Giskard

Automated testing platform to secure LLM agents against prompt injection, data leaks, and hallucinations through continuous adversarial red teaming.

Introduction

Continuous Red Teaming: Automated generation of attack scenarios covering prompt injection, sycophancy, and data disclosure.
Vulnerability Scanning: Detects security risks and quality issues including hallucinations, inappropriate denials, and biased content.
Regression Testing: Automatically converts detected vulnerabilities into reproducible test suites via a Python SDK or Web UI.
Sovereign Infrastructure: Offers data residency options, RBAC, audit trails, and SOC 2 Type II compliance.

Automated LLM Pentesting: Scaling security audits of AI agents by continuously probing for adversarial vulnerabilities.
RAG Security Evaluation: Leveraging internal knowledge bases to identify domain-specific hallucinations and data leakage.
CI/CD Security Integration: Incorporating proactive security testing into development pipelines using the Giskard Python SDK.