ability to facilitate collaboration across different teams within an organization.
- Positioning
Giskard positions itself as a holistic platform for AI testing, focusing on quality, security, and compliance across various AI models.
- Audience
The target users include enterprise AI teams, product managers, and domain experts who require a reliable testing solution for AI systems.
- CTA
BOOK A DEMO
- Tags
AI Testing
Security
Compliance
Quality Assurance
- Tagline
Secure your LLM Agents
- Tone of Voice
Professional, Trustworthy, Collaborative
- Differentiation
Giskard uniquely combines automated vulnerability detection with a focus on collaboration among business stakeholders, making it accessible for both technical and non-technical users.
- Brand Positioning
Giskard identifies itself as a trusted partner in the AI space, emphasizing its European roots and commitment to privacy and security.
- Founded
2021-09-06
- Founders
Alex Combessie
Andrey Avtomonov
Jean-Marie John-Mathews