What is the Evaluation Planner?

A trained monitoring agent that continuously evaluates AI response quality against the knowledge base, brand guidelines, and historical baselines. It operates 24/7 and produces quality reports with flagged concerns. It is a specialized set of agents dedicated to governance rather than engagement.

How does pre-launch testing handle edge cases?

The testing battery includes adversarial inputs designed to trigger edge-case failures: prompt injection attempts, off-domain questions, ambiguous queries, and scenarios where knowledge is partial. Each edge case is tested, evaluated, and any failure mode is resolved before launch.

How does Vurbalize's security posture compare to competitors after recent breaches?

Narrow OAuth scopes by default (not broad permissions for convenience) and managed key rotation (not static tokens). These practices were foundational to platform design, not reactive to breaches. The approach was validated by recent industry incidents.

What if the customer updates their website content?

Automated knowledge retrieval syncs from customer content on a regular cadence. The monitoring layer verifies responses reflect current content, not outdated material. For urgent content changes, manual sync triggers are available.

Platform Capability

Enterprise Trust: Pre-Launch Verification, Continuous Monitoring, AI Governance

Before the AI represents your brand: batch testing across key topics, product domains, and visitor scenarios. Testing validates accuracy against published content, absence of hallucination, resilience against prompt injection, appropriate handling of out-of-scope queries, and consistency with brand voice.

Then, a trained Evaluation Planner monitors AI responses 24/7, alerting on aberrations. This is production observability applied to AI: the same principle engineering teams apply to production systems, applied to the AI that represents your brand.

KEY CAPABILITIES

How Trust & Safety works

Enterprise-grade trust verification, AI governance, and continuous monitoring with pre-launch testing and 24/7 production observability.

SOC 2 Type II

Independent audit of security controls, availability, processing integrity, confidentiality, and privacy. Covers full platform, not selected components.

Enterprisegrade compliance

Pre-Launch Testing

Batch testing across key topics and domains. Validates accuracy, hallucination prevention, prompt injection resilience, and brand consistency before deployment.

Comprehensivepre-launch validation

24/7 Monitoring

Trained Evaluation Planner monitors AI responses continuously. Alerts on aberrations. Quality reports with flagged concerns. Production-grade governance.

24/7production monitoring

Encryption & Security

AES-256 at rest, TLS in transit. RBAC access control. Managed key rotation. Narrow OAuth scopes by default. Rate limiting and bot protection.

Secureby design

HOW IT CONNECTS

Part of a larger orchestration

Trust & Safety is the governance layer that ensures every capability operates safely and accurately.

Chat

Gen AI Chat

Pre-launch testing validates accuracy and hallucination prevention before conversations go live.

Sales

Seller Co-Pilot

Monitoring ensures suggestions remain accurate as knowledge base evolves.

Orchestration

Composable Workflows

Trust Verification workflow monitors all agent outputs for quality and consistency.

FOR YOUR ROLE

What Trust & Safety means for you

CISO

SOC 2 Type II. Encrypted at rest and in transit. RBAC. Managed key rotation. Narrow OAuth scopes. PII masking. Architecture designed for enterprise security, not retrofitted.

Learn more

CMO

You need to trust the AI before buyers encounter it. Pre-launch testing ensures accuracy. Continuous monitoring ensures consistency. 80% of buyers trust AI tools. Trust breaks if wrong.

Learn more

For the VP Engineering

The platform applies production system principles to AI governance. Pre-launch testing validates the environment. Continuous monitoring observes production. If your engineering team would not deploy a service without observability, you should not deploy customer-facing AI without it.

For Compliance/Procurement

SOC 2 Type II audit documentation available. Data residency configurable. PII masking for HIPAA, GLBA, and GDPR requirements. Full audit trail on all configuration changes.

PROOF POINTS

The numbers behind Trust & Safety

1/3

of companies

will harm CX with frustrating AI self-service by 2026.

Forrester

80%

of buyers

trust AI tools at least sometimes, up 19 points YoY.

TrustRadius, 2025

700+

organizations affected

by the Drift/Salesloft OAuth breach in August 2025.

Public reporting

76%

of B2B decision makers

have abandoned a form due to data privacy concerns.

MIT Technology Review, 2025

Want to see this in action?

Get a prototype built on your website, or book a conversation with our team.

Talk to Us

Frequently Asked Questions

: A trained monitoring agent that continuously evaluates AI response quality against the knowledge base, brand guidelines, and historical baselines. It operates 24/7 and produces quality reports with flagged concerns. It is a specialized set of agents dedicated to governance rather than engagement.
: The testing battery includes adversarial inputs designed to trigger edge-case failures: prompt injection attempts, off-domain questions, ambiguous queries, and scenarios where knowledge is partial. Each edge case is tested, evaluated, and any failure mode is resolved before launch.
: Narrow OAuth scopes by default (not broad permissions for convenience) and managed key rotation (not static tokens). These practices were foundational to platform design, not reactive to breaches. The approach was validated by recent industry incidents showing the cost of the alternative.
: Automated knowledge retrieval syncs from customer content on a regular cadence. The monitoring layer verifies responses reflect current content, not outdated material. For urgent content changes, manual sync triggers are available.