# Cyflow — AI Security for Microsoft 365 and Google Workspace Cyflow is an **AI Security Platform / AI Usage Control (AISP / AIUC)** for Microsoft 365 and Google Workspace, built on **Data Security Posture Management (DSPM)** and **SaaS Security Posture Management (SSPM)**, with Data Loss Prevention (DLP) and Shadow AI discovery built in. > One console for every AI channel in the tenant: Copilot conversations, browser AI tools, connected AI apps, file sharing, outgoing mail and configuration — inventoried, classified and remediated. This file is a single Markdown context file for LLM crawlers, answer engines, and citation systems. It summarizes Cyflow's public website content and links each section back to its canonical URL. It intentionally excludes pricing, contact, demo, trial, and internal pages so retrieval systems focus on product, use-case, educational, and legal context. # https://cyflow.ai/ Secure the data AI can reach. One platform for every AI agent and assistant in a Microsoft 365 or Google Workspace tenant. Copilot answers from data the tenant already overshares, browser AI tools take whatever people paste, and connected AI apps hold delegated scopes nobody reviewed. Cyflow covers all three in one console, and remediates what it finds. The starting position: AI does not create permissions, it amplifies them. Access grants already exist in the tenant — often misconfigured. Every OAuth consent, every Anyone link, every extension install added another path into the same data long before AI arrived to read it. Three specific failures recur — consent nobody revisited, where a user approves an app with organization-wide scope with no admin in the room and the grant outlives the trial; links that outlive their reason, where a file shared with Anyone stays shared with Anyone and Copilot summarises it for whoever can reach it; and extensions that read every page, where an AI assistant extension in Chrome or Edge turns a pasted contract into a copy outside the tenant. Every channel AI arrives through, each covered by one connection to the tenant: 1. Microsoft Copilot — conversations classified by sensitivity and data exposure, filterable by topic and regulated data. 2. Browser AI tools — the Cyflow Chrome and Edge extension records paste and upload by destination, channel and sensitivity, and blocks a sensitive paste before it lands. 3. Connected AI apps — every OAuth grant scored on AI exposure, data access and publisher trust, revocable from the same table. 4. Files and sharing — sharing state beside the sensitivity label on every file: Anyone, external, organization-wide, group or private. 5. Outgoing mail and personal accounts — outgoing mail classified, external recipients marked, overshared links pulled back, with Secure Share for the OneDrive attachment side. 6. Tenant configuration — Baselines hold a desired state per workload and show each drift with its CIS reference and what changed. 7. People — sensitive-data exposure, blast radius and identity on the same row as the person holding them, with in-context education at the moment of overshare or paste. Operations. Cyflow reads Microsoft 365 through Microsoft Graph and Entra, and Google Workspace through domain-wide delegation covering Drive, Shared Drives, Gmail and the directory. Copilot conversations are read on the Microsoft side; conversation-level classification for Google Gemini and Claude Enterprise works the same way when those assistants are in use. There is no endpoint agent — connecting a tenant is an admin consent and a set of scopes, with the optional browser extension the single exception. Each agent carries one of three authorities: Monitor records the finding and stops, Request Approval sends it to the inbox and waits for a person, Auto-remediate applies the fix and writes who it ran as into the audit log. Employee education is optional and fires at the moment of exposure. The lifecycle runs readiness before Copilot or Gemini go live, governance once they are in use, and continuous exposure management as permissions and configuration drift. Copilot seat licensing is matched to conversation activity so unused seats are named rather than estimated. Getting started is three steps: connect and scan, classify and set policy, then leave agents on auto-pilot for drift. After the finding: a finding is not a fix. Agents run in the mode you pick, from monitor-only through to strict remediation. Anything not pre-approved waits in the Operations Inbox with the entity, the agent that raised it, and when it was detected. Reports leave the console as an executive PDF, summary or detailed, carrying your own logo. Audiences are IT and security teams running one tenant, and MSPs and MSSPs running every client tenant in one console with agent presets applied across all of them and white-label reporting per client. # https://cyflow.ai/dlp/ Cyflow DLP is data loss prevention for Microsoft 365 and Google Workspace. It helps organizations prevent sensitive data from leaving through public links, external shares, broad internal permissions, personal email accounts, risky SaaS applications, and AI tools. Cyflow classifies files by sensitivity, detects external exposure, and gives teams remediation actions that can be applied one by one or in bulk. The DLP workflow is not limited to alerts. Cyflow is built around the idea that detection should lead directly to remediation. Important DLP capabilities: - Sensitivity classification for PII, PHI, PCI, intellectual property, contracts, financial records, and regulated data. - External share detection across public links, external collaborators, personal email accounts, and former employees. - One-click revocation and bulk remediation for risky permissions. - AI agent remediation that can run continuously based on policy. - Compliance reporting for GDPR, HIPAA, SOC 2, PCI, and ISO-oriented controls. - Workspace-wide monitoring across tenants for MSP and MSSP teams. Cyflow is useful when a company wants to reduce data exfiltration risk, insider threat blast radius, accidental sharing, and Copilot/Gemini exposure before deploying AI broadly. # https://cyflow.ai/access-management/ Cyflow Access Management focuses on who can access sensitive workspace data and whether that access still makes sense. The product identifies overly permissive file shares, former employee access, external users, personal email accounts, stale permissions, and broad group access that can expose sensitive data. Access Management is closely connected to DLP. DLP finds the sensitive data and risky movement paths; Access Management shows who can reach that data and helps remove unnecessary access. Key access management themes: - Least-privilege enforcement for cloud workspace data. - External and internal permission visibility. - Former employee and stale collaborator cleanup. - Risk scoring based on data sensitivity and sharing scope. - Permission revocation and remediation workflows. - MSP-friendly multi-tenant access review across Microsoft 365 and Google Workspace clients. Cyflow helps teams move from periodic manual access reviews to continuous access posture management. # https://cyflow.ai/saas-security/ Cyflow SaaS Security discovers and assesses the apps connected to Microsoft 365 and Google Workspace. This includes OAuth-granted applications, third-party SaaS tools, AI apps, browser-connected workflows, and integrations