Enterprise AI notetakers: Complete security & compliance guide for large organizations
April 22
TL;DR: Enterprise AI notetakers fail compliance reviews for three reasons: shadow AI bypassing IT oversight, stored audio files creating data liability, and missing AI training opt-outs that expose proprietary research. Secure architecture processes audio in real time and deletes it immediately, keeps no visible bot in sensitive calls, and gives IT centralized SSO, RBAC, and org-wide retention controls. Granola earned SOC 2 Type 2 certification in July 2025, defaults to org-wide AI training opt-out on Enterprise, and stores no audio after transcription. EU data residency isn't supported yet.
Most teams obsess over how an AI notetaker summarizes calls while ignoring the risks of storing customer audio on third-party servers. IT teams frequently discover during audits unapproved AI tools that capture sensitive customer data outside enterprise security controls. That shadow AI creates real participant trust exposure that surfaces during procurement reviews.
This guide covers every security and compliance criterion that matters when deploying an enterprise AI notetaker: from SSO to data residency, AI model training opt-outs, and the architectural difference between tools that store audio and tools that delete it immediately.
Enterprise AI notetaker evaluation checklist
Before evaluating any AI notetaker for enterprise deployment, answer three questions: Is this tool already running in your organization without IT approval? Does it store audio files? Does your vendor contract explicitly prohibit AI model training on your data?
Data protection: Enterprise vs. personal
Individual use of consumer-grade AI notetakers creates compliance exposure the moment a team member joins a customer research call. Shadow IT increases data leakage risk by moving sensitive information outside enterprise security controls, and as Proofpoint's shadow IT threat reference details, unauthorized tools make it nearly impossible to audit data flows. The fix is deploying a single enterprise-grade AI notetaker with centralized provisioning, rather than letting each team member choose their own.
Compliance baseline requirements
A compliant deployment needs four baseline requirements before IT and Legal sign off: SSO authentication via SAML, defined data retention and auto-deletion policies, a contractual AI training opt-out, and SOC 2 Type 2 certification. Granola's security and compliance documentation covers all four, with the architecture adding a fifth layer: audio deletion immediately after transcription removes the most sensitive data artifact from the compliance surface entirely.
Admin controls on Enterprise plans
Granola's Enterprise plan gives admins org-wide controls that personal and Business accounts don't provide.
These controls are detailed in Granola's privacy and security FAQs, which your IT team can reference during procurement.
Enterprise login and permission controls
Provisioning hundreds of users manually is not a deployment strategy. Enterprise login controls need to handle scale automatically, revoke access instantly when employees leave, and give admins clear visibility into who has access to what.
SAML and OAuth integration
Granola supports Google OAuth and Microsoft authentication on all plans. Single Sign-On (SSO) via SAML is available for organizations requiring centralized identity management.
SAML-based SSO means every employee authenticates through your existing identity provider. IT controls session policies, MFA enforcement, and access revocation from a single place. No separate Granola password means one fewer credential for a phishing attack to target. Contact our sales team to configure SSO for your organization.
Secure research data with RBAC
Role-Based Access Control (RBAC) defines what each user can do based on their organizational role. On Granola's Enterprise plan, admins control meeting link sharing at the organization level and manage folder access for shared research repositories.
In practice, a product team can create a shared folder for customer discovery interviews that's visible to product, design, and engineering but not accessible to the entire company, keeping sensitive research within the right group. IT can configure these sharing restrictions org-wide rather than relying on individual users to remember the correct settings.
Certifications for data security & trust
Third-party certifications exist because vendor self-attestation isn't enough. IT evaluators need independent verification that controls are actually operating as described.
Protecting research data with SOC 2 Type 2
SOC 2 Type 2 is an independent audit that evaluates security controls over an extended period. According to Drata's SOC 2 guide, this type of certification demonstrates that an organization's security measures are operating effectively on an ongoing basis, not just at a single point in time.
Granola achieved SOC 2 Type 2 certification in July 2025. Our architecture deletes audio immediately after transcription, meaning less sensitive data to protect and fewer controls to audit.
The full SOC 2 report and subprocessor list are available through the Trust Center. Click "Request Access" in the top right corner to get started.
