Enterprise IAM Monitoring
Monitor and secure identity infrastructure with behavioral analytics, privilege escalation detection, session management, and multi-cloud IAM integration across AWS, Azure, and GCP.
Identity Is the New Perimeter
With the shift to cloud and remote work, identity has become the primary attack surface. Over 80% of breaches involve compromised credentials, and privilege escalation is the most common technique used by advanced persistent threats to move laterally within organizations.
QBITEL IAM Monitoring uses machine learning to establish behavioral baselines for every user and service account, detecting anomalous access patterns, privilege escalation attempts, and compromised sessions in real-time across all cloud environments.
IAM Security Capabilities
Behavioral Analytics (UEBA)
User and Entity Behavior Analytics builds ML-powered baselines for every identity, detecting anomalous access patterns, unusual login locations, and abnormal resource usage.
- Per-user behavioral baselines
- Anomalous access pattern detection
- Risk scoring for every authentication event
Privilege Escalation Detection
Detects unauthorized privilege changes, role modifications, and permission escalation attempts across IAM policies, service accounts, and federated identities.
- IAM policy change monitoring
- Service account abuse detection
- Cross-account privilege analysis
Session Monitoring
Real-time monitoring of active sessions across all applications and cloud services. Detect session hijacking, token theft, and concurrent session anomalies.
- Session hijacking detection
- Token theft and replay detection
- Impossible travel detection
Multi-Cloud IAM
Unified view of identity and access across AWS IAM, Azure AD, and GCP IAM. Correlate access patterns and detect cross-cloud lateral movement attempts.
- AWS IAM, Azure AD, GCP IAM
- Cross-cloud identity correlation
- Unified permission inventory
Detection Pipeline
Identity Data Collection
Ingest authentication logs, IAM policy changes, session events, and access logs from all cloud providers and identity providers.
Behavioral Baseline
ML models build per-user and per-entity behavioral baselines covering access patterns, timing, locations, and resource usage.
Anomaly Detection
Real-time comparison against baselines detects anomalous behavior, privilege escalation, credential abuse, and session manipulation.
Response and Remediation
Automated response actions including session termination, permission revocation, MFA step-up, and integration with Zero-Touch Security for autonomous incident handling.
Ready to Secure Your Identities?
Deploy behavioral analytics and privilege monitoring across your entire identity infrastructure.