Best AI Security Testing Tools in 2026

It suits AI application teams, agent and MCP developers, security and compliance reviewers, learners, and red-teamers.

PromptGuard

PromptGuard suits teams adding request inspection and data-protection controls to applications that use LLM providers.

It suits researchers and teams evaluating cybersecurity behavior in generative AI models, including those building with open models.

Giskard

Giskard suits teams evaluating conversational AI agents for security and quality issues before production.

Promptfoo

It suits developers and enterprises evaluating prompts or testing AI applications for risks.

AgentScan

It suits teams assessing the security of LLM applications, RAG pipelines, or agents, especially those seeking API automation and report exports.

Moonshot is intended for AI developers and compliance teams assessing LLMs or applications.

Augustus suits security professionals who need to test LLMs in authorized assessments.

Basilisk

It suits security practitioners, researchers, and academics testing AI or LLM systems they own or are explicitly authorized to assess.

AIRTaaS

It is designed for teams that need recurring security and policy validation.

Crucible suits individual builders, open-source projects, and teams shipping AI agents.

garak suits teams and practitioners who want to scan language models for security and safety weaknesses.

DeepTeam

It suits teams assessing LLM vulnerabilities in development or production workflows.

RedForge suits security teams and developers performing authorized LLM red teaming, vulnerability scans or CI checks.

PyRIT suits people assessing generative AI security and safety who can configure AI endpoints and run a self-hosted framework.