Trust Center

Data Use, Security, and Compliance

This page summarizes how HoverBot handles customer data, model training controls, retention, service reliability, and compliance progress.

Compliance status

Certifications and compliance at a glance

Active

GDPR + PDPA Controls

Operational privacy controls including retention schedules, access governance, and quarterly policy reviews.

In progress

SOC 2 Type II

Control maturity workstream active: evidence collection and readiness documentation in progress.

Evaluating

ISO 27001

Scoping and sequencing decisions under evaluation following SOC 2 milestone progress.

How to read the labels on this page

Available
Shipped and in use on every workspace. You can enable it today without talking to us.
Pilot
Working on design-partner workspaces. Enabled per tenant by the HoverBot team, may change before general release.
Planned
On the roadmap. Not in the product yet, so do not buy on the assumption it will arrive by a given date.
Target
A number HoverBot is built and tuned to reach. Not yet confirmed on a production customer cohort.

Data Use Policy

Last reviewed: September 2026

  • Customer conversation data belongs to the customer account owner.
  • Data is processed to provide chatbot responses, analytics, and support workflows.
  • HoverBot does not train or fine-tune language models on customer conversations. Conversations are sent to the model provider's API for inference under terms that exclude API data from provider training. There is no opt-in that changes this.
  • Sensitive values are redacted by policy rules before downstream model calls when configured.

Retention Schedule

Last reviewed: September 2026

Data TypeDefault RetentionNotes
Conversation transcriptsLife of the workspace; deleted on requestA per-workspace retention setting exists (default 90 days) but automated deletion on that schedule is not live. Planned
Conversation session cache24 hoursIn-memory session and skill state expires automatically. Available
Operational and audit logsRotated on the host; no fixed period published yetUsed for security and incident investigations. A published retention period is planned. Planned
Lead capture exportsPer destination system policyGoverned by CRM/helpdesk retention settings

Security Controls

Last reviewed: September 2026

  • Encryption in transit and at rest
  • Role-based access controls and audit logs
  • PII masking and guardrail enforcement options
  • Incident response triage with security contact workflow

Not available yet

  • Planned Single sign-on (SAML or OIDC) for the admin console
  • Planned Multi-factor authentication for admin accounts
  • Planned Automated deletion on the per-workspace retention schedule
  • Planned Hosting regions other than Singapore

Listed so a security review does not have to ask. Dates are not promised.

Hosting and Subprocessors

Last reviewed: September 2026

Production runs in a single AWS region, Asia Pacific (Singapore). The database, vector index, cache and the PII detection service run inside that deployment and are not subprocessors. The parties below receive customer data.

SubprocessorPurposeData received
Amazon Web ServicesHosting of the application, database and cache; transactional emailAll customer data at rest, Singapore region
OpenAILanguage model inference and text embeddings via APIConversation text and retrieved knowledge passages, after PII masking where enabled. Not used for provider training under API terms.
VercelHosting of this marketing site onlyForm submissions from this site. No chatbot conversation data.

Channel providers a workspace connects (for example WhatsApp) receive the messages exchanged on that channel under their own terms.

Uptime and Reliability

Last reviewed: September 2026

HoverBot targets 99.9% monthly availability objective for production services. Current service state and the public record of customer-affecting incidents are published on the system status page, which also serves the same data as JSON.

Enterprise SLA terms are available through contractual agreements.

Compliance Status

Last reviewed: September 2026

  • GDPR and PDPA operational controls in place
  • SOC 2 Type II readiness work in progress
  • Quarterly policy and control review cadence

Compliance Roadmap

Last reviewed: September 2026

GDPR + PDPA controls (operational)

Retention, access governance, and policy controls are active in current operations.

SOC 2 Type II (in progress)

Readiness workstream in progress with controls and evidence collection.

ISO 27001 (evaluation phase)

Scoping and sequencing decisions are being evaluated after SOC 2 milestones.

Evidence for Published Claims

Last reviewed: September 2026

Third-party listings and reviews

HoverBot is listed on the following independent platforms. Visit these profiles for external reviews, ratings, and independent assessments.

Questions or requests

For data-processing questions, model training opt-out, or security documentation requests, contact our team and reference “Trust Center”.

Compliance & data handling FAQ

How HoverBot approaches compliance, GDPR, and PII as a compliance-first AI chatbot platform.

Still have questions? Talk to us →
01Is HoverBot a compliance-first AI chatbot platform?

Yes. HoverBot is built compliance-first: PII masking, guardrails, DLP and content filtering, per-tenant isolation, and exclusion of customer data from model training are part of the platform rather than add-ons.

02How does HoverBot support chatbot GDPR compliance?

HoverBot supports GDPR through data minimization (PII masking and redaction before prompts and logs), purpose limitation, configurable retention, access controls, and data residency options. Customers remain the data controller; HoverBot acts as a processor under a DPA.

03Does HoverBot train its models on our customer data?

No. Customer conversations and uploaded knowledge are not used to train shared or third-party foundation models. Data stays isolated to your tenant and is used only to operate your chatbots.

04Can HoverBot mask PII and apply DLP on customer support chatbots?

Yes. PII masking and DLP/content filtering run on both inbound queries and model outputs, so sensitive data is detected and protected before it is stored, logged, or shown in customer support conversations.