Your M365 Tenant. Our Watchful Eye.
Microsoft 365 is the center of modern work. CtrlLayer extends endpoint security into your M365 tenant: monitoring user risk, tracking Secure Score, detecting sign-in anomalies, and managing enterprise app consent.
User Risk Detection
Microsoft Entra ID Protection assigns risk levels to users based on detected anomalies: impossible travel, leaked credentials, sign-ins from anonymous IP addresses, and malware-linked IP addresses. CtrlLayer pulls these risk signals into your endpoint security dashboard and correlates them with device-level behavior.
This correlation is where CtrlLayer adds unique value. When a user's M365 risk score spikes, CtrlLayer can show you what that user's endpoint has been doing: elevation requests, network connections, processes launched, and files accessed. The combination of cloud risk signals with endpoint telemetry creates a complete picture that neither data source provides alone.
Risk Score Dashboard
View all user risk levels across your M365 tenant in a single dashboard. Filter by risk level, trend direction, and organization. Identify users whose risk scores have recently increased and prioritize investigation.
Endpoint Correlation
When M365 flags a user as at-risk, instantly see their endpoint activity: recent elevation requests, network connections, security events, and device health scores. Determine whether the risk is a false positive or an active compromise.
Policy Integration
Configure elevation policies that respond to M365 risk levels. High-risk users can be automatically moved to stricter elevation policies, requiring manual approval for all requests until the risk is resolved.
Secure Score Monitoring
Microsoft Secure Score measures your M365 tenant's security posture across identity, data, device, app, and infrastructure categories. CtrlLayer tracks your Secure Score over time, alerts on score decreases, and provides context for improvement recommendations.
For MSPs managing multiple client tenants, Secure Score monitoring provides a standardized metric for comparing security posture across clients. Identify which clients have the lowest scores, which have declining trends, and where improvement actions will have the highest impact.
Trend Tracking
Monitor Secure Score changes daily. Detect when configuration changes, policy modifications, or new service deployments impact your security posture. Historical trend data enables month-over-month and quarter-over-quarter comparisons for executive reporting.
Category Breakdown
See which Secure Score categories are strongest and weakest: Identity, Data, Device, App, and Infrastructure. Focus improvement efforts where they will have the most impact on your overall score.
Multi-Tenant Comparison
For MSPs: compare Secure Scores across all managed tenants. Identify outliers, standardize baseline configurations, and demonstrate security value to clients with comparative metrics.
Sign-In Anomaly Detection
Compromised accounts do not always trigger traditional alerts. An attacker using stolen credentials from a new location might pass MFA if they have also compromised the user's phone or MFA method. Sign-in anomaly detection identifies suspicious authentication patterns that require investigation.
Impossible Travel
Detects when the same user signs in from two geographically distant locations within a time frame that makes physical travel impossible. A login from New York at 2:00 PM followed by a login from Moscow at 2:30 PM is a clear indicator of credential compromise.
Unfamiliar Location
Flags sign-ins from locations where the user has never authenticated before, especially from countries where the organization has no operations. While not always malicious, these sign-ins warrant investigation.
Anonymous IP Detection
Identifies sign-ins originating from known VPN exit nodes, Tor exit nodes, and anonymous proxy services. Legitimate users rarely authenticate through anonymization services during business hours.
Password Spray Detection
Detects patterns consistent with password spray attacks: many accounts receiving failed login attempts with common passwords in a short time window. This technique avoids account lockout thresholds by trying one password across many accounts.
Token Anomalies
Identifies suspicious token usage patterns: tokens used from unexpected IP addresses, token replay attempts, and unusual token lifetime extensions that may indicate session hijacking.
Legacy Protocol Authentication
Flags authentication attempts using legacy protocols (IMAP, POP3, SMTP) that bypass modern authentication and MFA. Attackers frequently target these protocols with harvested credentials.
License Management and Optimization
M365 licensing is complex and expensive. Organizations frequently pay for licenses that are unused, underutilized, or misconfigured. CtrlLayer provides visibility into license allocation and usage to help optimize spending.
License Inventory
See every M365 license across your tenant: type, assignment, activation status, and last usage date. Identify orphaned licenses assigned to departed employees and reclaim them.
Usage Analysis
Identify underutilized licenses. Users assigned E5 licenses who only use email represent an optimization opportunity. Downgrade recommendations are based on actual service usage patterns.
Security Implications
Not all M365 license tiers include the same security features. Identify users who lack security capabilities included in higher-tier licenses, such as Advanced Threat Protection or Information Protection.
Enterprise App Consent Management
Enterprise application consent is one of the most overlooked security risks in M365. When users grant third-party applications access to their M365 data, they may be granting excessive permissions to applications with questionable security practices. This creates data exfiltration pathways that bypass all other security controls.
CtrlLayer monitors enterprise app consents across your M365 tenant, identifying applications with excessive permissions, applications from unverified publishers, and consent grants that violate organizational policy.
The Integration Advantage
Standalone M365 security tools see cloud signals. CtrlLayer sees cloud signals correlated with endpoint behavior.
Cloud + Endpoint Correlation
A suspicious M365 sign-in from an unusual location becomes significantly more concerning when the associated endpoint is simultaneously making outbound connections to known C2 servers. CtrlLayer connects these signals automatically.
Unified Response
When an M365 account compromise is confirmed, respond across both cloud and endpoint from one platform. Revoke M365 sessions, isolate the endpoint, and review the complete timeline of both cloud and device activity.
Single Pane of Glass
No switching between the Microsoft 365 admin center, Entra ID portal, Defender portal, and your endpoint management console. CtrlLayer surfaces the M365 security signals that matter alongside your endpoint security data.