Giskard

Categories: Cybersecurity, Coding & Developer Tools, Data Analysis | Pricing: Freemium | Official Website ↗

Giskard is an AI red teaming and LLM security platform that identifies vulnerabilities in AI agents before they reach production.

Giskard provides an enterprise-grade platform for continuous red teaming and LLM evaluation, designed to secure and improve AI agents. It helps detect various GenAI risks such as sycophancy attacks, prompt injections, data disclosure, and inappropriate content, as well as quality issues like inappropriate denials, contradictions, hallucinations, and omissions. The platform offers a comprehensive suite of tools for automated vulnerability detection, proactive monitoring, and collaborative testing across business, engineering, and security teams. The platform's red teaming engine continuously generates sophisticated attack scenarios and converts discovered vulnerabilities into reproducible test suites to prevent regressions. Giskard supports conversational AI agents in text-to-text mode and operates as a black-box testing tool, requiring only an API endpoint for the bot. It offers sovereign and secure infrastructure with data residency and isolation options, granular access controls, and compliance with GDPR, SOC 2 Type II, and HIPAA.

Key Features

Continuous AI red teaming
LLM evaluation
AI guardrails
Automated vulnerability detection
Domain-specific hallucination detection
Security vulnerability taxonomies
Human-in-the-Loop dashboards
Automated test suite generation

Pros

Automatically detects critical vulnerabilities like hallucinations and security flaws.
Provides proactive monitoring to catch issues before production deployment.
Offers extensive test coverage for both security and quality vulnerabilities.
Designed for collaboration across business, engineering, and security teams.
Supports hybrid deployment options including on-premise/private cloud.
Ensures data privacy and compliance with GDPR, SOC 2, and HIPAA.

Cons

Pricing for the Enterprise plan is not publicly disclosed.
Focuses specifically on conversational AI agents in text-to-text mode.
Requires an API endpoint for the bot to be accessible.
Free plan is limited to basic LLM vulnerability scans and RAG evaluation.
Consulting for agent corrections is an additional service option.

Use Cases

Detecting prompt injections and data disclosures in AI agents
Preventing hallucinations and inappropriate content generation
Ensuring AI agent quality and robustness before and after deployment
Establishing continuous testing pipelines for LLM applications
Achieving compliance with AI security frameworks and regulations

Best For

Enterprise AI leaders
AI security experts
Engineering teams
Business stakeholders
Organizations with strict compliance requirements

Integrations: CI/CD integration, Identity Provider

Platforms: Web

Watch demo on YouTube ↗

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