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1Repair Windows errors before they cause bigger problems2Scan for outdated or missing drivers - takes under a minute3Clear out junk files and repair common Windows errorsShort answer: Zenzap’s AI can search the messages and files you make available in an authorized workspace. That can include voice-message transcriptions, PDF, Word and Excel content, text inside images, photos, videos, to-dos, polls, contacts and conversations filtered by topic, person or date. A connected Google Workspace can add permission-scoped Gmail, Calendar, Contacts, Meet and selected Drive data. Zenzap says Google Workspace data is processed for requested features rather than advertising or generalized AI-model training, but the service is not end-to-end encrypted. Your practical protections are permissions, agent controls, audit trails, company-level encryption, regional processing choices and revocation procedures.
What Zenzap can search in your workspace
Zenzap’s AI Search is broader than a keyword search over plain chat messages. It can inspect content that is already stored in the chats and workspace you authorize, then return an answer with a link back to the source message or file. The exact result depends on your workspace permissions, the feature you enable and whether the relevant content is available to Zenzap.
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Content types available to AI Search
| Content | What the feature can do |
|---|---|
| Messages | Find conversations and individual messages, including filtering by topic, person or time period. |
| Voice messages | Search the service’s transcriptions of voice messages. |
| Office files | Search shared PDF, Word and Excel files and the text they contain. |
| Images | Read text in receipts, invoices, screenshots and other images. |
| Photos and videos | Find media based on what it depicts, not only its filename. |
| Work items | Retrieve to-dos, polls, contact details and GIFs. |
Search is offered in the iOS, Android, Windows, macOS and web applications. Because an answer can be generated from several source types, a user may need to open the cited message or file to verify the surrounding context before acting on it.
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What a Google Workspace connection can expose
Connecting Google Workspace expands the possible data boundary. Zenzap’s privacy policy describes access as permission-scoped, so the connection does not automatically mean unrestricted access to every Google account item. The available scope also depends on which Zenzap features are configured.
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| Google service | Data the policy says may be accessed | Examples of requested functions |
|---|---|---|
| Gmail | Messages, threads, drafts and labels within granted permissions | Find or summarize work email, extract decisions and action items, organize messages, and prepare or send an email after user approval |
| Calendar | Calendar events | Display and manage events |
| Contacts and directory | Contact and directory information | Resolve people, attendees and addresses |
| Google Meet | Meet conference information | Create Meet links and support meeting-related workflows |
| Google Drive | Files created for Zenzap or specifically selected for it | Process selected files for a requested feature |
| Google profile | Profile information allowed by the connection | Identify the connected account and resolve workspace context |
“Permission-scoped” is important operationally: an administrator or account owner should review the Google consent screen and the Zenzap feature configuration rather than assuming that every mailbox, shared drive or calendar is included.
How Zenzap says it uses connected data
Zenzap describes Google Workspace processing as feature-driven. The stated uses include finding and summarizing work messages and email threads, extracting decisions and action items, generating configured alerts, drafting and sending user-approved email, organizing messages, displaying and managing calendar events, resolving contacts and attendees, creating Meet links and processing files selected for Zenzap.
The privacy policy says Google Workspace API data is not used for advertising, retargeting, profiling, credit decisions, sale to data brokers, unrelated databases or generalized AI-model training. It also says contracted cloud or AI providers may process the data only when necessary to deliver a requested feature and are contractually prohibited from using it for their own purposes or generalized-model training.
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What that training statement does—and does not—establish
The explicit no-training language applies to Google Workspace API data. It should not be silently broadened into a promise about every category of content in every Zenzap feature. For non-Google chat data, files, media or agent interactions, check the current privacy terms and product-specific documentation for the applicable treatment. If your organization requires a contractual prohibition covering all workspace content, ask Zenzap to state that scope in writing.
How AI agents are confined to chats
Zenzap describes agents as working inside the chats where they are added. The enterprise wording is direct: an agent only has access to the chats it has been added to. Within those chats, an agent can use the available conversations, files, images and voice notes as context.
That model makes chat membership a data-access decision. Adding an agent to a broad project room can expose more information than adding it to a narrowly scoped room, even if the agent has no access elsewhere.
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Administrative controls for agent actions
| Control | Effect |
|---|---|
| Approval required | An agent must obtain approval before it performs a configured action. |
| Read-only restriction | The agent can inspect permitted content but cannot execute the restricted action. |
| Action blocked | The administrator prevents the tool action entirely. |
| Audit trail | Administrators can review agent activity and connected tools. |
| One-click removal | An administrator can remove an agent from a chat. |
Enterprise administrators can view agents and connected tools across the organization. Use approval or read-only mode for agents that touch mail, calendars, files or external actions, and reserve unrestricted actions for workflows with a clear owner and rollback plan.
Where Zenzap processing takes place
Zenzap’s third-party processor list, last updated July 14, 2026, names Amazon Web Services EMEA SARL for data storage and processing and Anthropic PBC for AI-based features. The list says the processing region is the United States or the European Union according to the data-storage region selected for the account.
