Threat Detection
Detect Insider Threats Before Damage is Done
Insider threats — whether malicious or negligent — account for 60% of data breaches (Ponemon Institute, 2023). The average insider threat takes 85 days to contain and costs $15.4 million per incident. CtrlLayer's Blue Team correlation engine detects the behavioral patterns that signal insider threats in real-time, long before traditional security tools catch them.
Behavioral Patterns We Detect
The Blue Team correlation engine analyzes events across multiple data sources to identify complex attack patterns that single-source monitoring would miss.
Brute Force Attempts
Repeated failed authentication or elevation requests from a single user or device that exceed normal thresholds.
Detection Method
- Failed elevation request rate exceeding policy threshold
- Authentication failures correlated across multiple applications
- Time-based pattern analysis distinguishing automated from manual attempts
- Cross-device correlation detecting distributed brute force campaigns
Automated Response
- Temporary account lockout after threshold breach
- Alert escalation to security team with full event context
- Device risk score elevation for enhanced monitoring
Lateral Movement
Unusual network connections between internal endpoints or access to systems outside the user's normal pattern.
Detection Method
- Network connection monitoring identifies connections to previously unseen internal hosts
- Elevation requests for applications on devices outside the user's assigned fleet
- Rapid sequential access across multiple endpoints within a short time window
- Correlation with known lateral movement TTPs from threat intelligence
Automated Response
- Network connection logging for forensic analysis
- Real-time alert with connection graph visualization
- Option for automated device isolation upon confirmed detection
Privilege Escalation
Attempts to gain elevated access beyond what policies authorize, or unusual patterns in elevation request behavior.
Detection Method
- Elevation requests for applications outside the user's normal working set
- Requests at unusual times (after hours, weekends) for users with regular schedules
- Sequential elevation requests for increasingly sensitive applications
- Attempts to elevate applications blocked by policy (repeated policy bypass attempts)
Automated Response
- Flagged for immediate security review
- Temporary freeze on new elevation grants for the user
- Forensic snapshot of all user activity in the detection window
Policy Bypass
Attempts to circumvent security controls, disable monitoring, or manipulate the agent.
Detection Method
- Anti-tamper detection identifies attempts to stop, modify, or interfere with the agent service
- Policy cache manipulation attempts detected through integrity verification
- Attempts to use expired or forged elevation grants (signature validation failure)
- Suspicious process activity targeting security service components
Automated Response
- Immediate high-severity alert to security operations
- Device quarantine recommendation
- Complete event capture for forensic investigation
USB Data Exfiltration
Unusual removable media activity indicating potential data theft or unauthorized data transfer.
Detection Method
- USB device connections at unusual times or from unusual device types
- Large data transfer volumes to removable media
- Repeated USB device connections following elevation of sensitive applications
- Use of previously unseen USB devices on endpoints with access to sensitive data
Automated Response
- USB access can be automatically revoked upon detection
- Alert with full device identification and data transfer context
- Forensic log of all files accessed during the suspicious session
Anomalous Network Activity
Network connections to unusual destinations, unexpected protocols, or suspicious data transfer patterns.
Detection Method
- Connections to known malicious IPs/domains from threat intelligence (48,000+ indicators)
- Unusual outbound connection volume or timing patterns
- Connections to cloud storage or file-sharing services not approved by policy
- DNS query patterns consistent with data exfiltration or C2 communication
Automated Response
- Connection blocking for known-bad destinations
- Network activity snapshot for incident response
- Cross-correlation with other behavioral indicators for threat scoring
The Blue Team Correlation Engine
Multi-Source Correlation
The engine correlates events from multiple data sources — authentication logs, elevation requests, network connections, USB activity, and application launches — to identify complex attack patterns that single-source monitoring would miss entirely.
Severity Classification
Each detected pattern is assigned a severity score based on the type of behavior, the sensitivity of the systems involved, the user's risk profile, and the confidence of the detection. This enables security teams to prioritize their response.
Temporal Analysis
The engine considers the timing of events — not just individual timestamps but the sequence and velocity of actions. A series of normal-looking events happening in rapid succession can indicate automated tooling or scripted attacks.
Baseline Learning
The engine establishes behavioral baselines for users and devices. Deviations from established patterns are flagged for review, enabling detection of previously unknown attack techniques.
Real-Time Response
Event Capture
Suspicious behavior is captured by the endpoint agent and transmitted to the Blue Team engine.
Pattern Correlation
Event is correlated against behavioral baselines, other recent events, and threat intelligence indicators.
Alert Generation
If the correlation threshold is met, a severity-scored alert is generated with full event context.
Automated Response
Pre-configured automated responses execute — device isolation, privilege revocation, USB lockdown.
Forensic Evidence
All events are preserved in hash-chain tamper-proof audit logs for investigation and legal proceedings.
Threats Come From Inside, Too
See how CtrlLayer detects insider threats that other tools miss.
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