that may have broad access to files, mail, calendar, or identity data. Cyflow treats SaaS posture as part of data security. A risky OAuth app can become a data loss path even if the user account itself is trusted. Cyflow inventories those apps, scores their risk, shows what permissions they hold, and helps teams revoke or remediate unsafe access. This page supports the SaaS Security Posture Management (SSPM) story: - Discover connected SaaS and AI apps. - Review OAuth grants and permission scopes. - Detect shadow IT and Shadow AI tooling. - Monitor configuration drift and app risk. - Prioritize remediation for apps with sensitive-data reach. - Manage posture across Microsoft 365 and Google Workspace tenants. Cyflow SSPM is especially relevant for organizations adopting Copilot, Gemini, ChatGPT, Claude, and other AI tools while trying to understand which connected apps can access corporate data. # https://cyflow.ai/user-security-posture/ Cyflow User Security Posture focuses on employee and identity-driven risk. It combines user behavior, sensitive data access, sharing patterns, MFA signals, app access, and anomaly detection to show which users create the highest exposure. Use cases include insider threat prevention, departing employee risk, suspicious access patterns, weak posture, and users with unusually broad access to sensitive information. Important capabilities: - User-level risk scoring. - Behavior analytics and anomaly detection. - MFA and posture visibility. - Former employee and offboarding-related exposure detection. - Insider threat indicators based on data access and sharing behavior. - Prioritized remediation for high-risk users and asset owners. The goal is not to accuse users. It is to help security and IT teams reduce the data blast radius around risky accounts, departures, and access patterns. # https://cyflow.ai/platform/ The Cyflow platform is one console covering every channel AI arrives through in a Microsoft 365 or Google Workspace tenant: Microsoft 365 Copilot conversations, browser AI tools, connected AI apps holding OAuth grants, file sharing, outgoing mail, people and their blast radius, and tenant configuration. Inventory, classification and remediation work the same way whichever channel a finding comes from. Connecting a tenant is an admin consent and a set of scopes. There is no endpoint agent; the one client-side component is an optional Chrome and Edge extension that covers the browser channel. Read scopes come first, and write scopes apply only when remediation is enabled. Platform themes: - Copilot conversations classified by sensitivity and data exposure, filterable by topic and regulated data. - OAuth grants scored on AI exposure, data access and publisher trust, revocable in place. - Browser paste and upload to AI assistants and personal destinations, recorded and blockable. - Sharing state beside the sensitivity label on every file, with remediation agents narrowing what should not be open. - Configuration drift against desired-state baselines with CIS references. - Agent authority set per agent and per tenant: Monitor, Request Approval, or Auto-remediate. - Multi-tenant operation with shared agent presets and white-label reporting. # https://cyflow.ai/ai-exposure/ AI exposure is access grants that already exist in the tenant — often misconfigured — seen from the perspective of an AI assistant. Every OAuth consent, every Anyone link and every extension install added another path into the same data long before an assistant arrived to read it. Cyflow inventories those paths and shows what an assistant could reach in the tenant today. Six paths make up the exposure surface: Copilot's answer surface, connected AI apps holding delegated OAuth scope, people and the blast radius their access creates, mail and open links, browser AI tools, and configuration drift. The AI Readiness Assessment is the engagement that measures it. An admin consent connects the tenant and Cyflow inventories files, people, OAuth grants, Copilot conversations, browser activity, outgoing mail and configuration using read scopes. Sensitivity and sharing state land on every asset, grants are scored on AI exposure and data access, and people carry blast radius. The report exports as a PDF and can carry a partner logo. Boundaries: the readiness score is an assessment, not a certification or audit opinion. Copilot licensing is not required for exposure mapping, though conversation-level classification does require Microsoft 365 Copilot in use. Conversation-level classification for Google Gemini and Claude Enterprise works the same way when those assistants are in use. On Google Workspace, Drive, Shared Drives, Gmail and the directory are covered through domain-wide delegation. # https://cyflow.ai/ai-governance/ AI governance is what happens after rollout, where AI readiness is what happens before it. Six things move once an assistant is in daily use: Copilot conversations, new connected AI apps, oversharing, browser destinations, tenant configuration drift, and Copilot seat utilization. The governance loop is detect, decide, prove. Agents watch each channel continuously. Every agent carries one of three authorities — Monitor records the finding and stops, Request Approval sends it to the approval inbox and waits for a person, Auto-remediate applies the fix. Nothing that has not been pre-approved changes on its own. Executive, compliance and remediation reports export as PDF and can carry a partner logo, and the audit log records what changed and who the agent ran as. Boundaries: conversation detail export is gated to administrators. Cyflow governs ChatGPT and Claude through the channels they use in the tenant — browser paste and upload, and OAuth grants — rather than managing those vendors' own accounts. Conversation monitoring for Google Gemini works the same way as Microsoft 365 Copilot when Gemini is in use. # https://cyflow.ai/shadow-ai/ Shadow AI is AI reaching tenant data without going through review. It arrives on three surfaces: OAuth-connected AI apps and agents holding delegated access, AI extensions installed in the browser, and consumer AI assistants used in a browser tab. This page owns the OAuth surface; the two browser surfaces are covered at https://cyflow.ai/browser-ai-security/. On the OAuth surface the loop is discover, score, revoke. Cyflow enumerates every OAuth application and agent holding a grant in the tenant, including grants consented to by individual users rather than an admin, and records the scopes each one holds. Each grant is scored on AI exposure, on how much data its scopes actually reach, and on publisher trust. Grants can be revoked in place or marked reviewed, and new grants appearing afterwards are raised by an agent. Boundaries: OAuth discovery, scoring and revocation cover Microsoft 365 and Google Workspace, on Google through domain-wide delegation. AI tools that never request a grant are browser-side and are covered by the browser extension rather than the applications inventory. # https://cyflow.ai/browser-ai-security/ Browser AI security is the browser channel of shadow AI: AI extensions that read the page, and AI assistants used in a tab. The Cyflow extension for Chrome and Edge is the only client-side component the platform ships; there is no endpoint agent. Three controls. First, an inventory of every extension installed across Chrome and Edge in the