Google Workspace
WSP-GOOG
- OAuth app grants
- Drive + Gmail scopes
- Admin audit signals
Discover unapproved AI tools, identify sensitive data exposure, and give every department a safe path to use AI.
WSP-GOOG
WSP-M365
Most teams don't need a giant rollout on day one. They need to know which AI tools are connected, what those tools can access, who approved them, and what to fix first.
Employees can approve apps that read mail, calendars, files, or profile data before security ever sees the vendor.
A normal-looking assistant can quietly receive broad delegated permissions across Workspace or Microsoft 365.
Customer data, contracts, source code, and internal docs can move into AI tools outside approved review paths.
IT, security, legal, and operations all care, but nobody has a clear inventory or a prioritized fix list.
A command console for shadow AI risk — built for the buyer who needs a credible AI access report this week.
Find AI tools, coding assistants, agents, OAuth apps, and connected apps across Workspace and Microsoft 365.
Rank risk by provider, user count, data scope, tool category, vendor posture, and policy status.
Mark tools approved, under review, or blocked. Give teams a clear policy trail instead of a spreadsheet.
Export a report leadership, clients, auditors, and cyber insurers can understand without a six-month platform rollout.
ShadowGuard isn't a brochure. It's a command console for risk, evidence, and policy decisions — built for operators.
EVT-10291 · 2026-05-12 14:31 CST
Every finding ties back to a timestamped artifact: source system, tool domain, user context, and policy reference.
3 pending · 1 escalated · POL-021
Approve, approve with controls, or deny — with one click and a complete policy trail.
WSP-GOOG + WSP-M365
Repeat scans surface OAuth grants and connected apps so new AI usage can move into review.
The first market isn't the Fortune 100 — it's the buyer who can't spend six figures to learn what AI tools their team is using.
Run a repeatable Shadow AI scan across client tenants.
Show AI usage governance before the auditor asks.
Find client-data exposure through unreviewed AI apps.
Identify risky AI access before sensitive data leaves approved systems.
For teams that need more than a scan, ShadowGuard packages inventory, risk review, controls, evidence gaps, and final reporting into a practical assessment workflow.
SMBs and lean operators using AI without a formal inventory.
A practical view of current AI use, ranked risk, missing controls, and the next actions leadership can approve.
Family offices and operators overseeing AI adoption across portfolio companies or operating entities.
A board-ready oversight view of where AI is being used, which use cases create exposure, and what proof is missing.
Advisory, legal, accounting, healthcare, and security teams that need proof artifacts for clients or leadership.
A controlled governance deliverable that shows AI usage, readiness, evidence gaps, and remediation status.
ShadowGuard assessment outputs support readiness review and governance evidence. They are not legal advice, certification, or a guarantee of compliance.
Provider authorization, scoped access, token protection, and honest compliance language.
Discovery is designed to inspect authorization data without modifying the provider environment.
Provider tokens are encrypted and never appear in logs, audit events, or API responses.
Built for teams working toward SOC 2, HIPAA-aware, GDPR-aware, NIST AI RMF, and ISO 42001.
Three pillars, one delivered artifact: a prioritized Shadow AI risk report you can hand to a CISO, an auditor, or a client.
Shadow AI Risk Report
Plain-English overview of detected AI access, highest-risk grants, provider coverage, and priority actions.
Top findings ranked by severity, scope, user count, data type, and recommended review owner.
Approve, review, block, revoke, document, or monitor. Each item has a recommended next step.
Provider, app, scope, status, timestamp, and policy notes for internal review or audit prep.
Export formats
Use the report to decide what to approve, review, block, and document before AI usage turns into a client, compliance, or security problem.
Short answers for IT, security, and operators who need to understand the access model before connecting a provider.