"Easy to set up and runs quietly in the background. Accurate discussion summaries with the backup transcript available." - Joe M. on G2
GDPR
Granola's Data Processing Addendum incorporates EU and UK Standard Contractual Clauses for EU-based enterprises. Because Granola deletes audio immediately after transcription, there are no audio files to manage: any deletion request applies to transcript text and enhanced notes only. Contact the Granola team to configure specific retention settings for your workspace. Consult your legal team on your organization's specific GDPR obligations.
HIPAA
Granola is not currently HIPAA compliant and can't sign Business Associate Agreements (BAAs). Don't use Granola to store or process Protected Health Information (PHI). Granola is evaluating HIPAA support for a future release. If your organization operates in healthcare, verify BAA availability with your compliance team before deploying any AI notetaker.
Ensuring AI notetaker compliance & trust
Compliance certifications have audit cycles and expiration dates. The SOC 2 Type 2 report is current when you evaluate a vendor, but it may not reflect practices twelve months later. Build a recurring review into your vendor management: request updated SOC 2 reports annually and verify that DPAs reflect current Standard Contractual Clauses. Granola's security standards documentation shows current compliance status, but always verify directly with Granola for the most recent certifications.
Protecting research data with location controls
Data residency determines where your customer conversation data physically sits. For multinational enterprises, this is often a legal requirement, not a preference.
Regional data storage mandates
Regulated industries frequently require data to remain within specific geographic boundaries. Financial services firms in the EU, UK healthcare organizations, and government contractors all face location requirements that many SaaS vendors can't satisfy out of the box. For research teams, the practical implication is direct: if your participants are EU residents, the data you collect about them may be subject to geographic processing requirements your DPA needs to address.
EU data residency compliance
Granola currently stores all data on Amazon Web Services (AWS) servers in the United States, as documented in our security and privacy FAQs. EU data residency isn't available yet. Granola has committed to sharing updates if this changes. If EU data residency is a hard requirement for your organization, contact our sales team to verify current options before making a deployment decision.
Cross-border data transfers
Granola's DPA incorporates EU and UK Standard Contractual Clauses for transfers from the EU and UK to the US. If your organization deploys Granola for EU-based team members, your legal and compliance teams should review the DPA to confirm it meets your organization's requirements before activating accounts.
Setting up enterprise AI notetaker infrastructure
Understanding the deployment model of your AI notetaker determines both its security posture and its practical capabilities.
Cloud deployment security risks
Cloud-hosted AI notetakers typically transmit audio or transcription data to remote servers for processing. The primary risks are data interception in transit, unauthorized access to stored audio files, and vendor breaches exposing sensitive customer conversations. Standard mitigations include TLS encryption in transit, encryption at rest, and SOC 2 Type 2 certification, verifying controls have operated effectively over time. The principle is data minimization: hold only what you need, for only as long as you need it. Tools that store audio indefinitely create a larger compliance surface than tools that delete audio immediately.
How the hybrid capture architecture works
Granola's architecture is effectively hybrid: audio capture and initial processing happen at the device level, then notes and transcripts are enhanced using cloud AI services with contractual prohibitions on model training, as confirmed in Granola's security documentation. This offers three meaningful advantages over fully cloud-dependent tools.
- No visible bot in meetings: Capture happens through device system audio, not through a bot joining as a meeting participant.
- Reduced data transmission: Raw audio isn't transmitted or stored at the platform level.
- Better participant experience: No platform-level recording announcement because no platform-level recording is triggered.
Ensure ethical team research practices
Security controls are only as strong as the team practices around them. The best SSO configuration and most thorough DPA won't protect your organization if users share meeting notes to personal accounts or admins never configure the retention policies the Enterprise plan provides.
Managing enterprise licenses
Granola's Enterprise plan provides consolidated billing and admin controls that personal and Business plans don't offer. Admins can see usage across the organization, allocate seats, and manage accounts from a single interface. Centralized billing also makes license hygiene practical: identifying unused seats for employees who have moved on prevents access control failures from accumulating unnoticed.
Tracking team usage
Granola's Enterprise plan includes usage analytics, giving admins visibility into adoption and activity across the organization. Granola is actively developing additional access logging capabilities. For specific audit log requirements, including the types of events that need logging for your compliance framework, contact the sales team for a current feature list and roadmap timeline before finalizing procurement.