tenant, with the permissions it holds and whether it is an AI assistant — ChatGPT, Claude and Perplexity extensions surface with an AI exposure rating. Second, extension authorization: extensions the organization has decided against are soft-disabled, and the employee is given a Request Approval path modelled on privileged access management rather than a dead end. Third, paste and upload control: content heading for AI assistants such as ChatGPT and Claude, and for private destinations such as WhatsApp Web and personal Gmail, is recorded with destination, channel, user and sensitivity, and blocked before it lands when the content is sensitive. Boundaries: the control covers Chrome and Edge. Browsers without the extension are outside it. Event records keep the destination, channel, user and sensitivity rather than a transcript of what was typed. # https://cyflow.ai/security-baselines/ Security Baselines holds a desired state for Microsoft 365 configuration and compares it against live tenant configuration. Each policy comes back aligned, drifted or excepted, with its previous value, its current value and its CIS reference. Drift matters for AI exposure because configuration sits upstream of everything else: anonymous link sharing re-enabled at tenant level produces oversharing through ordinary work, relaxed content-discovery restrictions widen what an assistant can search for an answer, and gaps in conditional access or MFA coverage sit upstream of every other control. Remediation runs at three depths, set per policy: dry-run shows what would change without changing it, request sends the change for approval, and apply makes it. Settings an organization diverges from deliberately can be marked safe or allowlisted. A baseline can be applied across the managed tenants an MSP selects. Boundaries: coverage is the policy catalog — the settings Cyflow maintains a desired state and a remediation path for — and grows as the catalog does, rather than every setting Microsoft ships. CIS references trace a finding to a recognized control; the output is a drift report and a remediation record, not a certification or an audit opinion. # https://cyflow.ai/email-data-security/ Email data security covers outgoing mail: the direction in which tenant data leaves. Three risks sit inside one message — sensitive attachments going to external domains, work data reaching personal addresses, and content shared as a link that inherits whatever sharing the file already had. Outgoing messages carry sender, recipients, attachments, sensitivity and topic, with external recipients marked, and agents raise the patterns worth acting on. Remediation works on the sharing behind a message rather than the message itself: it strips Anyone and organization-wide permissions from the shared file and invites the named recipients instead, so the intended reader keeps access and the open path closes. Secure Share sets the Microsoft tenant posture that produced the sharing in the first place — whether Outlook converts attachments into OneDrive links, and whether SharePoint file-request links are available — as desired state against live state, applicable across managed Microsoft tenants at once. Boundaries: Cyflow covers outgoing mail, not incoming; inbound threat protection is a different category. Secure Share is a capability inside email data security rather than a separate product, and it applies to Microsoft tenants. # https://cyflow.ai/autonomous-remediation/ Autonomous remediation is what carries a finding through to a changed permission. The concrete actions are narrowing an Anyone link on regulated content and granting access to the people who needed it, revoking an OAuth grant that failed review, returning a drifted Microsoft 365 policy to its baseline value, blocking a paste or upload in the browser before it completes, notifying the person who created the exposure, and marking reviewed findings safe or allowlisted so they stop recurring. Every agent runs at one of three authorities, set per agent and per tenant. Monitor records the finding and stops, which is where new agents start. Request Approval sends the finding to the approval inbox with the entity, the agent that raised it and when it was detected, and waits for a person; this is where most agents settle. Auto-remediate applies the change directly and is appropriate for narrow, unambiguous cases. Nothing steps past the authority it was given. The approval inbox is one queue across channels — browser, applications, baselines and data assets — rather than one queue per module. The record behind each remediation carries the agent that acted, the authority it ran under, and the person who approved it. Built-in agents ship as presets from monitor-only through to strict remediation, and custom agents cover organization-specific policies. # https://cyflow.ai/ai-protection/ Cyflow AI Protection helps organizations secure data before and during the use of AI assistants such as Microsoft 365 Copilot, Google Gemini, ChatGPT, Claude, and connected AI apps. AI assistants inherit the data access available to users and apps. If a workspace has years of oversharing and stale permissions, AI can surface sensitive data faster than humans would find it manually. Cyflow AI Protection addresses this by discovering what AI tools and assistants can reach, classifying sensitive files, detecting oversharing, identifying Shadow AI usage, and helping teams remove risky access paths. AI Protection themes: - AI Security Platform (AISP) and AI Usage Control (AIUC) for workspace data. - Copilot and Gemini exposure reduction. - Shadow AI discovery for unsanctioned ChatGPT, Claude, Gemini, Perplexity, and similar app access. - Prompt and AI-tool risk context where workspace data could be exposed. - Data access remediation before AI rollout. - Ongoing monitoring after AI rollout. Cyflow is positioned for teams asking: "How do we prevent sensitive workspace data from showing up in Copilot, Gemini, ChatGPT, Claude, or connected AI tools?" # https://cyflow.ai/ai-exposure-protection/ Cyflow AI Exposure Protection helps security teams understand what sensitive files and collaboration objects are accessible to AI assistants. It is closely related to AI Readiness and AI Protection, but its specific focus is exposure mapping: what data can AI reach today based on existing user, group, external share, and app permissions? Typical findings include public files, broad internal sharing, sensitive HR or finance documents available to too many employees, old external shares, and files that are technically private but reachable by AI because a user or group has excessive permissions. Cyflow helps teams: - Identify sensitive files accessible to AI assistants. - Prioritize remediation based on sensitivity and exposure scope. - Reduce Copilot and Gemini data exposure before rollout. - Track exposure trends as workspaces evolve. - Prove improvement to executives and auditors. # https://cyflow.ai/inventory/ Cyflow Asset Inventory is the foundation for Data Security Posture Management (DSPM). It gives teams visibility into files, folders, drives, sites, pages, emails, workspace assets, ownership, sensitivity, permissions, and exposure paths. DSPM requires discovering data, classifying it, understanding access, mapping risk, and enabling remediation. Cyflow's inventory page represents that workflow for Microsoft 365 and Google