Giskard
Overview
Product details compiled from public sources, each with a citation.
- Vendor
- Giskard1
- Description
- Open-source and commercial AI testing platform that red-teams LLMs and ML models with adversarial probes for prompt injection, hallucination, and sensitive-information disclosure.1
- Deployment
- SaaS, Self-hosted1
- Status
- Active1
- Compliance
- SOC 2 Type 21 (company-level, see Methodology)
Matrix Coverage
Where this product defends, by asset class and NIST CSF function. The Coverage column shows whether each asset is Primary, Secondary, or Adjacent to what the product does. The table omits empty rows and columns.
Framework Relevance
These frameworks include controls relevant to the asset classes Giskard defends. This is an editorial inference from the AI Defense Matrix asset-level crossmap, not a statement that Giskard implements these controls or is certified against them.
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| Framework | Asset class | Relevant controls |
|---|---|---|
| NIST IR 8596 | AI Model | Models; Algorithms (model configuration) |
| CSA AI Controls Matrix | AI Model | Model Security; Governance, Risk and Compliance |
| ISO 42001 | AI Model | A.6 AI system life cycle; A.10 Third-party and customer relationships; A.5 Assessing impacts of AI systems |
| Google SAIF | AI Model | Protect the AI model; ensure model integrity, provenance, and weight security |
| SANS Critical AI Security Guidelines | AI Model | Conventional Security Controls (protect model parameters with least privilege, encryption at rest, runtime obfuscation, and trusted execution environments); Data/Model Engineering Controls (adversarial training; alignment and fine-tuning); AI Supply Chain Management (public-model caution; transfer-attack exposure) |
| MITRE ATLAS | AI Model | AML.T0043 Craft Adversarial Data; AML.T0024 Exfiltration via AI Inference API (subtechniques: AML.T0024.001 Invert AI Model and AML.T0024.002 Extract AI Model); AML.T0018 Manipulate AI Model (integrity and backdoor) |
| OWASP AI Exchange | AI Model | Development-time and runtime model threats: model inversion, extraction, evasion, poisoning |
| OWASP LLM Top 10 | AI Model | LLM03 Supply Chain; LLM04 Data and Model Poisoning; LLM09 Misinformation |
| OWASP Agentic Security Top 10 | AI Model | ASI04 Agentic Supply Chain Vulnerabilities (model provenance, weights, and dynamic loading) |
Provenance
Last sourced 2026-06-09.
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Sources
- Giskard AI red teaming and LLM security
- “we offer native GDPR adherence alongside SOC 2 Type II and HIPAA compliance”
- “It provides an intuitive UI, powerful APIs, and seamless workflow integration for production-ready evaluation.”
Changelog
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Added to the catalog from the Giskard documentation.
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