External testing
We test from outside the way a customer, attacker, or confused user would. No runtime firewall claims.
Trust
Security work needs clear boundaries and receipts.
WardenBot AI tests from the outside, documents authorization, keeps evidence narrow, and separates verified findings from monitoring signals that still need review.
Trust posture
We are not a runtime firewall and we do not promise perfect safety. We provide audits, monitoring, alerts, evidence, and agent-ready remediation so your team can act faster.
Authorized scope
Audits and authenticated monitoring require customer-approved assets, credentials, rate limits, and excluded actions.
Verified evidence
High-impact audit findings are validated with concise proof. Monitoring alerts include trace context and confidence signals.
Agent-ready remediation
Reports include structured tasks that engineers can hand to AI coding agents with constraints and validation steps.
Layered judgment
Script-first checks, guarded LLM judges, and human calibration reduce false confidence in AI safety scores.
Practical data handling
Evidence is minimized, unnecessary secrets are redacted, and customer-controlled retention is part of the product plan.
Procurement surface
The trust artifacts buyers ask for live in one place.
As a security company, the trust surface is part of the product. The public hub keeps the core policies visible, and formal artifacts are available during procurement and customer onboarding.
- Data Processing Agreement and plain-language summary
- Subprocessor list with customer notification on material changes
- Vulnerability disclosure policy and researcher safe harbor
- Incident response policy with 72-hour breach-notification target
- Data handling, retention, export, and deletion controls
- Supply-chain artifacts for production services as the platform ships
- Self-pentest history with redacted quarterly summaries
- Service-level objectives for paid monitoring tiers
Authorized scope before active tests.
Paid audits require ownership confirmation, approved targets, intensity limits, exclusions, and payment after scope review.
Read rules of engagementCompatibility and consent before recurring probes.
Monitoring setup confirms the chatbot URL, widget access, canary placement, business facts, alert routes, and authenticated test boundaries when applicable.
Explore monitoringEvidence stays useful and restrained.
Findings and alerts include trace context, impact, remediation guidance, and redaction where sensitive details are not needed for the fix.
View sample report