Workspace. Core inventory capabilities: - Unified file and asset inventory across cloud workspaces. - AI-powered data classification. - Permission mapping and exposure analysis. - Sensitive data discovery for regulated and business-critical information. - Risk scoring based on sensitivity, access scope, external sharing, and AI exposure. - Search and reporting for security, compliance, and MSP operations. Cyflow's inventory is useful for teams asking: "Where is our sensitive data, who can access it, and what needs to be fixed first?" # https://cyflow.ai/built-in-agents/ Cyflow Built-in Agents are preconfigured security automations based on common workspace security scenarios. They help teams move from manual detection to continuous remediation. Examples of built-in agent behaviors: - Detect public links on sensitive files. - Notify asset owners about risky sharing. - Revoke dangerous external shares. - Escalate high-risk exposure to security teams. - Prepare executive summaries and recurring reports. - Monitor AI exposure and SaaS app risk. Built-in agents are designed for teams that want fast time-to-value without building workflows from scratch. # https://cyflow.ai/custom-agents/ Cyflow Custom Agents let organizations define their own security automation using Cyflow's visibility into files, permissions, user behavior, app access, classification, and usage data. Custom agents are useful when an organization has a policy that is more specific than a generic control. For example, an MSP may want different actions per client tenant, a compliance team may want special handling for regulated file types, or a security team may want to route incidents differently based on sensitivity and ownership. Custom agent themes: - Build workspace security automations tailored to internal policy. - Combine classification, permissions, user posture, SaaS risk, and AI exposure. - Automate notifications, education, escalation, and remediation. - Support tenant-specific policies for MSP and MSSP use cases. # https://cyflow.ai/notifications-engine/ Cyflow's Notifications Engine turns findings into communication and action. It sends smart alerts, educational messages, owner notifications, and executive-ready summaries when workspace risk needs attention. Security teams often fail not because they cannot detect a risk, but because the right owner never receives clear, actionable context. Cyflow notifications are intended to make remediation understandable to file owners, IT admins, MSP operators, and executives. Notification examples: - Alert an owner when a sensitive file is shared publicly. - Tell an IT admin when an OAuth app has dangerous scopes. - Send an executive summary of exposure trends. - Notify an MSP operator when a client tenant crosses a risk threshold. - Explain why a share should be revoked and what will happen next. # https://cyflow.ai/usage-reports/ Cyflow Usage Reports provide executive-ready dashboards and exports for security, compliance, and MSP operations. Reports summarize data exposure, app risk, user posture, remediation progress, and compliance-aligned controls. Typical reporting audiences: - Executives who need risk trends and business-level summaries. - Security teams who need remediation queues and evidence. - Compliance teams preparing for SOC 2, GDPR, HIPAA, PCI, or ISO-related reviews. - MSPs who need branded or client-ready summaries. Reports help prove that workspace security is improving over time, not just generating more findings. # https://cyflow.ai/msp/ Cyflow is built for MSPs and MSSPs that need to protect multiple client workspaces from one place, and the MSP page frames that as a repeatable service line rather than another tool to resell: a paid AI Readiness Assessment as the front door, recurring AI governance behind it, and white-label proof delivered each period. MSPs often support clients that cannot afford or manage heavy enterprise security stacks. Cyflow gives MSPs a practical way to offer workspace data security, DLP, AI readiness, SaaS posture, and compliance reporting without deploying endpoint agents or building custom integrations. The service line has three motions. Sell the assessment: a fast consultative engagement that fits before a Copilot or Gemini rollout, connected by admin consent, ending in a prioritized remediation plan. Convert it into recurring governance: one set of agent presets applied across every tenant at once, with an approval inbox in front of anything that would change a client's tenant. Deliver proof every period: executive, compliance and remediation reports exported as PDF carrying the partner's own logo. MSP value points: - 30-second client onboarding through OAuth. - One dashboard for all tenants. - Agent presets applied across every client tenant at once. - AI agents that reduce manual remediation workload. - White-label reports clients can understand. - Workspace security services that MSPs can bundle and upsell. - Microsoft 365 and Google Workspace support. - Copilot and Gemini readiness as a consultative service. Cyflow is relevant to queries such as "best DLP for MSP", "multi-tenant Microsoft 365 security MSP", "workspace data security for MSPs", and "Copilot readiness assessment for MSP clients". # https://cyflow.ai/solutions/enterprise/ Cyflow for mid-enterprise organizations provides workspace security without the deployment complexity of legacy enterprise tools. Mid-enterprise teams often have the same data exposure problems as larger organizations, but fewer specialists and less time to operate complex platforms. Enterprise use cases: - Protect sensitive Microsoft 365 and Google Workspace data. - Reduce oversharing and external exposure. - Prepare for Copilot and Gemini adoption. - Govern SaaS and AI app access. - Produce audit-ready reports. - Automate remediation without growing headcount. # https://cyflow.ai/solutions/microsoft-365/ Cyflow Microsoft 365 Security protects OneDrive, SharePoint, Teams, Outlook, and Copilot-connected data. It is especially useful for MSPs and organizations with multiple tenants or complex Microsoft 365 collaboration patterns. Microsoft 365 risks Cyflow addresses: - Public and external sharing in OneDrive and SharePoint. - Sensitive data reachable by broad internal permissions. - Copilot exposure caused by old access patterns. - Former employee and stale collaborator access. - OAuth apps with dangerous scopes. - Teams and workspace data that lack unified visibility. Cyflow gives teams a single dashboard for Microsoft 365 workspace data security, DLP, AI readiness, AI exposure reduction, and reporting. # https://cyflow.ai/solutions/google-workspace/ Cyflow Google Workspace Security protects Google Drive, Shared Drives, Gmail, Docs, Sheets, Slides, Forms, and Gemini-connected data. Google Workspace makes collaboration easy, but public links and broad sharing can persist for years. Google Workspace risks Cyflow addresses: - "Anyone with the link" exposure. - Sensitive files in Drive and Shared Drives. - Third-party apps with OAuth access. - Gemini exposure caused by existing permissions. - Personal account sharing and external collaborators. - Multi-domain or multi-client management for MSPs. Cyflow helps teams secure Google Workspace without living inside every admin console. # https://cyflow.ai/solutions/compliance/ Cyflow Compliance helps organizations maintain evidence and controls for SOC 