Giskard
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About
Giskard is a testing platform to continuously secure LLM agents, preventing hallucinations and security issues. It offers an open-source Python library for data scientists and an enterprise LLM agent testing hub with advanced evaluation capabilities and collaborative red-teaming, to securely deploy GenAI applications. Giskard helps to prevent costly AI incidents with expert-validated testing, transforming business knowledge into comprehensive test suites and deploying AI with metric-driven confidence. Giskard is designed for business users like domain experts and product managers, offering a collaborative red-teaming playground and annotation tools, enabling anyone to easily craft test cases.
Platform
Task
Features
• open-source
• ai compliance
• ai red teaming
• continuous testing & alerting
• automated adversarial test generation
• exhaustive vulnerability detection
• python ai testing library for developers
• llm evaluation hub
FAQs
What is the difference between Giskard and LLM platforms like LangSmith?
Giskard not only tests your AI, but also automatically detects critical vulnerabilities such as hallucinations and security flaws.
How does Giskard work to find vulnerabilities?
Giskard employs various methods to detect vulnerabilities, depending on their type: Leveraging company expertise (e.g., RAG knowledge base) to identify hallucinations.
Should Giskard be used before or after deployment?
Giskard can be used before and after deployment: Provides comprehensive quantitative KPIs to ensure your AI agent is production-ready.
After finding the vulnerabilities, can Giskard help me correct the AI agent?
After subscribing to the Giskard Hub, you can opt for support from our LLM researchers to help mitigate vulnerabilities.
What type of LLM agents does Giskard support?
The Giskard Hub supports all types of text-to-text conversational bots.
What’s the difference between Giskard Open Source and LLM Hub?
Giskard Open Source → A Python library intended for developers.
I can’t have data that leaves my environment. Can I use Giskard’s LLM Hub on-premise?
Yes, you can easily install the Giskard Hub on your internal machines or private cloud.
How much does the Giskard Hub cost?
The Giskard Hub is available through annual subscription based on the number of AI systems.
Pricing Plans
Enterprise
Unknown Price• Exhaustive vulnerability detection
• Automated adversarial test generation
• Continuous testing & alerting
• Annotation to build domain-specific tests
• On-premise, Private Cloud, SaaS
• User authentication
• Role-Based Access Control
• Single-Sign-On (SSO)
• Dedicated email & ticketing platform
• Priority support with SLAs
Job Opportunities
Senior Enterprise Account Executive
Giskard is a testing platform to continuously secure LLM agents, preventing hallucinations and security issues.
Benefits:
Flexible working hours
Pet-friendly office
Game room
Stock purchase plan / Stock options
Team building
Experience Requirements:
Minimum of 5 full years of work experience in software sales at fast-growing B2B tech companies, carrying quotas and focused on hunting.
Experience with long sales cycles (6-12 months) and navigating large enterprises procurement processes.
Proven track record of consistent performance and quotas attainment. You must have sold recurrent 6-7 figures yearly deals, on a regular basis, across EMEA.
Comfortable engaging in technical discussions with Gen AI engineering teams.
Excellent verbal and written communication skills in English (fluent) and French (at least professional proficiency). Bonus points for experience with revenue intelligence or developer intent tools.
Other Requirements:
We are hiring people located in France or willing to relocate.
You must have an EU work permit.
Responsibilities:
drive pipeline generation by building and maintaining pipeline coverage to meet revenue goals.
lead qualification and demos: deliver compelling product demonstrations and presentations tailored to the unique challenges of large enterprises while continuously educating them on the business value of Giskard's enterprise solution.
develop trusted advisor relationships with Gen AI leaders and experts ensuring they understand the depth of Giskard's value proposition.
manage complex deal cycles, often involving multi-stakeholder procurement processes, security reviews, and legal negotiations.
provide feedback to the product team, shaping the roadmap based on insights from the ground.
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Customer Success Manager
Giskard is a testing platform to continuously secure LLM agents, preventing hallucinations and security issues.
Benefits:
Flexible working hours
Pet-friendly office
Game room
Stock purchase plan / Stock options
Team building
Experience Requirements:
Minimum of 3 years' experience in Customer Success or Consulting roles.
Demonstrated project management skills within large organizations and handling various technical stakeholders.
Experience managing AI projects, ideally involving Large Language Models.
Outstanding communication skills in both English and French, in written and verbal form.
Bonus: experience in early-stage startups (<50 employees). Bonus: proficiency in German.
Other Requirements:
We are hiring people located in France or willing to relocate.
You must have an EU work permit and you must speak French.
Responsibilities:
Help customers use our product successfully to make their LLM Agents more secure & reliable
Coordinate with key decision-makers among our customers, from initial product evaluation and onboarding, to continuous usage and renewals
Act as the bridge between our customers and Giskard's Product and R&D team
Support Giskard's sales & marketing team with customer stories and hands-on product knowledge
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AI Safety & Security Researcher
Giskard is a testing platform to continuously secure LLM agents, preventing hallucinations and security issues.
Benefits:
Flexible working hours
Pet-friendly office
Game room
Stock purchase plan / Stock options
Team building
Education Requirements:
Ph.D. in Machine Learning / Artificial Intelligence, preferably on Generative AI / LLM topics
Experience Requirements:
Experience in Machine Learning / Artificial Intelligence research, with a track record of publishing research papers and turning them into useful tools.
Expert proficiency in the Python AI stack, especially with PyTorch, Hugging Face and LLM frameworks.
Strong skills in software engineering (use of Git, production-ready code.)
Strong written & oral communication skills in English.
Bonus 1: open-source contributions are highly valued. Bonus 2: knowledge of cybersecurity fundamentals and techniques is also a plus.
Other Requirements:
We are hiring people located in France or willing to relocate.
Responsibilities:
Develop production-ready tools for LLM evaluation & mitigation that can be integrated in our software platform
Conduct our scientific watch, reading academic papers in the fields of AI Testing / Benchmarking / Security.
Communicate findings with other AI teams at customers & partners, such as Mistral AI, AWS, Google, Microsoft, NVIDIA, in the form of presentations and papers.
Push the frontier of AI Safety & Security research with a focus on tools for real-life applications.
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