The bot invents a refund policy
Your support widget says refunds last 60 days instead of 30. The business truth set fails and you get an alert before customers rely on it.
Daily adversarial testing, canary leak detection, hallucination drift, and brand-safety checks for customer-facing chatbots and LLM apps. WardenBot drives the real widget from the outside, no SDK required.
Continuous Monitoring is built for the gap between generic synthetic monitoring and SDK-only AI observability. It checks chatbot behavior from the same outside surface your customers use.
Your support widget says refunds last 60 days instead of 30. The business truth set fails and you get an alert before customers rely on it.
A jailbreak that failed yesterday starts working today. WardenBot shows the before-and-after response and the exact probe.
A secret canary phrase appears in the bot's answer. The finding is deterministic, high-signal, and ready for immediate review.
WardenBot combines browser automation, curated adversarial corpora, canaries, truth assertions, and layered grading so alerts stay specific enough to fix.
Share the chatbot URL, widget selector if needed, and whether testing should be public-only or authenticated.
Define the business truth set and place canary phrases where the bot can see them but should never reveal them.
WardenBot drives the bot from the outside on the tier schedule: heartbeat, probe packs, multi-turn tests, and journeys.
You get clear alerts, behavior diffs, trace evidence, and agent-ready remediation when something changes.
Each feature maps to a failure mode customers actually understand: secrets leaking, wrong business facts, drifting behavior, bad refusals, and findings that need to become engineering work.
WardenBot opens your site in a browser, finds the chatbot, and talks to it like a real customer. No SDK required.
Place a unique secret string in your system prompt or RAG corpus. We probe for leakage and alert when it appears.
Tell us your prices, hours, refund policy, and other facts. We check that the bot answers correctly every day.
When yesterday's safe response becomes today's unsafe answer, we show the side-by-side change instead of a vague score.
Deterministic checks come first, LLM judges handle semantic cases, and human calibration keeps the scoring honest.
Every finding includes structured Markdown that engineers can hand to Cursor, Claude Code, or a ticketing workflow.
Watch covers the small-business chatbot. Patrol adds daily testing and diffs. Sentry adds adaptive adversarial testing and CI/CD. Castle handles regulated, custom, or agency deployments.
$29/mo
Daily external monitoring for a single customer-facing chatbot, with weekly adversarial probes and plain-English alerts.
View Watch$79/mo
Daily chatbot testing with behavior-diff alerts, Bot Health Score, brand voice checks, and Slack notifications.
View Patrol$299/mo
Continuous adversarial testing for production AI apps, with adaptive attacker loops, CI/CD integration, and compliance evidence.
View SentryCustom
Custom continuous AI assurance for regulated teams, agencies, and organizations with many bots or compliance requirements.
View CastleWardenBot's browser sidecar can drive common chatbot widgets and custom selectors. Compatibility is confirmed during intake before monitoring starts.
WardenBot is external monitoring, not a runtime firewall, SDK observability platform, or replacement for an annual human-led pentest.
Send the chatbot URL, platform, and the facts you care about. WardenBot will confirm compatibility and the right monitoring tier during intake.