2, GDPR, HIPAA, PCI DSS, and related frameworks. The product supports compliance by making sensitive data, access, sharing, remediation, and reporting visible. Compliance capabilities: - Data inventory and classification. - Automated control evidence. - Access and sharing reports. - Remediation tracking. - Continuous monitoring. - Executive and auditor-ready exports. Cyflow does not replace a compliance program, but it supplies the workspace data security evidence and controls that auditors and internal reviewers need. # https://cyflow.ai/solutions/offboarding/ Cyflow Offboarding helps organizations secure employee departures by identifying the data, files, external shares, apps, and access paths associated with departing or former employees. Offboarding risks include stale access, files owned by departing users, external shares that remain active, sensitive data moved to personal accounts, and SaaS apps authorized by users who no longer work at the company. Cyflow helps teams: - Identify departing-user data ownership and access. - Revoke stale shares and permissions. - Detect personal email or external exposure. - Reduce insider threat and data exfiltration risk. - Produce offboarding evidence for IT and compliance. # https://cyflow.ai/solutions/insider-threats/ Cyflow Insider Threats helps detect and reduce risk from employees or accounts that can access sensitive data in risky ways. It combines user posture, behavior, access scope, sharing patterns, and sensitive-data classification. Insider risk is often about opportunity rather than intent. If a user can access too much data, share it externally, or connect risky apps, the organization has a larger blast radius. Cyflow helps shrink that blast radius. Insider threat signals include unusual file access, risky sharing, broad permissions, former employee exposure, personal email sharing, and access to sensitive files outside a user's normal role. # https://cyflow.ai/ai-readiness/ Cyflow AI Readiness helps organizations assess whether their workspace is safe for Copilot, Gemini, and other AI assistants. It gives teams a structured way to see sensitive data exposure, oversharing, SaaS app risk, and posture gaps before AI rollout. AI readiness is a point-in-time assessment and remediation plan. AI Protection is the ongoing runtime and monitoring layer after rollout. Together, they help organizations move from "Can we turn on AI?" to "How do we keep AI use safe over time?" AI Readiness report themes: - Copilot and Gemini exposure visibility. - Sensitive data and oversharing assessment. - SaaS governance and Shadow AI context. - MFA and user posture signals. - Prioritized remediation plan. - Executive-friendly readiness score and report. This is relevant to queries such as "Microsoft 365 Copilot readiness assessment", "AI readiness security check", "is my workspace ready for Copilot", and "how do I assess AI data exposure before rollout?" # https://cyflow.ai/why-us/ Cyflow's differentiation is speed, automation, AI-native analysis, and workspace focus. Traditional data security platforms can be expensive and complex. Native admin centers often show only part of the picture. Cyflow focuses on Microsoft 365 and Google Workspace data where collaboration, SaaS apps, and AI tools meet. Why Cyflow: - Fast setup. - AI-powered classification and analysis. - Autonomous remediation through agents. - MSP-ready multi-tenant operations. - Lower operational complexity than legacy DLP. - Built for the AI assistant era. # https://cyflow.ai/approach/ Cyflow's approach is continuous workspace data security. The product discovers data, classifies sensitivity, maps access, detects exposure, prioritizes risk, and automates remediation. Cyflow assumes that collaboration is not going away. The goal is not to block all sharing; it is to make sharing safe, visible, governed, and remediated when risk crosses policy. The approach can be summarized as: 1. Connect the workspace. 2. Inventory data, users, permissions, and apps. 3. Classify sensitive assets. 4. Score risk and surface exposure. 5. Remediate automatically or with owner approval. 6. Report posture and improvement over time. # https://cyflow.ai/about/ Cyflow is a security company focused on workspace data and AI security. The company builds for organizations that use Microsoft 365, Google Workspace, SaaS applications, and AI assistants every day. The team's mission is to make data security more autonomous, understandable, and accessible. Cyflow is intended for security teams, IT teams, compliance owners, MSPs, MSSPs, and mid-enterprise organizations that need practical protection without heavy deployments. # https://cyflow.ai/features/ Cyflow feature areas include: - Data Loss Prevention. - Access Management. - SaaS Security. - User Security Posture. - AI Protection. - AI Exposure Protection. - Asset Inventory. - Applications Inventory. - Usage Reports. - Configuration Assessment. - Built-in Agents. - Custom Agents. - Notifications Engine. - Compliance reporting. - MSP multi-tenant management. The feature set is designed to work as one loop: discover, classify, detect, remediate, report. # https://cyflow.ai/faq/ Common questions and answers: Q: What is Cyflow? A: Cyflow is an AI-powered workspace data security platform for Microsoft 365 and Google Workspace. It discovers sensitive data, maps access, detects oversharing and risky apps, and helps remediate exposure. Q: Who is Cyflow built for? A: Cyflow is built for MSPs, MSSPs, IT teams, security teams, compliance leaders, and mid-enterprise organizations that need practical workspace security across Microsoft 365 and Google Workspace. Q: How fast is setup? A: Setup is designed to be fast through OAuth authorization. Organizations can start seeing workspace risk quickly without deploying endpoint agents or changing firewall infrastructure. Q: Does Cyflow support MSP multi-tenancy? A: Yes. Cyflow is designed for multi-tenant operations so MSPs and MSSPs can manage multiple client environments from one dashboard. Q: Does Cyflow replace Microsoft Purview or Google admin tools? A: Cyflow does not need to replace every native control. It provides a focused workspace data security layer with unified visibility, classification, access analysis, AI exposure context, app risk, and remediation workflows that are easier for many teams and MSPs to operate. Q: How does Cyflow help with Copilot or Gemini readiness? A: Cyflow shows what sensitive data and oversharing patterns AI assistants may be able to access, then helps teams prioritize remediation before rollout. Q: How does Cyflow detect Shadow AI? A: Cyflow discovers connected SaaS and AI apps, reviews OAuth scopes and app access, and identifies unsanctioned tools that may have access to workspace data. Q: What compliance programs can Cyflow support? A: Cyflow can support evidence and controls for SOC 2, GDPR, HIPAA, PCI DSS, and similar programs by showing sensitive data, access, sharing, remediation, and reports. # https://cyflow.ai/blog/introducing-cyflow/ Introducing Cyflow: Autonomous Workspace Security. We're excited to introduce Cyflow, an AI-powered security platform built to protect your cloud workspace from data breaches, insider threats, and compliance violations. With Cyflow, security is autonomous, intelligent, and accessible to organizations of all sizes. ## The Challenge: Cloud Workspace Security at Scale Modern