Description

This curriculum spans the equivalent of a multi-workshop operational program, covering the technical, procedural, and cross-functional workflows required to detect, investigate, and respond to insider threats within a live SOC environment.

Module 1: Defining the Insider Threat Landscape

Selecting which user roles to monitor based on access privilege, data sensitivity, and turnover risk within HR, finance, and R&D departments.
Classifying insider threats into malicious, negligent, and compromised categories to align detection logic and response protocols.
Integrating organizational charts into threat models to identify high-risk personnel with elevated privileges or lateral movement capabilities.
Mapping data flows for critical assets to determine where insider exfiltration is most likely to occur.
Establishing thresholds for acceptable versus suspicious behavior based on job function, such as bulk data access by database administrators.
Documenting past security incidents involving internal actors to inform detection rule baselines and exception handling.

Module 2: Data Collection and Telemetry Integration

Configuring endpoint agents to capture file copy operations, USB device usage, and clipboard interactions without degrading system performance.
Normalizing log formats from Active Directory, cloud storage (e.g., SharePoint, OneDrive), and HRIS systems for correlation in SIEM platforms.
Enabling PowerShell and command-line logging across workstations while managing log volume and retention policies.
Deploying network packet brokers to mirror traffic for DLP and user behavior analytics without introducing latency.
Obtaining legal and HR approvals before collecting application-level activity such as email metadata or collaboration tool usage.
Implementing log source redundancy to ensure continuity when endpoints are offline or logging services fail.

Module 3: User and Entity Behavior Analytics (UEBA)

Tuning baseline activity profiles for different roles, such as developers accessing production systems during off-hours.
Adjusting anomaly scoring thresholds to reduce false positives when users travel or work from new locations.
Correlating failed login attempts with subsequent successful access from atypical geolocations.
Identifying data staging behaviors by detecting repeated small file downloads preceding large transfers.
Handling shared account scenarios by requiring justification or restricting access to named individuals.
Integrating peer group analysis to flag deviations, such as a sales representative accessing engineering repositories.

Module 4: Policy Development and Risk Scoring

Defining risk score weightings for actions like mass file deletion, printing sensitive documents, or accessing competitor websites.
Creating escalation policies that specify when alerts require immediate investigation versus periodic review.
Documenting acceptable exceptions, such as data migration tasks, to prevent alert fatigue during planned operations.
Aligning insider threat policies with regulatory requirements like GDPR, HIPAA, or SOX for data access auditing.
Establishing review cycles for policy effectiveness, incorporating feedback from incident response outcomes.
Implementing dynamic risk scoring adjustments based on user status changes, such as resignation or disciplinary action.

Module 5: Alert Triage and Investigation Workflows

Designing triage procedures that prioritize alerts based on data sensitivity, user role, and exfiltration method.
Using timeline analysis to reconstruct sequences of events across endpoints, network, and cloud services.
Validating whether detected behavior aligns with documented business processes or represents true anomalies.
Coordinating with HR to verify employee status changes before initiating technical investigations.
Preserving forensic artifacts such as memory dumps, registry changes, and file metadata for potential legal proceedings.
Documenting investigation findings in structured reports to support disciplinary or legal decisions.

Module 6: Cross-Functional Collaboration and Escalation

Establishing formal communication protocols between SOC, HR, legal, and executive leadership for incident disclosure.
Defining criteria for involving law enforcement, including data breach thresholds and jurisdictional considerations.
Conducting tabletop exercises with HR and legal to test response procedures for employee termination scenarios.
Managing disclosure of insider incidents to affected parties while preserving investigation integrity.
Coordinating with physical security to correlate badge access logs with digital activity timelines.
Requiring multi-party authorization for actions such as account suspension or forensic imaging of employee devices.

Module 7: Legal, Ethical, and Privacy Considerations

Ensuring monitoring practices comply with local labor laws and employee privacy expectations in multinational environments.
Implementing data minimization techniques to avoid collecting personal or non-work-related user content.
Obtaining documented employee consent for monitoring as part of onboarding and acceptable use policies.
Restricting access to insider threat investigation data based on need-to-know and role-based permissions.
Conducting periodic privacy impact assessments for monitoring tools and data retention practices.
Handling data from departing employees in accordance with offboarding checklists and legal holds.

Module 8: Continuous Improvement and Metrics

Tracking mean time to detect (MTTD) and mean time to respond (MTTR) for insider threat incidents across quarters.
Measuring false positive rates per detection rule to identify candidates for refinement or deprecation.
Conducting post-incident reviews to update detection logic based on attacker tactics and tooling.
Assessing coverage gaps by auditing which critical systems and user groups are included in monitoring.
Benchmarking detection capabilities against MITRE ATT&CK insider threat tactics and techniques.
Rotating detection rules and analytics models to prevent adversarial awareness and adaptation by malicious insiders.