Description
BotGauge is a red-teaming platform for AI agents. Instead of checking whether an agent's output looks correct, it tries to break the agent: sending adversarial prompts, instruction overrides and edge-case inputs to see what the agent actually does when pushed off its intended path. The premise is that a small change in the underlying model, a prompt, a connected tool or the surrounding context can send an agent down a path nobody anticipated, and that path needs to be found before real users find it.
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A test run works by giving the agent a realistic task, such as booking a flight, and then layering in an adversarial instruction, for example telling it to ignore its previous instructions and skip an approval step. BotGauge records the agent's full response: the prompts it received, the tool calls it made, the context it used and the final action it took. When the agent mishandles the attempt, such as by carrying out an action a policy should have blocked, BotGauge flags the result as a policy violation and adds that exact scenario to the evaluation suite, so it reruns automatically on every future test rather than needing to be rediscovered.
The platform is built around three steps: exploring adaptive real-world and adversarial scenarios to find unexpected agent behavior, tracing the prompts, responses, tool calls and execution paths behind each result, and turning the important discoveries into permanent evaluations and safeguards. Because agents keep changing as their model, prompts, tools or context are updated, BotGauge is meant to run continuously rather than once, tracking an agent's behavior from development through production.
BotGauge is built for engineering teams that build or deploy AI agents and need a way to test agent behavior beyond checking whether individual outputs look right. It holds a 4.6 rating on G2 and states it is SOC 2 Type II compliant. New users start with a free trial or a demo request rather than a published self-serve price.
- CategoryAI Cybersecurity Tools
- Pricing ModelOutcome-based
- DeploymentCloud
- PlatformsWeb
BotGauge's Core Features
Adaptive red-teaming that probes agents with adversarial and real-world scenarios
Detects prompt-injection and instruction-override attempts, including skipped approval steps
Traces prompts, responses, tool calls and execution paths behind every test result
Converts each discovered failure into a reusable evaluation added to the test suite
Re-runs the accumulated evaluation suite automatically as the agent evolves
Monitors and governs agent behavior from development through production
SOC 2 Type II compliant
4.6 rating on G2
How to use BotGauge?
Connect your agent: point BotGauge at the AI agent you want to test.
Run adversarial scenarios: let BotGauge send adaptive, real-world and adversarial inputs at the agent.
Inspect the trace: review the prompts, responses, tool calls and execution path behind each result.
Convert findings to evaluations: turn a discovered failure into a permanent test in the evaluation suite.
Re-test continuously: rerun the suite whenever the agent's model, prompts, tools or context change.
BotGauge's Use Cases
- Pre-launch agent stress test
- Regression evaluation suite
- Policy violation detection
- Continuous agent monitoring