organizations run on Microsoft 365 and Google Workspace. These platforms hold your most sensitive data: financial records, customer information, intellectual property, and internal communications. Yet securing this data is harder than ever. Traditional security tools require constant configuration, generate alert fatigue, and miss the nuanced threats that emerge from everyday collaboration. Small teams lack the resources, and larger organizations struggle to keep up with the pace of change. ## Our Solution: Autonomous Security with AI Agents Cyflow takes a fundamentally different approach. Instead of drowning you in alerts, our built-in AI agents continuously monitor your workspace and automatically remediate security risks before they become breaches. - Data Loss Prevention (DLP): Detect and prevent sensitive data from leaving your organization through external shares, AI tools, or unauthorized access. - Access Management: Automatically identify overly permissive shares, former employee access, and risky external collaborations. - SaaS Security: Gain visibility into third-party applications connected to your workspace and their access to your data. - AI Protection: Monitor and govern how AI tools like Copilot and Gemini access your organization's data. ## Built for Teams That Move Fast We designed Cyflow for the way modern teams work. Setup takes 30 seconds: just sign in with your Microsoft or Google account. From there, Cyflow handles the rest. 1. Instant Discovery: Within minutes, Cyflow maps your entire data landscape: files, shares, users, and applications. 2. Continuous Monitoring: Our agents work 24/7, analyzing behavior patterns and identifying anomalies. 3. Automatic Remediation: When a risk is detected, Cyflow can take action immediately, revoking access, notifying stakeholders, or escalating to your security team. ## What's Next We're just getting started. In the coming months, we'll be sharing more about our approach to custom AI agents, deep dives into specific security use cases, and stories from organizations using Cyflow to protect their workspaces. Ready to see Cyflow in action? Start your free trial or schedule a demo with our team. # https://cyflow.ai/blog/cyflow-launch-for-msps/ Cyflow is Here: Built From the Ground Up for MSPs. Today is the day: We are officially launching Cyflow. After over a year of focused development, the timing couldn't be better. While the industry is busy trying to patch AI onto legacy products, we took a different path. We built something fundamentally new, from the ground up, specifically for MSPs. ## From Data Security to Workspace Security What started as data security has evolved into something much bigger: Workspace Data Security. It's more comprehensive and forward-thinking than we ever imagined. We're not just protecting files. We're securing the entire collaboration environment where your clients live and work every day. ## Why We're Different There's nothing like Cyflow in the market today. Here's what sets us apart: - Natively Multi-Tenant: Manage your entire client base automatically, with zero manual overhead. No more juggling separate instances or configurations. - Lightning Fast: Our architecture is built for speed. You'll see results in minutes, not hours or days. - Complete Historical Visibility: We scan backwards from the beginning of time. No blind spots, no gaps in coverage. - Automatic Remediation: We don't just alert you to problems. We automatically remediate issues caused by insiders, employees, or attackers. You can sit back and relax while we handle everything. ## Pricing for the AI Economy We know the MSP margin squeeze is real. That's why we've built a pricing model designed for the AI economy, one that can cut your security expenses by at least 75%. Plus, we're providing free NFR licenses to secure your own MSP data. We believe you should be protected by the same tools you sell to your clients. ## Let's Connect We're ready to rock. Visit cyflow.ai to learn more about what we offer, or schedule a meeting with me. Ready to see it in action? Start your free trial and experience the future of MSP workspace security. Let's go! # https://cyflow.ai/blog/out-of-stealth-ai-native-security/ Out of Stealth: Lessons from Building an AI-Native Security Platform. We're out of stealth. For the past year, we've been building something we believe will fundamentally change how security teams protect their organizations. ## The AI-Native Paradox Building an AI-native security company has tested everything we thought we knew about product development. Some things moved faster than we ever imagined possible: features that would have taken months shipped in days. Complex functionality that once required large teams came together with the right prompts, AI agent architecture, and MCP tooling. Other things humbled us. Moving fast means nothing if you're solving the wrong problem. We had to slow down, listen to design partners, and rebuild around what actually matters, not what's technically impressive. ## Three Lessons from the Journey ### 1. Speed Is a Tool, Not a Strategy AI enables prototyping at unprecedented pace. But our best decisions came when we paused to ask: Does this actually help a security analyst at 2am during an incident? Velocity without direction is just motion. ### 2. Real-Time at Scale Is Still Hard We're processing millions of assets continuously across Microsoft 365 and Google Workspace environments. AI helped us get there faster. It didn't make the engineering any less demanding. The fundamentals of distributed systems, data pipelines, and reliability still matter. ### 3. Experience Cuts Both Ways Deep security expertise helped us avoid some traps. It also created blind spots we had to unlearn. Building AI-native means questioning assumptions you didn't even know you had: about how security products should work, how teams should operate, and what's actually possible now. ## What We've Built The result is a security platform designed for how threats actually work today: adaptive, fast, and grounded in the realities of modern infrastructure. Our AI agents don't just detect problems; they automatically remediate them before they become breaches. We're incredibly proud of what this team has accomplished. And we're grateful to the design partners who trusted us early and pushed us to be better. ## What's Next This is just the beginning. We'll be sharing more about our approach to autonomous security, deep dives into specific use cases, and the technical decisions that shaped Cyflow. Ready to see what AI-native security looks like? Start your free trial or schedule a demo with our team. We're here, we're ready, and we're just getting started. # https://cyflow.ai/blog/why-workspace-data-security/ Why Workspace Data Security Is the Next Frontier. TL;DR: We're starting a new company redefining workspace data security. ## The Biggest Race Right Now Is for Data When we started thinking about the "next big thing," we explored a wide range of ideas, from new communication tools to deepfake detection. But the deeper we dug, the clearer it became: the biggest race right now is for data. Everyone is after it: malicious actors, applications, and of course AI. ## The Massive Gap in Workspace Security When we looked at the market, we saw many solutions focused on data in cloud infrastructure. Plenty of tools protect your servers, containers, and