"With Granola I don't have to worry anymore about taking meeting notes, I can just write down things I really care about and let Granola take care of the rest. Love that I can easily share my notes with my colleagues as well, and that we can all chat with the meeting transcript so everyone can see the full context of the meeting, even if they weren't there." - Jess M. on G2
Data retention rules
Many AI notetakers retain notes and transcripts indefinitely by default unless admins configure deletion policies. That is a liability posture, not a compliance posture. Data you no longer need is data that can be breached, misused, or improperly accessed.
Granola's Enterprise plan includes org-wide auto-deletion periods for transcripts. Admins configure how long meeting data is retained, and the system enforces that policy automatically.
Future-proofing your research data
Before committing to any enterprise AI notetaker, confirm export options and formats. Granola integrates with Notion and CRMs, including HubSpot, Affinity, and Attio, on Business and Enterprise plans, as shown in the Zapier integration overview. Research findings that flow into Notion or your CRM survive a tool change.
Onboarding and offboarding users
The knowledge retention problem has two sides: capturing what departing team members know, and making it accessible to new ones. Research captured in Granola's shared team folders belongs to the organization, not the individual user. New team members can query past interviews for context on customer problems that were documented before they joined.
"we can all chat with the meeting transcript so everyone can see the full context of the meeting, even if they weren't there." - Jess M. on G2
Ethical data handling & privacy for research
This is where compliance requirements and participant experience intersect. The architectural choices a vendor makes about audio handling determine both the security risk profile and the quality of the conversations you can have.
How AI notetakers encrypt data
Standard encryption for AI notetakers covers two scenarios: encryption for data in transit between your device and servers, and encryption at rest for stored transcripts and notes. Both are necessary baselines, but neither is sufficient alone. A tool that encrypts data at rest but stores audio files indefinitely still carries a larger compliance surface than a tool that deletes audio immediately. Encryption protects against unauthorized access. Deletion eliminates the attack surface. Granola's security standards documentation provides current details.
Secure audio data removal
The most consequential security decision an AI notetaker vendor makes is what happens to audio after transcription. Tools that store audio files create persistent data liability: every audio file potentially contains customer PII, proprietary business information, and sensitive research that could be exposed in a breach or required in litigation.
Granola's approach, as documented in Granola's security documentation: Granola captures audio from your device, transcribes it in real time, and deletes it. Granola doesn't store audio files anywhere in its systems after transcription.
The trade-off is honest: no stored audio means no audio playback. For most customer research workflows, a full transcript with enhanced notes is sufficient, and the privacy benefit is significant.
"The AI Summary templates. Being able to choose what type of meeting it is and the notes being summarized accordingly. Also, the fact that Granola does not need to join your meeting." - Verified user on G2
Controlling third-party AI data
Most enterprise AI notetakers use third-party AI providers to process transcripts and generate summaries. The critical question is whether those providers can use your data to train models.
Granola's security documentation confirms that third-party AI providers are contractually prohibited from training on your data. On Granola's Enterprise plan, model training opt-out defaults to on for the entire organization. Admins don't need to configure this individually per user. It applies universally as soon as the Enterprise plan is active.
Granola's Data Processing Addendum, available in the help center, incorporates EU and UK Standard Contractual Clauses.
Ensuring secure participant consent
The visible meeting bot creates a participant experience problem that device audio capture avoids entirely.
Granola's device audio capture approach means the meeting platform doesn't see a third-party tool join the call. There's no "Granola Bot" in the participant list and no platform-level recording announcement. The person conducting the meeting stays in control of how they communicate the note-taking process to participants.
Securing AI notetakers: Essential checklist
Use this checklist during vendor evaluation to identify gaps before they become deployment problems.
Data privacy questions to ask vendors
Before approving any AI notetaker for enterprise deployment, get clear answers to these questions:
Have your legal team verify these items in any AI notetaker DPA before procurement.
- Who owns the data generated during meetings? Confirm ownership belongs to the customer, not the vendor.
- Can the vendor use your data to train AI models? Get a written prohibition in the contract, not just a policy statement.
- What data is retained after a meeting ends? Audio files, transcripts, enhanced notes, and metadata each carry different risk profiles.
- How long is data retained by default, and can you configure shorter periods?
- Where is data stored, and does that location satisfy your regulatory requirements?
