Giskard vs Lakera
Side-by-side comparison of framework coverage, pricing, capabilities, and target customers. Last checked October 2026.
https://aicompliancevendors.com/compare/giskard-ai-vs-lakeraGiskard
European platform for red teaming, evaluating and guarding AI agents, with an Apache 2.0 open-source library and on-premise deployment
Giskard is a Paris-based company founded in 2021 by Alex Combessie, Jean-Marie John-Mathews and Andrei Avtomonov. Combessie and John-Mathews are now co-CEOs, and Giskard says its co-founders previously built AI systems at Dataiku and Thales. It sells software and services for testing and securing LLM agents. Its first funding round, €1.5 million led by Elaia with Bessemer Venture Partners, was announced in December 2022. Giskard says it also received a €3 million strategic investment through the European Commission's EIC Accelerator in 2023 and a €3 million Bpifrance grant in 2024 for LLM evaluation research with Mistral AI, Artefact, INA and BnF. CORDIS lists a €2.5 million EU contribution to its EIC project, which ran from September 2023 to August 2025. Giskard Hub is the paid platform. Continuous red teaming runs multi-turn attacks that adapt to the agent's answers, generated from the company's own documents and knowledge bases. It tests for hallucinations, stereotypes and discrimination, harmful content, disclosure of personal information and prompt injection. Testing is black-box: the agent only needs an API endpoint, and coverage is limited to text-to-text conversational agents. The Hub also schedules agent evaluations and manages test datasets, custom checks and human review, with alerts, SSO, role-based access and audit logs. It runs as SaaS, in a private cloud or on premises, with EU or US data processing. Giskard Guards, launched in April 2026, is a runtime guardrail layer that runs in the customer's infrastructure. It inspects prompts, responses, tool calls and multi-step reasoning, and its policies are written as code in OPA/Rego. Giskard also sells AI security audits that end in a go/no-go report, and it is offering a free trial of a new Agentic Red Teamer to a limited number of users. The open-source library is Apache 2.0 licensed. Version 3, a rewrite for multi-turn agent testing, became stable in August 2026. Version 2 is no longer actively maintained, and tabular models have no v3 equivalent. Giskard also publishes Phare, an LLM safety benchmark launched in February 2025 with Google DeepMind as research partner. Logos on its site include BNP Paribas, AXA, BPCE, Société Générale, Crédit Agricole, Michelin, Decathlon, L'Oréal and Doctolib. **AI compliance coverage** Guards includes an EU AI Act policy pack for prohibited practices such as social scoring and real-time biometric identification, and Giskard says Guards covers OWASP LLM risks. It doesn't map its products to the NIST AI RMF or ISO 42001. Its trust center, run on Bastion, lists GDPR and a SOC 2 Type 2 report and shows HIPAA as in progress. **Who it's for** Enterprises, especially in European banking and insurance, that run customer-facing LLM agents and want testing and runtime controls they can deploy on premises.
Lakera
The leading security platform to secure your AI future.
Lakera is a Zurich-based AI security company founded in 2021 by former Google, Meta, and aerospace engineers. The company provides the Lakera Guard platform, which offers real-time prompt injection prevention, data leakage protection, jailbreak detection, and AI agent security for enterprise generative AI deployments. It operates across workforce AI security, AI agent security, and AI red teaming, with sub-50ms runtime latency and a SaaS-first, API-first architecture. Lakera is the creator of Gandalf, a widely used AI security educational game with over 1 million players and 80M+ prompts collected, which provides a continuously updated threat intelligence database. The company is cited in the OWASP LLM and GenAI Security Landscape Guide 2025, recognized as a Representative Vendor in the 2024 Gartner Innovation Guide for Generative AI (TRiSM), and had Lakera's CEO join the World Economic Forum 2024 alongside Yann LeCun and others. Named customers include Dropbox and a top-3 US bank.
What the data shows
We haven't published an editorial verdict on this pair yet. The comparison below is built from public vendor materials and our taxonomy — no editorialized ranking.
