OpenAI is testing a new ChatGPT capability called Writing Style that learns how you write by ingesting samples pulled directly from your connected personal apps — most notably Gmail and Google Drive. On the surface this is a personalization feature. From a defender's chair, it is something else entirely: a sanctioned pipeline that moves highly sensitive mailbox and document content into a third-party AI platform, keyed on OAuth consent grants that individual users can approve with two clicks and zero security team involvement.
There are two distinct risk tracks here, and both deserve your attention this quarter, not next:
- Data governance exposure. Every connected app expands the corpus of corporate data — contracts, credentials pasted into email, HR matters, incident details — flowing to an external AI service under consumer-grade consent flows. If users connect work accounts, you have an unsanctioned data processor handling regulated data (HIPAA, PCI-DSS scope data included) with no BAA, no DLP coverage, and no audit trail in your SIEM unless you built one.
- Adversary-enablement. A model trained to faithfully replicate a user's tone, cadence, sign-offs, and internal vocabulary is a spear-phishing force multiplier. Business email compromise already costs organizations billions annually; an attacker who gains access to a victim's AI session — or who simply abuses these connectors after compromising an account — can generate lures that defeat both technical filters and the 'I know how my CFO writes' instinct that still catches many BEC attempts today.
This is not a vulnerability with a CVE and a patch. It is a feature-as-attack-surface problem, and the remediation is governance, detection, and hard control over OAuth consent.
Technical Analysis
What the feature does
Per the reporting, ChatGPT's Writing Style feature analyzes writing samples retrieved through OpenAI's existing connector framework — the same integration layer that lets ChatGPT read Gmail, Google Drive, Google Calendar, and other SaaS data sources. The user authenticates via OAuth 2.0, grants OpenAI's application a set of delegated scopes (e.g., gmail.readonly, drive.readonly), and ChatGPT then accesses that data server-side to build a style profile.
Key architectural points defenders must internalize:
- Access is cloud-to-cloud. OpenAI's servers talk to Google's API directly. There is no endpoint process to EDR, no local file read to sensor. Your visibility is almost entirely in SaaS audit logs (Google Workspace token/audit events, Microsoft Entra sign-in and consent logs) — telemetry most SOCs still don't ingest.
- Consent is user-driven by default. In both Google Workspace and Microsoft Entra ID, default configurations allow end users to consent to third-party apps requesting low-risk scopes — and 'read your mail' is frequently classified in ways that slip past admin review.
- Tokens persist. An OAuth grant survives password changes unless explicitly revoked, and refresh tokens let the third party re-access data silently.
Attack chain from a defender's perspective
The abuse scenarios we game out with clients in purple-team exercises:
- Consent phishing (direct): An attacker doesn't even need malware. A convincing prompt can push a target to connect an attacker-registered app — or their own account to ChatGPT on a shared/compromised device — establishing durable mailbox read access that looks like legitimate API traffic. This is the same TTP family as the OAuth consent-phishing campaigns Microsoft has tracked for years (MITRE ATT&CK T1550.001, T1528), now with a mainstream, trusted brand as the lure vehicle.
- Session compromise → style theft: A hijacked ChatGPT session (stolen session token, shared account, unmanaged device) exposes both the connected data and the derived writing-style profile — a ready-made impersonation kit for follow-on BEC.
- Insider/sanctioned misuse: An employee connects the corporate mailbox 'to draft emails faster,' and regulated data now lives in a platform outside your data-processing agreements.
Exploitation status
There is no CVE associated with this news and no indication of a flaw in OpenAI's implementation — this is intended functionality. The 'exploitation' is the routine, at-scale abuse of OAuth consent and third-party AI connectors that we already see in the wild (consent phishing, illicit grant persistence). Treat it as an active, ongoing threat pattern applied to a newly high-value target, not a theoretical one.
Detection & Response
The observable surfaces that matter: OAuth consent/grant events in Entra ID and Google Workspace, token issuance with mail/drive scopes to AI vendor apps, and anomalous cloud-to-cloud API access to mailboxes. Endpoint rules for this threat are largely noise — accurate silence is better than inaccurate noise — so the rules below concentrate where the signal actually lives.
---
title: User Consent Granted to AI or LLM Application in Entra ID
id: 3f8a2c71-9b4d-4e6a-b1c2-7d5e9f0a3b41
status: experimental
description: Detects end-user OAuth consent grants to AI/LLM vendor applications (e.g., ChatGPT/OpenAI connectors), which can grant delegated read access to corporate mail and files outside sanctioned data governance.