- What happens to your data if you cancel your contract?
Granola's security and privacy FAQ answers each of these directly, which is a good starting point for building your vendor security questionnaire response.
Key security artifacts to request
Request these documents from any AI notetaker vendor before procurement:
- SOC 2 Type 2 report (full report, not just a certificate)
- Data Processing Addendum incorporating current SCCs
- Subprocessor list with disclosure policy for new additions
- Penetration test summary from the most recent third-party assessment
- Security architecture documentation covering encryption standards and data flow
- Completed vendor security questionnaire if your organization uses a standard format
- Incident response procedure and breach notification timeline
Granola's SOC 2 report and subprocessor list are available through the Trust Center. The DPA is available in the Help Center. For penetration test summaries and custom questionnaires, contact the sales team.
Compliance roadmap
No vendor satisfies every compliance requirement at launch. The useful question isn't "does this vendor have everything we need today?" but "does their compliance roadmap align with our requirements, and can we verify progress?"
For HIPAA and EU data residency, verify the current status directly with Granola's sales team before committing to a deployment timeline.
"I find Granola incredibly helpful and intuitive for taking notes in meetings. The setup process is straightforward with easy app download and minimal configuration. I appreciate being able to customize note formats and access full transcripts for reference." - Catherine S. on G2
Spotting compliance red flags
These red flags should slow down or stop an enterprise procurement:
- Audio stored indefinitely with no configurable deletion policy.
- AI model training not explicitly prohibited in the contract. A privacy policy statement is not sufficient.
- No SOC 2 Type 2 report available for review, or only a Type 1 report.
- Subprocessor list unavailable or not kept current.
- No incident disclosure history, which often indicates security events are not being transparently reported.
The most important signal is whether a vendor can provide clear, documented answers to the questions above. A vendor that hedges or can't produce current compliance documentation isn't ready for enterprise deployment, regardless of product features.
Try Granola for free. Download the Mac, Windows, or iOS app and run your next meeting to see bot-free capture in action. For Enterprise features including SSO and org-wide admin controls, contact Granola's sales team.
FAQs
How long does enterprise AI notetaker approval typically take?
Enterprise software approvals at mid-to-large organizations can take four to twelve weeks when all security artifacts (SOC 2 report, DPA, subprocessor list, completed security questionnaire) are provided upfront. Having our Trust Center documentation and DPA ready at the start of the review shortens the timeline considerably.
What is the difference between SOC 2 Type 1 and SOC 2 Type 2?
While SOC 2 Type 1 provides a point-in-time assessment of security controls, SOC 2 Type 2 tests whether those controls operated effectively over a sustained review period of six to twelve months. Enterprise buyers should require Type 2, as it provides significantly stronger assurance that controls are not just documented but actually working.
Can I control where my AI notetaker stores data?
Granola currently stores all data on AWS servers in the United States, as noted in Granola's security and privacy FAQs. EU data residency isn't available yet. Organizations with strict data sovereignty requirements should contact Granola's sales team to discuss current options and the roadmap for additional regions.
How do state-by-state consent laws apply to AI notetakers?
Recording consent laws vary by jurisdiction, and Granola can't advise on your specific legal obligations. If your team conducts interviews or research calls across multiple US states, consult qualified legal counsel to understand what disclosure practices apply to your situation.
On the product side: Granola transcribes device audio without joining as a visible meeting participant, so there's no platform-level recording announcement. How you handle disclosure to meeting participants is your responsibility. Your legal or compliance team can help you build the right consent practices into your workflows.
What is Granola's data deletion and retention policy?
Granola's Enterprise plan includes org-wide auto-deletion periods that IT can configure to match your organization's data lifecycle policy. Contact Granola to verify current retention options and configure settings for your contract terms.
Key terms glossary
SOC 2 Type 2: An independent security audit testing the operational effectiveness of a vendor's controls over a six-to-twelve-month review period. The standard for enterprise vendor evaluation.
SAML: Security Assertion Markup Language. The protocol enables SSO by allowing your identity provider to authenticate users across connected applications.
RBAC: Role-Based Access Control. A permission model that restricts what users can do based on their defined organizational role.
DPA: Data Processing Addendum. The contract between a data controller (your organization) and a data processor (your vendor) that defines how personal data is handled, stored, and protected.