Giskard vs Lakera
A side-by-side comparison of Giskard and Lakera, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | Giskard | Lakera |
|---|---|---|
| Category (differs) | Eval | Security |
| Pricing | FREEMIUM | FREEMIUM |
| License (differs) | Open core | Proprietary |
| Deployment | Hybrid | Hybrid |
| Platforms (differs) | Web, API | API, Web |
| Model support | Model-agnostic | Model-agnostic |
| Vendor (differs) | Giskard | Lakera (Check Point) |
| Capabilities (differs) |
|
|
The honest brief
Giskard
Its Scan auto-generates adversarial suites mapped to the OWASP LLM Top-10, framing eval as security red-teaming, not just accuracy.
- Automatic vulnerability scan
- Multi-turn red-teaming agents
- Covers LLMs, RAG apps, and ML models
- Publishes the open Phare safety benchmark
- Python-library learning curve
- Collaboration features are paid (Hub)
- Less focused on production tracing
Lakera
Detection models trained on 80M+ real adversarial prompts from its viral Gandalf game; sub-50ms inline latency.
- Detection sharpened by the Gandalf game
- Low sub-50ms latency, inline-friendly
- Covers injection, jailbreaks, PII, data loss
- Model-agnostic API in front of any LLM
- Behavioral detection risks false positives
- Core product is closed source
- Enterprise pricing quoted by sales
When to pick which
Both cover Red-teaming and AI security scanning.
Pick Giskard if you need LLM evaluation.
- LLM evaluation (secondary capability)
Pick Lakera if you need Guardrails and Content moderation.
- Guardrails (primary capability)
- Content moderation (secondary capability)
Giskard leans on AI security scanning as a headline capability; Lakera treats it as secondary.
- AI security scanning (primary capability)
They also differ on:
- License
- Open core · Proprietary