references:
- https://www.bleepingcomputer.com/news/artificial-intelligence/chatgpt-can-now-connect-to-your-personal-apps-to-mimic-writing-style/
- https://attack.mitre.org/techniques/T1550/001/
author: Security Arsenal
date: 2026/03/09
tags:
- attack.credential_access
- attack.t1550.001
logsource:
product: azure
service: auditlogs
detection:
selection_operation:
OperationName|contains:
- 'Consent to application'
selection_app:
TargetResources|contains:
- 'OpenAI'
- 'ChatGPT'
- 'Anthropic'
- 'Claude'
- 'Perplexity'
condition: selection_operation and selection_app
falsepositives:
- Sanctioned enterprise deployments of AI assistants approved through change control
level: high
---
title: Google Workspace OAuth Token Granted with Mail or Drive Read Scope to Third-Party AI App
id: 8c1d4e92-5a6f-4b38-9d0e-2c7b1a4f6e85
status: experimental
description: Detects OAuth token authorization events in Google Workspace where a third-party AI application is granted sensitive read scopes (Gmail, Drive), consistent with ChatGPT connector and Writing Style feature setup.
references:
- https://www.bleepingcomputer.com/news/artificial-intelligence/chatgpt-can-now-connect-to-your-personal-apps-to-mimic-writing-style/
- https://attack.mitre.org/techniques/T1528/
author: Security Arsenal
date: 2026/03/09
tags:
- attack.credential_access
- attack.collection
- attack.t1528
logsource:
product: google_workspace
service: token
detection:
selection_event:
event_name: 'authorize'
selection_scope:
scope|contains:
- 'gmail.readonly'
- 'mail.google.com'
- 'drive.readonly'
- 'drive'
selection_app:
app_name|contains:
- 'ChatGPT'
- 'OpenAI'
- 'Claude'
- 'Perplexity'
condition: selection_event and selection_scope and selection_app
falsepositives:
- Approved AI integrations documented under a signed data processing agreement
level: high
// Hunt 1: Entra consent and service-principal activity for AI vendor apps (ingested via Sentinel Azure AD connector)
AuditLogs
| where TimeGenerated > ago(14d)
| where OperationName has_any ("Consent to application", "Add service principal", "Add delegated permission grant")
| extend InitiatedByUser = tostring(parse_json(InitiatedBy).user.userPrincipalName)
| mv-expand TargetResources
| extend TargetName = tostring(parse_json(TargetResources).displayName)
| where TargetName has_any ("OpenAI", "ChatGPT", "Anthropic", "Claude", "Perplexity")
| project TimeGenerated, OperationName, InitiatedByUser, TargetName, Result, CorrelationId
| order by TimeGenerated desc;
// Hunt 2: Google Workspace token/audit events ingested via Syslog/CEF — OAuth grants with sensitive scopes
Syslog
| where TimeGenerated > ago(14d)
| where SyslogMessage has_any ("gmail.readonly", "mail.google.com", "drive.readonly")
| where SyslogMessage has_any ("ChatGPT", "OpenAI", "Anthropic", "Claude", "Perplexity")
| extend Event = extract(@'"event_name"\s*:\s*"([^"]+)"', 1, SyslogMessage)
| extend Actor = extract(@'"actor"[^}]*"email"\s*:\s*"([^"]+)"', 1, SyslogMessage)
| project TimeGenerated, Computer, Event, Actor, SyslogMessage
| order by TimeGenerated desc;
// Hunt 3: Endpoint fallback — non-browser processes talking to ChatGPT, which may indicate desktop app connectors or token tooling
DeviceNetworkEvents
| where TimeGenerated > ago(7d)
| where RemoteUrl has_any ("chatgpt.com", "auth.openai.com", "auth0.openai.com")
| where InitiatingProcessFileName !in~ ("msedge.exe", "chrome.exe", "firefox.exe", "brave.exe", "safari.exe")
| summarize Connections = count(), RemoteUrls = make_set(RemoteUrl, 10) by DeviceName, InitiatingProcessFileName, InitiatingProcessCommandLine
| order by Connections desc;
-- Hunt: endpoints with ChatGPT desktop app installed and non-browser connections to OpenAI auth/API endpoints
-- Useful for scoping which users have local clients capable of connector setup.
LET installs = SELECT Name, DisplayVersion, InstallLocation
FROM Artifact.Windows.Registry.Uninstall()
WHERE Name =~ '(?i)chatgpt|openai'
SELECT * FROM installs
-- Correlate with live outbound connections to OpenAI infrastructure from non-browser processes
LET conns = SELECT Pid, Name, Path, RemoteAddr, RemotePort, Status
FROM netstat()
WHERE RemoteAddr =~ '.' AND Status =~ 'ESTAB'
LET procs = SELECT Pid, Name, Exe, CommandLine, Username
FROM pslist()
WHERE Name !~ '(?i)msedge|chrome|firefox|brave'
SELECT p.Pid AS Pid, p.Name AS ProcessName, p.Exe AS BinaryPath,
p.CommandLine AS CommandLine, p.Username AS Username,
c.RemoteAddr AS RemoteAddr, c.RemotePort AS RemotePort
FROM procs p JOIN conns c ON p.Pid = c.Pid
WHERE c.RemotePort = 443
Run the VQL as a hunt across your fleet, then pivot each hit's RemoteAddr through DNS/passive DNS to confirm OpenAI-owned infrastructure before escalating — plenty of SaaS and CDN traffic shares 443.