The privacy policy also says personal data may be stored in the EU or US and transferred to service providers in other countries with safeguards. A regional setting therefore helps determine the primary storage and processing location, but it does not mean that every support, infrastructure or service-provider transfer remains inside that region.
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Encryption and the security model
Zenzap is not end-to-end encrypted
Zenzap’s resource hub answers the end-to-end-encryption question explicitly: “No – intentionally.” In an end-to-end encrypted system, the provider generally cannot read message content because only participants hold the decryption keys. Zenzap instead uses company-level encryption and retains the ability to operate search, AI features, permissions, exports and administrative controls over workspace data.
That distinction matters when evaluating confidential conversations. Encryption in transit and at rest can protect against interception or unauthorized storage access, but it does not prevent an authorized Zenzap service process, configured AI feature or permitted administrator from handling content needed to provide the product.
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- Company-level encryption.
- Access revocation.
- File-download permissions.
- Data-export requests.
- Audit trails.
- Data-loss-prevention controls.
- Administrative access controls.
Zenzap’s secure-chat material lists GDPR, HIPAA, SOC2, CCPA and ISO 27001 compliance claims. Those labels are not the same as seeing an audit report or a certificate scope. A regulated buyer should request the current report, certificate, covered services, assessment period, exceptions and data-processing terms before relying on a claim for a particular workload.
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Retention, revocation and deletion
You have several ways to stop an integration or remove access. Revocation prevents future authorized access; it does not necessarily erase copies that were already retained under the service’s retention process.
- Disconnect Google in Zenzap. Use the connection controls in your Zenzap account to disconnect the Google Workspace integration.
- Revoke the Google permission. In your Google Account’s third-party app permissions, remove Zenzap’s access. This is an independent backstop if the Zenzap connection is no longer wanted.
- Request deletion when necessary. Send a deletion request to [email protected], identifying the account or workspace and the data you want removed.
- Remove agents and tools. Administrators can remove an agent from a chat and adjust approval, read-only or blocked-action settings.
- Request an export. If you need a record before deletion or migration, use the available data-export request process.
Zenzap says retained Google data is deleted according to its documented schedule after revocation or a deletion request, except where legal retention applies. The materials do not state a universal number of days for every data type, so obtain the applicable schedule for your account and confirm whether backups, audit records or legal holds are treated differently.
Employee departure scenario
The resource hub says an administrator can instantly revoke an employee’s access while messages and files remain in the company workspace. That is different from deleting the workspace’s historical content: access is removed, while organizational records remain available under the company’s retention and permission rules.
A practical privacy review before enabling AI
- List the chats, channels and shared files that the AI feature actually needs.
- Keep personal, legal, health or highly restricted discussions out of rooms where an agent is added unless the processing has been approved.
- Review Google consent scopes and avoid selecting broad Drive or Gmail access when a narrower feature will work.
- Choose the account’s EU or US storage region to match your organization’s data-residency requirements.
- Set agents to approval-required or read-only mode before testing automated actions.
- Confirm who can view audit trails, connected tools, exports and downloaded files.
- Document the offboarding procedure: disconnect the integration, revoke Google permissions, remove agents and submit deletion requests where required.
- Ask for current compliance evidence rather than treating a marketing label as proof of a specific control.
How to compare Zenzap with another work-chat AI
A meaningful comparison should examine the complete data lifecycle, not just whether a product has a chat window. Use the same questions for each vendor:
| Comparison axis | Questions to ask |
|---|---|
| Content scope | Which messages, transcriptions, files, images, videos, tasks and external connectors can the AI retrieve? |
| Connector permissions | Are Gmail, Calendar, Contacts, Meet and Drive scopes optional, granular and visible to administrators? |
| Model use | Is customer content used for advertising, profiling, provider improvement or generalized model training? Does the restriction cover every data type or only a named API? |
| Processors and regions | Which cloud and AI processors are named, and where are storage, inference, support and backups located? |
| Encryption | Is the service end-to-end encrypted, or does the provider retain operational access under company-level encryption? |
| Agent governance | Can administrators limit agents by chat, require approval, force read-only operation, block tools and inspect an audit trail? |
| Lifecycle controls | How are access revocation, employee offboarding, deletion, exports, backups and legal retention handled? |
Bottom line for teams handling sensitive information
Zenzap can expose substantially more than ordinary chat text: transcribed audio, office-document contents, image text, visual media, tasks, polls and contacts are all within the stated AI Search scope. A Google Workspace connection can add permission-scoped mail, calendar, directory, Meet and selected Drive information. Zenzap says that connected Google data supports requested features and is not used for advertising or generalized model training, while its agents are limited to chats where they are added.
The central security qualification is that Zenzap is not end-to-end encrypted. Evaluate it as a centrally managed, encrypted workspace with permissions, auditability and revocation—not as a system where the provider is technically unable to access content. Before deployment, align connector scopes, agent approvals, regional settings, retention terms and compliance evidence with the sensitivity of the information your organization plans to place in the service.
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