databases. But then it clicked: the huge gap is in securing data where it matters most, in workspace applications. Workspace apps are the business core for MSPs' clients and mid-tier enterprises. This is where employees collaborate, share sensitive documents, communicate with customers, and make decisions. Yet this is exactly where traditional security solutions fall short. ### Why Traditional Solutions Miss the Mark - Cloud infrastructure focus: Most security tools protect servers and databases, not the files and emails where business actually happens. - Unstructured data blind spots: Documents, spreadsheets, and presentations contain your most sensitive information but remain largely unprotected. - AI-era vulnerabilities: As AI tools integrate deeper into workspaces, new attack vectors emerge that legacy solutions weren't designed to handle. ## Building "Workspace Data Security" That's why we're building a new category: Workspace Data Security, touching DLP, SaaS security, identity and access management, email protection, and AI security with a focus on unstructured data residing and used in workspace apps. From idea to launch, we met dozens of MSP owners, CISOs, and design partners to tune our offering. Now we're ready to kick off. ## AI-Native from Day One Cyflow is AI-native across the board: super lean, laser-focused, and easily adaptable. We develop with AI, secure using AI, and protect from AI. This isn't AI bolted onto a legacy platform. It's a ground-up approach where AI agents continuously monitor, detect, and automatically remediate risks before they become breaches. ## What's Next We're building with a world-class team, and we couldn't be more excited about what's ahead. It's a privilege to build with people where everything clicks. Ready to see workspace data security in action? Start your free trial or get in touch. # https://cyflow.ai/blog/data-leaks-dont-need-hackers/ Data Leaks Don't Need Hackers. TL;DR: The next "breach" won't be a hacker in a hoodie. It'll be a spreadsheet in an email. The only winning move is shrinking the blast radius. ## The Pax8 Incident: Not a Hack, an "Oops" Last week, Pax8 confirmed an employee accidentally sent a CSV attachment to fewer than 40 recipients, but the file contained sensitive internal business data tied to roughly 1,800 partners. Customer names, licensing SKUs, counts, renewal dates, commercial details: the kind of information that turns into a targeting list the moment it escapes the room. And yes: threat actors reportedly started asking for it. ## The Uncomfortable Truth: Mistakes Are Inevitable We love "zero trust." We buy "AI security." We run tabletop exercises. Then someone clicks Send. Humans mis-deliver. Humans overshare. Humans attach the wrong file. Humans forget a permission was set to "anyone with the link." It's not incompetence. It's math. High-speed collaboration + constant context switching + a million tiny decisions = eventually, something slips. So if your security strategy is "prevent every mistake," you're building on vibes. ## The Goal Isn't Perfection. It's a Smaller Blast. When the inevitable happens, three things matter: - Guardrails: make it hard to share the wrong way. - Visibility: know what was shared, with whom, and whether it's sensitive. - Fast remediation: removing access should happen automatically, or at least with one click, not a project plan. That's how you turn "breach" into "near-miss." ## This Is Exactly Why We Started Cyflow Cyflow is built around a simple belief: data is the target. Everyone is after it: criminals, competitors, and increasingly, automated systems that scale faster than humans can keep up. In this Pax8-style scenario, Cyflow's Secure Share approach changes the outcome: - All sharing is routed through the company's OneDrive, not attachments, not personal accounts, not random storage, not "wherever the file happened to be." - Cyflow continuously tracks what's being shared and flags risky exposure, like "this sensitive dataset is effectively public." - Remediation is immediate: revoke access, close the link, cut the blast radius fast. You can't always stop the first mistake. But you can stop it from becoming a headline. ## If You Assume a Breach Will Happen, You Can Actually Win The organizations that do best aren't the ones who promise "never." They're the ones who design for "when." If you want to see how Cyflow reduces blast radius in Microsoft 365 sharing, take a look at our Microsoft 365 coverage and built-in agents, or reach out and we'll walk through it live. Sources: - BleepingComputer: Pax8 accidentally exposes data on 1,800 MSP partners. - Verizon: 2025 Data Breach Investigations Report (DBIR). - IBM: 2024 Cost of a Data Breach highlights. - NIST SP 800-171r3: Least privilege and information flow enforcement. # https://cyflow.ai/use-cases/ Cyflow use cases show how organizations use the platform to detect data exposure and remediate risk quickly. The use-case library focuses on practical workspace incidents involving sensitive files, Copilot readiness, MSP services, and rapid response. # https://cyflow.ai/use-cases/msp-onboards-finance-company/ An MSP onboarded a finance company to Cyflow and discovered critical data exposure within hours. The deployment completed quickly, the initial scan surfaced thousands of threats, and a public OneDrive containing credit card data was found. The challenge was lack of visibility into Microsoft 365 sharing configuration. Native admin tools did not surface oversharing at the level the MSP needed, and manual audits were incomplete. Cyflow helped by scanning the tenant, classifying sensitive files, prioritizing critical exposure, and enabling remediation. The MSP gained a concrete security win for the client and created a repeatable service model for future customers. Key results: - Deployment in roughly 30 seconds. - Initial scan within about one hour. - Thousands of threats detected. - Critical exposure involving credit card data discovered. - Same-day remediation and improved client confidence. # https://cyflow.ai/use-cases/retail-copilot-hr-exposure/ A retail organization preparing for Microsoft 365 Copilot discovered HR data that was accessible too broadly. Cyflow detected salary documents, agreements, and sensitive employee files that Copilot could potentially surface because access permissions already allowed too many users to reach them. The use case shows why AI readiness is a security issue. Copilot and similar assistants do not create all the exposure by themselves; they reveal and accelerate access paths that already exist. Cyflow helped the organization see which files were sensitive, who could access them, how AI exposure could occur, and what remediation steps should happen before Copilot rollout. Key lessons: - AI rollout should include sensitive-data exposure assessment. - HR, finance, legal, and executive documents require special attention. - Oversharing must be remediated before assistants make discovery easier. - AI readiness is both a security and change-management process. # https://cyflow.ai/compare/augmentt/ Cyflow vs Augmentt compares a unified workspace data and AI security platform against an MSP-built suite of Microsoft 365 management Autopilots plus a separate Microsoft Security Baseline product. The comparison covers M365 baselines, workspace data security, SSPM, and MSP operating model. Cyflow is one