- Shared framework coverage: EU AI Act
- Only Giskard covers: SOC 2
- Only Lakera covers: NIST AI RMF
- Shared capabilities: 1 of 17 listed.
Want our editorial take? Email the editors or read our methodology.
At a glance
| Attribute | Giskard | Lakera |
|---|---|---|
| Founded | 2021 | 2021 |
| Headquarters | Paris, France | Zurich, Switzerland |
| Employees | Undisclosed | 51-200 |
| Funding | €1.5M first round led by Elaia (December 2022), plus a €3M EIC Accelerator investment (2023) and a €3M Bpifrance research grant (2024), per Giskard | Series A, $20M raised (July 2024), led by Atomico with participation from Citi Ventures, Dropbox Ventures, and redalpine. Prior seed of $10M (2023) led by redalpine. Total raised: $30M. |
| Pricing | No prices are published. Two plans: Open-source, a free Python library for local agent experiments with community support, and Professional, quoted on request ('Get your AI audited'). Professional adds automated audits with 50+ adversarial probes, evaluation dataset generation, SSO and role-based access, CI/CD integration through the SDK, on-premise, private cloud or SaaS deployment, and support with SLAs. Advisory on fixes and guardrails is an extra service. Giskard advertises a free Agentic Red Teamer trial with limited spots and an offer for startups and small teams, without stating terms for either. | Enterprise-focused SaaS. No public pricing listed. API-based pricing model expected. Contact sales. |
| Website | Visit site | Visit site |
Framework coverage
| Framework | Giskard | Lakera |
|---|---|---|
| EU AI Act | limited | Partial |
| NIST AI RMF | — | Partial |
| SOC 2 | Certified | — |
Capabilities
| Capability | Giskard | Lakera |
|---|---|---|
| AI Guardrails | ✓ | — |
| Agentic Red Teaming | ✓ | — |
| Audit Logging | ✓ | — |
| Bias & Fairness Testing | ✓ | — |
| Data Leakage Prevention | ✓ | — |
| Hallucination Detection | ✓ | — |
| Human-in-the-Loop | ✓ | — |
| LLM Evaluation | ✓ | — |
| LLM Guardrails & Content Filtering | — | ✓ |
| LLM Red Teaming | ✓ | ✓ |
| Model Monitoring | — | ✓ |
| Policy Enforcement | ✓ | — |
| Policy Management | — | ✓ |
| Prompt Injection Defense | ✓ | — |
| Regulatory Intelligence | — | ✓ |
| Risk Assessment Workflow | — | ✓ |
| Third-Party AI Vendor Risk | — | ✓ |
Industries served
Giskard
- Financial Services
- Insurance
Lakera
- SaaS & Technology
- Education
- Financial Services
Integrations
Giskard
- LiteLLM
- OpenAI API
- Anthropic API
Lakera
- OpenAI API
- Anthropic API
Frequently asked
What is the difference between Giskard and Lakera?+
Giskard is European platform for red teaming, evaluating and guarding AI agents, with an Apache 2.0 open-source library and on-premise deployment; Lakera is The leading security platform to secure your AI future. The full side-by-side covers framework coverage (1 shared, 1 unique to Giskard, 1 unique to Lakera), pricing model, and capability overlap.
How do Giskard and Lakera pricing compare?+
Giskard: No prices are published. Two plans: Open-source, a free Python library for local agent experiments with community support, and Professional, quoted on request ('Get your AI audited'). Professional adds automated audits with 50+ adversarial probes, evaluation dataset generation, SSO and role-based access, CI/CD integration through the SDK, on-premise, private cloud or SaaS deployment, and support with SLAs. Advisory on fixes and guardrails is an extra service. Giskard advertises a free Agentic Red Teamer trial with limited spots and an offer for startups and small teams, without statin
Which AI compliance frameworks do Giskard and Lakera both support?+
Both vendors document support for EU AI Act. Coverage strength varies; see the framework matrix below.
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Editorial independence: This comparison is free and was not paid for by either vendor. See our methodology.