
Proactive AI red teaming and LLM security platform to prevent vulnerabilities in production.
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Giskard offers a generous free tier with optional paid upgrades for advanced features.
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Giskard's red teaming engine operates beyond the network layer, specifically targeting domain-specific hallucinations and over-zealous moderation that standard tools miss. It uses dynamic, multi-turn, and context-aware attacks, leveraging internal business context and external threat databases to generate highly specific test scenarios, ensuring comprehensive coverage of both security and quality vulnerabilities.
Yes, Giskard Hub can be installed in on-premise environments. This option is available for mission-critical workloads in sectors like public service or defense, where data cannot leave the local environment. Technical consulting support is provided by the Giskard engineering team for such installations.
Giskard Hub (enterprise tier) offers advanced features like automated vulnerability detection, proactive monitoring, and accessibility for business stakeholders through collaborative red-teaming playgrounds and annotation tools. While Giskard Open-Source provides a solo-tier solution, the Hub is designed for enterprise-grade needs with more extensive capabilities for continuous testing and team collaboration. A detailed feature comparison is available in their documentation.
Giskard provides an intuitive UI and collaborative Human-in-the-Loop dashboards that allow business experts, such as domain specialists and product managers, to review, customize, and approve tests. They can add policies, establish ground truths, qualify failures with tags, and collaborate on test cases, effectively transforming business knowledge into actionable tests.
Yes, Giskard offers technical consulting support from its AI security team to help mitigate vulnerabilities found in AI agents. This service is available to Giskard Hub subscribers and includes assistance in designing and implementing effective guardrails in production environments.
Source: giskard.ai