Giskard AI: Prevent AI Failures, Don’t React to Them

What Giskard AI Does

AI agents can fail in costly ways—from chatbots insulting customers or making false promises, to assistants leaking sensitive data through prompt injection. Such failures carry serious consequences: reputational harm, legal liability, compliance infringements, and even fines of up to 3% of global revenue under regulations.

Giskard enables organizations to safely deploy conversational AI by proactively identifying risks that could impact security or business quality. Its dynamic LLM vulnerability scanner tests AI across dozens of scenarios, helping organizations avoid costly incidents while ensuring safer, more reliable, and trustworthy interactions for end users.

The Current AI Landscape and Giskard AI's Role

The generative AI market is on a fast track to explosive growth, with some analysts, like Bloomberg, projecting it could reach a staggering $1.3 trillion by 2032. A critical and non-negotiable part of this growth is AI testing, which represents a substantial multi-billion dollar opportunity. Giskard is perfectly positioned to become a market leader and gain significant share by addressing this essential need.

As AI agents rapidly proliferate, so does the "attack surface," which traditional testing methods are ill-equipped to handle. Vulnerabilities like prompt injection, adversarial attacks, hallucinations, and data leakage pose serious risks for organizations deploying AI at scale. These issues can result in significant regulatory fines, reputational damage, and a loss of customer trust. The market is ready for a solution that can keep up with the fast-paced evolution of AI while ensuring security and business reliability. Giskard provides exactly that.

The Giskard AI Birth Story

In 2021, after years of building AI systems in finance, manufacturing, and healthcare, co-founders Alex Combessie and Jean-Marie John-Mathews recognized a persistent challenge: AI projects were failing. The issue wasn't the technology itself, but the difficulty of guaranteeing the reliability of AI systems in production. Workflows lacked robustness, and existing testing tools for data scientists were subpar.

Seeing this clear gap in the market, they set out to create a new category of testing tools that would make AI systems more robust and reliable. This insight led to the creation of Giskard. They built the product patiently, guided by curiosity and collaboration, and worked closely with early adopters to ensure they got it right. The company's mascot, the marine turtle, symbolizes this steady and thoughtful approach.

Over the years, Giskard has earned the confidence of both public and private investors. It's funded by notable private and public entities including EIC Accelerator, Bpifrance, Elaia, Bessemer, and the CTO of Hugging Face, among others.

The Giskard AI Solution

Giskard provides the first continuous red-teaming platform for conversational AI agents. Unlike static or one-off evaluations, it continuously probes models for emerging vulnerabilities. This ensures security against adaptive, multi-turn attacks, which represent a growing threat to deployed systems. Its adaptive red teaming engine escalates attacks intelligently, probing gray zones where defenses typically fail. It covers OWASP LLM Top 10 and business compliance risks, combining security and business testing.

In addition, Giskard provides structured annotation tools that allow both technical and business stakeholders to systematically review vulnerabilities and prioritize mitigation. Unlike competitors that focus only on security vulnerabilities, Giskard can tackle both security vulnerabilities such as prompt injection and data disclosure and business quality issues like hallucinations and contradictions, that actually kill AI adoption.

Compared to observability tools, Giskard enables enterprises to detect and address failures before they become real incidents. This proactive approach helps prevent incidents rather than reacting after they occur in production.

Giskard defends the vision of AI that can be trusted by its makers and users. We are committed to ensuring companies can deploy AI Agents with trust, by advancing research in AI safety and providing the leading standards for LLM quality & security testing in critical applications.

A Giskard AI Customer Story

According to Mayank Lore, AI Automation Developer at Michelin:“Giskard has become a cornerstone in our LLM evaluation pipeline. From hallucination detection to factuality and robustness checks, it provides the structured, enterprise-grade tools we need to ensure model quality at scale. What stands out most is how seamlessly it fits into our workflow - the intuitive UI, powerful APIs, and flexibility for customizing tests allow our team to move fast without compromising reliability. It’s a mature, production-ready solution for anyone serious about evaluating generative AI systems.”

Giskard is trusted by leading enterprises across industries like AXA (insurance), BNP Paribas (finance) and Michelin (manufacturing) among others. Giskard has a strong collaboration with Google Deepmind that aided work on Phare, a multilingual benchmark to evaluate LLMs across key safety & security dimensions, including hallucination, factual accuracy, bias, and potential harm.

The Giskard AI Team Culture

Giskard proudly claims to have an international team representing different nationalities and cultures. The team is based on 2 foundations: Research & Development and the Business Team. Giskard fosters unity and empathy by respecting differences and supporting fellow co-workers, staying proactive and efficient by focusing on what matters most, and building trust through openness and transparent communication. Giskard strives to make a real impact with its contributions, while keeping a visionary outlook that balances immediate goals with long-term innovation.

"Our mission is to become the global standard for trust and safety in Generative AI. We help enterprises confidently deploy generative AI agents through a comprehensive and continuous testing system. This system assesses and pinpoints any issues with conversational LLM agents, guaranteeing both security and business alignment." - Alex Combessie, Co-founder & co-CEO

Find out more about Giskard AI: https://www.giskard.ai/