Remediation
This is a governance-first fix. Concrete steps, in priority order:
1. Inventory and revoke existing grants (do this today).
# Requires: Install-Module Microsoft.Graph -Scope CurrentUser
# Connect with AuditLog read and consent management rights
Connect-MgGraph -Scopes "Directory.Read.All","DelegatedPermissionGrant.ReadWrite.All","Policy.ReadWrite.Authorization"
# Enumerate all delegated permission grants and flag AI vendor service principals
$grants = Get-MgOauth2PermissionGrant -All
$aiApps = @("OpenAI","ChatGPT","Anthropic","Claude","Perplexity")
foreach ($g in $grants) {
$sp = Get-MgServicePrincipal -ServicePrincipalId $g.ClientId
if ($aiApps | Where-Object { $sp.DisplayName -match $_ }) {
[PSCustomObject]@{
App = $sp.DisplayName
AppId = $sp.AppId
Scope = $g.Scope
ConsentType= $g.ConsentType
GrantId = $g.Id
}
}
}
# REVOKE an unsanctioned grant (uncomment after review):
# Remove-MgOauth2PermissionGrant -OAuth2PermissionGrantId <GrantId>
# HARDEN: block end-user consent entirely (forces admin approval workflow)
Update-MgPolicyAuthorizationPolicy -BodyParameter @{
defaultUserRolePermissions = @{
permissionGrantPoliciesAssigned = @() # empty = user consent disabled
}
}
# Then enable the admin consent request workflow in Entra portal:
# Identity > Applications > Enterprise applications > Consent and permissions > Admin consent settings
# Google Workspace: list third-party apps holding mail/drive scopes per user (requires admin SDK + gam or GAMADV-X)
gam all users print tokens fields clientid,displaytext,scopes > oauth_grants.csv
# Find AI vendor grants with sensitive scopes
grep -iE "chatgpt|openai|anthropic|claude|perplexity" oauth_grants.csv | grep -iE "gmail|mail.google|drive"
# Revoke a specific grant for a specific user (after review):
# gam user <user@domain.com> delete token clientid <CLIENT_ID>
# HARDEN: restrict API access so only allowlisted apps can request high-risk scopes
# Admin console > Security > Access and data control > API controls > App access control
# Set ChatGPT/OpenAI apps to "Blocked" unless you have a signed DPA/BAA on file
2. Enforce consent governance. In Entra ID, disable user consent and enable the admin consent workflow so every grant routes through review. In Google Workspace, use App access control to block third-party apps requesting Gmail/Drive scopes by default, then explicitly trust only vetted applications. Verify the policy change took effect — the script above reports it, but test with a pilot user.
3. Contract before connect. If your organization wants this capability, require OpenAI's Enterprise/Edu tier with a signed data processing agreement (and BAA for HIPAA-covered data), disable connectors for regulated mailboxes/organizational units, and document the decision. OpenAI's connector documentation is at https://help.openai.com/en/articles/11487775-connectors-in-chatgpt — review the current data-use and retention terms before approving anything.
4. Extend DLP and CASB coverage. Add AI vendor domains and OAuth app IDs to your CASB/SSP M policy. Alert on any new app grant carrying mail.read, Mail.Read, gmail.readonly, or drive scopes tenant-wide — not just for known AI vendors, since consent-phishing apps impersonate legitimate brands.
5. Update your BEC playbook. Style-mimicry tooling raises the floor on phishing quality. Retrain users that 'it sounds exactly like them' is no longer a trust signal; enforce out-of-band verification for payment and credential requests regardless of prose quality; and ensure your phishing takedown and mailbox-forensics procedures account for attacker-held OAuth tokens (revoke grants, not just passwords, during account compromise response — refresh tokens survive resets).
6. Logging coverage gap check. Confirm your SIEM ingests Entra AuditLogs and Google Workspace token/drive/login audit streams. In our MDR practice, consent-grant telemetry is missing in a majority of new client onboardings — you cannot detect what you never collect.
Executive Takeaways
- The feature is opt-in; the risk is opt-out. Users will enable this for convenience. Default-deny on third-party OAuth consent is the only durable control.
- No CVE, no patch — this is attack surface created by design. Treat AI connectors like any other third-party integration: DPA/BAA, scope review, logging, and revocation procedures.
- Style mimicry degrades your last BEC defense layer. Compensate with process controls (out-of-band verification), not prose heuristics.
- Token revocation must be in your IR runbooks. Account takeover response that resets passwords but leaves OAuth refresh tokens intact leaves the door open.
Related Resources
Security Arsenal Penetration Testing Services AlertMonitor Platform Book a SOC Assessment vulnerability-management Intel Hub
Is your security operations ready?
Get a free SOC assessment or see how AlertMonitor cuts through alert noise with automated triage.