BotGauge
BotGauge helps teams red-team, evaluate, monitor, and govern AI agents from development to production.
AI agents can call tools, access sensitive data, and act autonomously, creating risks traditional testing misses. Prompt injection, unauthorized tool calls, data leakage, guardrail bypasses, and failures across multi-step interactions can remain hidden behind simple test prompts.
BotGauge runs adaptive red-team campaigns against your agents to uncover these risks in realistic scenarios. Every failure becomes a permanent evaluation and is added to your regression suite, helping prevent the same issue from returning after prompt, model, or tool changes.
After deployment, continuous monitoring detects drift, recurring failures, and behavior changes. Governance provides visibility into agent risks, evaluations, and controls, helping teams understand what their agents can do, where they fail, and whether they remain safe as they evolve.
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Datadog
4.9 out of 5 stars
(7 Ratings)
Datadog is the monitoring, security and analytics platform for developers, IT operations teams, security engineers and business users in the cloud age. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring and log management to provide unified, real-time observability of our customers' entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior and track key business metrics.
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Future AGI
Future AGI is an open-source, end-to-end AI agent engineering platform that covers the full lifecycle: simulate, evaluate, optimize, monitor, protect, gateway, and guardrail - all from one place. It helps teams ship self-improving AI agents by collapsing fragmented tooling into one platform and one feedback loop: simulate edge cases before launch, evaluate what happens in production, protect users in real time, and turn every trace into signal for the next version. Key capabilities include 70+ built-in evaluation templates covering quality, safety, factuality, RAG retrieval, bias, audio, and image evaluation, OpenTelemetry-native tracing, agent optimization, and real-time guardrails (PII detection, prompt injection blocking). SDKs are available in Python, TypeScript, Java, and C#, with integrations for OpenAI, LangChain, LlamaIndex, and 30+ frameworks. Apache 2.0 licensed, self-hostable or cloud-managed.
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Agent Testing by TestMu AI
Agent Testing by TestMu AI tests chat, voice, phone (inbound and outbound), video and image agents before and after release. Upload a PRD, knowledge base or short description, or connect Jira and Confluence, and it generates 60 to 100+ scenarios across happy paths, edge cases and adversarial inputs. 15+ specialized AI evaluators then hold real conversations with the agent and score every response for hallucination, bias, toxicity and compliance gaps. Chat and voice agents are scored on 9 quality metrics and phone agents on 30+ call metrics. The result is a Green, Yellow or Red go-live verdict with a confidence level.
TestMu AI (Formerly LambdaTest) is an Agentic AI Quality Engineering platform that assures AI deployments across the enterprise and the real world. It runs agentic testing for web and mobile apps on 3,000+ browsers and 50,000+ real devices, and for chat, voice, IVR, video, and image agents.
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