Adaptive red-teaming
Test agent behavior across inputs, context, tools, policies, and multi-turn interactions. Teams can begin with a baseline, explore noteworthy behavior, and define custom strategies.
BotGauge
Freemium
BotGauge red-teams AI agents with adaptive scenarios, then turns findings into repeatable evaluations, policies, and safeguards for teams developing and operating agents.
What is BotGauge?
BotGauge is a platform for red-teaming, evaluating, tracing, and monitoring AI agents across development and production. It runs adaptive and adversarial scenarios to expose unexpected behavior, provides traces for investigating how an agent reached a result, and helps teams turn important findings into repeatable evaluations and safeguards. The platform is designed for varied agent architectures, including RAG assistants, support and voice agents, multi-agent systems, and agents that take transactional actions.
What can BotGauge do?
Agent traces
Inspect prompts, responses, tool calls, context, and execution paths to understand what happened behind a test result.
Reusable evaluations
Convert discoveries from red-team campaigns into repeatable checks. Score goal completion, accuracy, policy adherence, and criteria specific to an agent.
Policies and safeguards
Carry standards into evaluation, monitoring, and safeguards, using LLM evaluators, code-based checks, and custom criteria.
Framework and stack compatibility
Test agents across existing models, frameworks, agent systems, and tools. The site names OpenAI, Anthropic, Hugging Face, LangChain, LlamaIndex, LangGraph, CrewAI, and AutoGen among supported examples.
Enterprise access controls
The platform lists SOC 2 Type II, SSO/SAML, and fine-grained access control for teams managing projects and resources.
Use Cases
“Pre-release adversarial testing”
Probe an agent with unexpected or hostile instructions before deployment, such as attempts to change a transaction or bypass an approval policy.
“Regression checks after changes”
Add important red-team discoveries to an evaluation suite so teams can rerun those checks across later releases and detect changes in behavior.
“Investigating agent failures”
Use execution traces to review the prompts, context, tool calls, and paths associated with a finding and understand how the outcome occurred.
“Assessing multi-step and tool-using agents”
Evaluate agents that coordinate with other agents or tools, handle customer context, or perform actions such as refunds, approvals, and transfers.
Frequently Asked Questions
What kinds of agents can BotGauge test?
The platform describes support for RAG assistants, customer support agents, voice agents, multi-agent systems, and transactional agents. It is presented as framework- and architecture-agnostic.
What information can a team inspect after a test?
Agent traces can expose prompts, responses, tool calls, context, and execution paths associated with a result.
Can test findings be reused in later releases?
Yes. BotGauge supports turning discoveries into evaluations that can be run as repeatable checks, including checks for goal completion, accuracy, and policy adherence.
What security and team access features are listed?
The site lists SOC 2 Type II, SSO/SAML, and fine-grained access control.
How can a team start using BotGauge?
Teams can use the Start for Free option or request a demo.
Quick Facts
- Product category
- AI agent red-teaming and evaluation platform
- Primary workflow
- Run adaptive tests, inspect traces, and convert findings into repeatable evaluations and safeguards
- Agent types
- RAG, customer support, voice, multi-agent, and transactional agents
- Deployment lifecycle
- Development through production
- Security and access
- SOC 2 Type II, SSO/SAML, and fine-grained access control are listed
- Website
- botgauge.com
BotGauge Traffic Analysis
Traffic data is for reference only.
- Domain Rating
- 29
BotGauge Alternatives
Promptfoo
www.promptfoo.dev
Promptfoo is an AI security and testing platform for evaluating LLM applications, agents, models, and workflows. It helps developers and security teams find vulnerabilities, validate guardrails, map findings to security frameworks, and track remediation through development and deployment.