Insider Threat Detection

UEBA systems establish a baseline of normal activity for every user and device (entity) on the network. Advanced machine learning models then analyze real-time data streams to detect anomalous deviations from this baseline.

• Peer Group Analysis: Compares a user's activity against their departmental peers to flag statistical outliers.
• Sequence Analysis: Identifies dangerous chains of events, such as a user escalating privileges followed immediately by large-scale data exfiltration.
• Example: A service account that normally only queries a database during business hours suddenly performing bulk SELECT * commands at 3:00 AM.

DLP strategies enforce content-aware security policies directly on endpoints, network egress points, and cloud applications. The system inspects data in motion, in use, and at rest to prevent unauthorized exfiltration.

• Exact Data Matching (EDM): Fingerprints sensitive structured data like customer database records to detect partial or complete matches, rather than relying solely on regex patterns.
• Removable Media Controls: Blocks the copying of sensitive files to USB drives or Bluetooth devices unless explicitly authorized by a Just-In-Time (JIT) access policy.
• Example: A DLP agent blocking an employee from pasting source code into a personal webmail client or an unapproved generative AI chat interface.

PAM solutions secure, control, and monitor access to an organization's most critical systems by privileged users. Monitoring these sessions is crucial, as privilege escalation is a primary objective for malicious insiders.

• Session Recording and Keystroke Logging: Captures a full video replay and command log of every privileged session for forensic analysis, acting as a non-repudiation mechanism.
• Credential Vaulting: Automatically rotates and injects credentials for service accounts, preventing developers or administrators from ever knowing the plain-text password.
• Example: A database administrator using a shared root account to manually modify financial records; PAM identifies the specific individual through session recording despite the shared credential.

Deception technology plants realistic but fake honeytokens—such as database records, files, or credentials—throughout the environment. Any interaction with these decoys signals a high-fidelity alert, as no legitimate business process should access them.

• Low False Positive Rate: Unlike anomaly detection, which can generate noise, a honeytoken alert is a definitive indicator of unauthorized reconnaissance or lateral movement.
• Embedded Credentials: Fake service account keys placed in memory or on a file share that, when used, immediately trigger an alarm and map the attacker's path.
• Example: A fake spreadsheet named Employee_Salaries_2025.xlsx placed on a network share that alerts the security operations center the moment it is opened or copied.

A SIEM acts as the central nervous system, aggregating log data from UEBA, DLP, PAM, and network tools to perform multi-source correlation. It connects seemingly innocuous events from disparate systems to reveal a composite attack narrative.

• Rule-Based and Statistical Correlation: Combines predefined rules (e.g., '10 failed logins followed by a success') with statistical models to detect complex, low-and-slow attack patterns.
• User Entity Linking: Ties together a user's identity across on-premises Active Directory, cloud SSO, and VPN logs to track lateral movement across hybrid environments.
• Example: Correlating a badge reader 'tailgating' event with a subsequent login from an unused workstation and a spike in outbound network traffic to a known suspicious IP address.

An immutable audit trail is a chronological, tamper-proof record of all system activities. For insider threat programs, this ensures that once a malicious act is detected, the evidence required for legal or human resources action is forensically sound and cannot be repudiated.

• Write-Once, Read-Many (WORM) Storage: Logs are stored on compliant storage that prevents alteration or deletion, even by root users, maintaining chain of custody.
• Cryptographic Hashing: Each log entry is hashed and chained to the previous entry, making retroactive insertion or deletion computationally infeasible.
• Example: A departing employee who deletes their local email archive before resigning; the immutable mail server logs and cloud API call records provide an unalterable record of the deletion event.

DLP acts as the enforcement arm that prevents an insider from exfiltrating sensitive data once a threat is identified. It operates at three levels:

• Endpoint DLP: Monitors USB drives, printers, and local file transfers.
• Network DLP: Inspects outbound traffic for sensitive patterns (e.g., credit card numbers, source code).
• Cloud DLP: Enforces policies on data at rest in SaaS applications. DLP policies define what constitutes a violation, enabling automatic blocking, encryption, or alerting when a user attempts unauthorized data movement.

A high-fidelity signal for detecting credential theft by a malicious insider or external attacker. This analysis flags authentication events where the physical time-distance between two logins is impossible given real-world travel constraints. For example, a login from New York followed by a login from London 15 minutes later is a critical anomaly. Modern identity providers and SIEMs calculate geo-velocity to automatically trigger step-up authentication or account lockdown, preventing an insider from selling credentials to an external party.

A proactive detection strategy that plants fake digital assets—such as decoy database records, fake credentials, or bogus S3 buckets—within the environment. No legitimate user should ever access these assets. Any interaction with a honeytoken generates a high-confidence alert, as it indicates an insider is exploring unauthorized territory or an attacker has breached the perimeter. Deception grids map lateral movement paths, providing early warning of an active threat without the noise of false positives.

The forensic backbone of any insider threat investigation. An immutable audit trail is a tamper-proof, chronological record of all system activities, including file access, configuration changes, and authentication events. Once written, logs cannot be altered or deleted—even by root users. This integrity is often guaranteed by cryptographic chaining or append-only storage architectures. In the event of a malicious insider attempting to cover their tracks, the immutable log provides the unassailable ground truth required for legal action and root cause analysis.