Giskard AI
Open Source
Open-source core
Enterprise-ready
AI security
LLM evaluation
Continuous testing
Proactive monitoring
Handle GenAI risks by finding vulnerabilities in AI agents before users do.
Last updated: Apr 15, 2026
FREEMIUM
giskard.ai
Quick Answer
Giskard AI is an automated platform for continuous red teaming and evaluation of LLM agents. It proactively detects security vulnerabilities like prompt injections and quality issues such as hallucinations, ensuring AI applications are production-ready. Best for developers, security teams, and enterprise AI leaders. Offers a free open-source library and an enterprise-grade platform with custom pricing.
About Giskard AI
Giskard AI is an automated testing platform for LLM agents, designed to proactively detect security vulnerabilities and quality issues like hallucinations. It offers both an open-source Python library for developers and an enterprise platform with advanced collaboration and continuous red teaming features. Giskard helps teams ensure their AI applications are production-ready and compliant.
What Makes It Unique
Giskard provides the largest test coverage for both security and quality vulnerabilities, offering domain-specific, automated scanning in a single platform. It focuses on proactive monitoring to catch and fix business failures during development, rather than relying on reactive post-deployment detection.
Use Cases & Target Users
Best For
Detecting security vulnerabilities in AI agents
Evaluating LLM agent quality and performance
Integrating AI testing into CI/CD pipelines
Ensuring compliance for AI applications
Collaborative red teaming for business and technical teams
Company Size
SOLO
SMALL
MEDIUM
ENTERPRISE
Fit Score
Complexity
INTERMEDIATE
Target Team Size
INDIVIDUAL
SMALL_TEAM
LARGE_TEAM
Target Skill Level
INTERMEDIATE
EXPERT
Key Features
Continuous Red Teaming for LLM agents
Automated LLM vulnerability scanning (50+ adversarial probes)
Domain-specific quality evaluation dataset generation
Fine-grained RAG quality metrics
Human-in-the-Loop dashboards for collaborative reviews
Python SDK for programmatic testing
Technical Specifications
API Available
SDK Available
MCP Compatible
Open Source
Apache-2.0
Team Features
SSO/Enterprise
Webhook Support
Has Demo
Deployment:
HYBRID
Compliance & Security
GDPR Compliant
SOC 2 Certified
Pros
- +Automated detection of critical vulnerabilities like hallucinations and prompt injections
- +Comprehensive test coverage with 50+ adversarial probes and regular updates
- +Supports hybrid deployment options including on-premise and private cloud
- +Offers enterprise-grade compliance (SOC 2 Type II, HIPAA, GDPR)
- +Facilitates team collaboration with visual dashboards and access controls
- +Open-source Python library available for basic testing and evaluation
Limitations
- -Open-source version has basic features, best-effort maintenance, and community support only
- -Enterprise features like advanced red teaming and dedicated support require a custom plan
- -Primarily focused on text-to-text conversational AI agents
- -No explicit mention of data export formats for test results or reports
- -Requires integration into existing development and deployment pipelines
Decision Intelligence
Best For
Detecting security vulnerabilities in AI agents
Evaluating LLM agent quality and performance
Integrating AI testing into CI/CD pipelines
Ensuring compliance for AI applications
Collaborative red teaming for business and technical teams
Not Ideal For
Users seeking a no-code AI development platform
Teams without existing LLM agents or AI models to test
Individuals needing only basic LLM interaction without security or quality concerns
Organizations looking for a general-purpose AI monitoring tool unrelated to agent testing
Frequently Asked Questions
Your Actions
Dimension Scores
Ease of Use6/10
Output Quality8/10
Value for Money7/10
Customization8/10
Support7/10
Integration8/10
Task Scores
Test Generation
9
Security Scanning
9
Context Understanding
8
Bug Detection
7
Documentation Generation
3
Code Completion
2
Code Explanation
2
Refactoring
2
Trust Score
70/100
Good
Based on 7 verified signals
Trust Signals
Verified CompanyGiskard AI
Notable CustomersAXA, Decathlon, Michelin +5
Funding$1.6M
Team Size11-50
GDPR CompliantYes
SOC 2 CertifiedYes
Data ResidencyUS, EU
Switching & Migration
Migration Difficulty
Moderate Effort
Community, Dedicated (Enterprise)
Quick Stats