platform for data, SSPM, AI readiness, DLP, and M365 baselines, with autonomous AI agents that detect and remediate exposure without manual work. It is MSP-native by design with multi-tenant operations and a flat onboarding flow. Augmentt assembles MSP-grade configuration management from its Secure, Intune, and Engage Autopilots plus a separate Microsoft Security Baseline product. It is a strong fit for MSPs that want focused configuration drift control and Microsoft baseline management without workspace data classification, AI readiness, or autonomous remediation in the same platform. Augmentt is the better fit when an MSP only needs M365 baseline standardization and configuration drift management, has separate tooling for workspace data security and AI readiness, and prefers a vendor with a long MSP track record on Autopilot-style automation. # https://cyflow.ai/compare/avepoint/ Cyflow vs AvePoint compares a workspace-native security platform against an enterprise modular Microsoft 365 governance and compliance suite. The comparison covers workspace data security, DLP, SSPM, AI readiness, and M365 baselines. Cyflow consolidates data, SSPM, AI readiness, DLP, and M365 baselines into one platform with autonomous remediation, no manual policy authoring, and lower total cost of ownership. It is intentionally simple to operate and aimed at security teams and MSPs that want fast time-to-value. AvePoint provides an enterprise-grade modular Microsoft 365 governance and compliance suite, including AvePoint Confide for DLP and information protection and Policies and Insights for M365 governance. It is deepest in large Microsoft 365 estates with dedicated governance, records management, and information protection teams. AvePoint is the better fit for very large M365-only enterprises that already run a mature governance program, need granular records management and lifecycle policies, and have the staff to operate a modular governance suite over time. # https://cyflow.ai/compare/cavelo/ Cyflow vs Cavelo compares an autonomous workspace data and AI security platform against a data discovery and classification product that spans endpoints, cloud, and SaaS. The comparison covers workspace data security, DLP, SSPM, and AI readiness. Cyflow gives one platform for data, SSPM, AI readiness, DLP, and M365 baselines, with autonomous AI agents that both detect and remediate exposure across Microsoft 365 and Google Workspace. The focus is on closing risky access and oversharing, not just describing it. Cavelo focuses on broad data discovery and classification across endpoints, cloud, and SaaS, and produces risk findings that feed a remediation workflow operated by the customer. It is a strong fit for buyers whose first problem is locating sensitive data across many heterogeneous source types. Cavelo is the better fit when the engagement is centered on broad data discovery and classification across many data source types and the buyer does not need workspace SSPM, M365 baselines, AI readiness, or autonomous remediation in the same product. # https://cyflow.ai/compare/inforcer/ Cyflow vs Inforcer compares a unified workspace data and AI security platform against a single-product M365 policy and drift management tool built for MSPs. The comparison covers M365 baselines, workspace data security, AI readiness, SaaS app risk, and the MSP operating model. Cyflow combines M365 baselines with live-state detection and autonomous AI agents, plus workspace data security, AI readiness, Google Workspace, and SaaS app risk in one platform. There is no large per-tenant minimum spend, which lowers the floor for smaller MSP partners. Inforcer offers single-product M365 policy standardization and drift management, mature and MSP-native, with a large installed base, branded reports, PSA integration, and CIS, NIS2, ISO, NIST, and HIPAA alignment. It has a high minimum spend that is a known consideration for smaller MSPs. Inforcer is the better fit for MSPs that only need M365 policy standardization and drift management, already have separate tooling for workspace data security and AI readiness, and can absorb the per-tenant pricing floor. # https://cyflow.ai/compare/purview/ Cyflow vs Microsoft Purview compares a workspace-native security platform against Microsoft's first-party compliance and data governance product. The comparison covers workspace DLP, Microsoft 365 Copilot readiness, SaaS security, MSP operations, and remediation. Cyflow provides AI-powered classification, autonomous 24/7 remediation, Copilot, Gemini, and ChatGPT readiness, Google Workspace coverage, and MSP multi-tenancy at a fraction of Purview's cost and without an E5 license dependency. It is designed to be operated by lean teams or by MSPs across many tenants. Microsoft Purview offers native Microsoft compliance, records management, and eDiscovery. It is deepest in Microsoft-only estates that already have E5 licensing and dedicated compliance engineering teams. Purview is the better fit for large Microsoft-only organizations with E5 in place, a mature compliance and records program, and the engineering capacity to operate and tune sensitivity labels, DLP policies, and information barriers over time. # https://cyflow.ai/compare/varonis/ Cyflow vs Varonis compares a simple workspace-native data and AI security platform against an enterprise Data Security Platform with on-premises heritage. The comparison covers workspace data security, DLP, AI readiness, SSPM, and M365 baselines. Cyflow is one simple platform for workspace data, SSPM, AI readiness, DLP, and M365 baselines, with autonomous remediation, no SOC requirement, and a lower total cost of ownership. It is built for cloud workspaces and AI exposure rather than for on-prem file shares. Varonis offers an enterprise-grade Data Security Platform with deep data access controls, on-premises file share coverage, and SOC-driven data detection and response. It is a strong fit for organizations that already operate a mature SOC, need on-prem and cloud coverage in one tool, and have the budget for an enterprise platform. Varonis is the better fit when an organization runs a 24/7 SOC, needs deep on-premises file share coverage in addition to cloud workspaces, and is investing in a full data detection and response program rather than a focused workspace and AI exposure product. # https://cyflow.ai/terms/ Cyflow's Terms of Use govern the use of Cyflow services, including account responsibilities, acceptable use, payment terms where applicable, intellectual property, service limitations, disclaimers, and dispute-related provisions. Users should review the full Terms page for the binding legal text. Operationally, the Terms page is included here only as a legal summary. It is not a product-marketing page and should not be treated as the best source for product capabilities. # https://cyflow.ai/privacy/ Cyflow's Privacy Policy explains how Cyflow collects, uses, protects, and handles personal information and service-related data. It covers categories of data collected, usage purposes, service operations, security practices, sharing, retention, user rights, and contact information. Because Cyflow is a security product for Microsoft 365 and Google Workspace, privacy and data protection are central to user trust. The full Privacy Policy is the authoritative legal source. Last updated: 2026-04-26 Source: https://cyflow.ai/llms.txt