Giskard - Security Testing Tool

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Giskard

Automated platform for continuous testing and securing of LLM agents to prevent AI failures.

Founded by: Alex Combessiein 2021

You can use Giskard to proactively identify and mitigate vulnerabilities in your AI agents before deployment. For Data Scientists and Machine Learning Engineers, it offers automated red teaming to detect hallucinations and security flaws, ensuring model robustness. AI Research Scientists benefit from comprehensive evaluations that align with compliance standards. Software Engineers and CTOs can integrate Giskard into development pipelines for continuous monitoring, while Product Managers and Compliance Managers appreciate its role in maintaining product integrity and regulatory adherence. IT Security Specialists and QA Engineers utilize Giskard to enforce security protocols and quality benchmarks, and Business Analysts leverage its insights to inform strategic decisions.

Integrations

Google Drive, Microsoft Teams

Use Cases

Proactively identify and mitigate AI agent vulnerabilities before deployment
Ensure compliance with industry standards and regulations for AI applications
Integrate continuous AI quality testing into development pipelines
Collaborate across teams to review and approve AI test cases
Monitor AI agents for hallucinations and security flaws in real-time
Automate the generation of test suites from detected vulnerabilities

Standout Features

Automated red teaming engine for continuous AI vulnerability detection
Comprehensive test coverage for both security and quality vulnerabilities
Human-in-the-loop dashboards for collaborative test review and approval
Integration with development pipelines for proactive quality testing
Granular access controls and compliance with GDPR, SOC 2 Type II, and HIPAA
Data residency options with processing in EU or US

Tasks it helps with

Set up automated red teaming for AI agents
Conduct continuous monitoring of AI models for security vulnerabilities
Review and approve AI test cases collaboratively
Integrate Giskard into existing development workflows
Generate and manage test datasets for AI evaluation
Analyze AI model performance against compliance benchmarks

Who is it for?

Data Scientist, Machine Learning Engineer, AI Research Scientist, Software Engineer, CTO, Product Manager, Compliance Manager, IT Security Specialist, Quality Assurance (QA) Engineer, Business Analyst

Overall Web Sentiment

People love it

Time to value

Quick Setup (< 1 hour)
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