# Cyflow vs Cavelo | Cyflow > Public comparison of Cyflow and Cavelo for workspace data security, sensitive data discovery, DLP, AI readiness, and SSPM — focused on autonomous remediation vs alert-only data classification. Canonical URL: https://cyflow.ai/compare/cavelo/ Last updated: 2026-04-26T00:00:00.000Z --- [Cyflow](/)/Compare/Cavelo # Cyflow vs Cavelo Cavelo is a data discovery and classification platform with strong endpoint and cloud visibility. Cyflow is a workspace data security platform that combines data discovery, SSPM, AI readiness, DLP, and M365 baselines — with autonomous AI agents that not only surface exposure, but fix it. Bottom line - CyflowOne platform for data, SSPM, AI readiness, DLP, and M365 baselines — with autonomous AI agents that detect and remediate exposure without manual work. - CaveloStrong data discovery and classification across endpoints, cloud, and SaaS — risk findings as input to a remediation workflow you operate. [Schedule a demo](/schedule-demo/)[Workspace data security](/dlp/) Vendor A Cyflow × Vendor B Cavelo Category Workspace Data Security · DLP · SSPM · AI Readiness Compares Data discovery & classification across endpoints, cloud, and SaaS Updated April 26, 2026 Sources [5 cited](#source-1) 01Capability matrix ## Side-by-side, by what buyers actually evaluate Grouped by job-to-be-done. Notes show the nuance behind each row. Numbers in brackets link to the cited source. Capability Cyflow Cavelo Notes / ideal for Workspace data security Sensitive data discovery[\[1\]](#source-1),[\[2\]](#source-2) AI auto-classification across files, drives, mailboxes, and shares Sensitive data discovery and classification across endpoints, cloud, and SaaS Both discover sensitive data. The difference is what happens next. Autonomous remediation[\[1\]](#source-1),[\[2\]](#source-2) AI agents detect and fix exposure 24/7 — oversharing, anyone-links, risky access Risk visibility and prioritization; remediation is manual or workflow-driven Cavelo surfaces what's exposed; Cyflow also fixes it without a human in the loop. Oversharing & 'anyone' link cleanup Prioritized remediation queue with one-click bulk actions Surfaces exposure as risk findings; cleanup requires manual action Different operating model: Cyflow drives outcomes; Cavelo informs decisions. External user / file access cleanup Per-tenant inventory plus automated revocation workflows External access reporting, no automated revocation Cavelo identifies what to fix; engineers and admins still do the work. Platform scope DLP[\[1\]](#source-1) Built-in DLP with autonomous remediation across M365 + Google Workspace Data discovery and classification; DLP enforcement via integrations Cavelo focuses on knowing data; Cyflow also acts on it. SaaS Security Posture Management (SSPM) OAuth-connected SaaS inventory, app risk scoring, configuration posture Limited SSPM scope; primary focus is data discovery and classification SSPM and data security in one console eliminates a category. M365 baselines & drift management 7 workload agents, 51 CIS-mapped policies — Identity, PIM, Apps, Email, Endpoint, Teams, SPO Not the primary focus Cyflow includes baselines/drift natively; Cavelo customers add a separate tool. AI readiness (Copilot, Gemini, ChatGPT)[\[3\]](#source-3) Pre-rollout assessment of what each AI assistant can access per user AI exposure surfaces as a discovery finding, not a Copilot-specific assessment Copilot inherits user permissions — see Microsoft Copilot privacy docs. Shadow AI / OAuth AI apps Inventory of AI tools granted access to tenant data Not covered by data discovery scope Critical for AI governance conversations. Coverage Microsoft 365[\[1\]](#source-1),[\[4\]](#source-4) OneDrive, SharePoint, Teams, Outlook, Entra OAuth apps Microsoft 365 connectors for data discovery Both cover M365. Cyflow goes deeper on remediation and SSPM. Google Workspace[\[5\]](#source-5) Drive, Gmail, Docs, OAuth apps — first-class Limited or partial Google Workspace coverage Pick Cyflow if Google Workspace must be in scope with the same depth as M365. Endpoint data discovery Workspace-scoped — files, mailboxes, shares (cloud and managed apps) Includes endpoint scanning agents for laptops and on-prem data Cavelo's edge if endpoint data is in scope; Cyflow is workspace-first by design. Operations & TCO Onboarding 30-second OAuth consent — first findings within minutes Connect cloud sources + deploy endpoint agents where needed Cyflow is agent-less for the workspace layer; Cavelo's endpoint scope adds agent rollout. Ongoing operational work Set-and-forget — autonomous agents triage and remediate Continuous review of risk findings; manual remediation by IT/security Cavelo produces findings to act on; Cyflow acts on them. Multi-tenancy / MSP operations Built for MSP — multi-tenant from day one Primarily single-tenant deployments; multi-tenant support varies MSPs managing many tenants need a single console with cross-tenant context. Best fit Ideal customer Teams that want one platform for data, SSPM, AI readiness, DLP, and baselines — with autonomous remediation Teams with broad endpoint + cloud data discovery needs and an existing remediation workflow / SOC Cavelo is strong on visibility; Cyflow is strong on outcomes and platform breadth. [Schedule a demo](/schedule-demo/)30-second OAuth onboarding · No credit card 02Honest take ## When Cavelo is the better fit No tool wins every job. If any of these match, run with Cavelo — or run both, side-by-side. - Endpoint data discovery on laptops, file servers, and on-prem data stores is a primary requirement — Cavelo's endpoint scanning agents are explicitly in scope. - The buyer is a security team with a mature SOC or remediation workflow that wants risk findings as input, not autonomous fixes. - The engagement is centered on broad data discovery and classification across many data source types, with no requirement for SSPM, baselines/drift, or AI readiness. - There is no need to cover Google Workspace, AI assistants (Copilot / Gemini / ChatGPT), Shadow AI, or to operate the platform across many MSP tenants from a single console. 03Where Cyflow leads ## Three reasons buyers pick Cyflow 01 ### Autonomous remediation, not just risk reports Cyflow's AI agents detect and fix workspace exposure 24/7 — oversharing, anyone-links, risky OAuth apps, ex-employee access. Cavelo is excellent at telling you what's risky and where it lives, but the fix is a separate workflow. Cyflow closes the loop without adding a human step. 02 ### One platform: data + SSPM + AI readiness + DLP + baselines Cyflow consolidates data exposure, SaaS security posture, AI exposure, DLP, and M365 baselines into one console with one contract. Cavelo focuses on data discovery and classification; pairing it with SSPM, drift management, and AI readiness means stitching multiple vendors together. 03 ### Lower TCO, no manual work 30-second OAuth onboarding, no endpoint agents on the workspace layer, no SOC required to action findings. Cyflow turns sensitive-data, oversharing, and AI exposure into closed-loop work — instead of a backlog of risk tickets to assign and chase. 04Sources 1. \[1\][Cavelo — public website (platform overview)](https://www.cavelo.com/) 2. \[2\][Cavelo — Attack Surface Management product](https://www.cavelo.com/platform) 3. \[3\][Microsoft 365 Copilot privacy & permissions documentation](https://learn.microsoft.com/en-us/copilot/microsoft-365/microsoft-365-copilot-privacy) 4. \[4\][Cyflow — Microsoft 365 coverage](/solutions/microsoft-365) 5. \[5\][Cyflow — Google Workspace coverage](/solutions/google-workspace) FAQ ## Common Questions Yes. Cyflow auto-classifies files, drives, mailboxes, and shares across Microsoft 365 and Google Workspace using AI — with frameworks for GDPR, HIPAA, SOC2, PCI, and ISO 27001. The difference is what happens next: Cyflow's agents autonomously remediate the exposure they find, while Cavelo's strength is classification and risk reporting. ## From risk findings to closed-loop remediation Connect one Microsoft 365 or Google Workspace tenant in 30 seconds via OAuth. Cyflow returns sensitive-data, oversharing, and AI-exposure findings the same session — and autonomous AI agents start fixing them without a human in the loop. [Schedule a demo](/schedule-demo/)