Insider Risk Analyst

Insider Risk Analyst

Responsibilities

• Lead or support insider risk investigations, including evidence preservation and forensic analysis.
• Leverage AI/ML to quickly assess potential threats and enable proactive, informed decisions, including blocking suspicious activities like unauthorized data transfers or flagging risky user behavior.
• Ability to utilize AI/ML and identify, assess, and mitigate potential security threats posed by individuals, leverage AI-driven solutions to analyze data, pinpoint risky behaviors, and generate actionable insights and recommendations for program resilience and mitigation strategies.
• Facilitate and support the coordination and response to active insider threats, collaborating with counterintelligence, threat intelligence, and law enforcement teams.
• Correlate behavioral, contextual, and technical indicators to identify and assess potential insider threat incidents.
• Support investigations by collecting and analyzing digital evidence, documenting findings, and escalating matters to the appropriate parties.
• Monitor user activity data and alerts to identify potential indicators of insider threats. Analyze system logs, network traffic, and endpoint alerts for suspicious activity.
• Correlate data from multiple sources (including user and entity behavior analytics (UEBA), data loss prevention (DLP), security information and event management (SIEM) tools, and endpoint detection and response (EDR) solutions) to detect anomalies and patterns indicative of insider threats.
• Develop and implement detection methods and strategies, including risk scoring and threat analysis tools, and refine alerts based on triage results, understanding of insider threats, and current events.
• Work closely with internal teams such as CISO Operations, Legal, Human Resources, and Counterintelligence, as well as external partners, to address and resolve insider risk incidents.

Technical Skills

• Proficiency in cybersecurity concepts, network protocols, operating systems, encryption, authentication mechanisms, and security tools like SIEM, UEBA, and DLP solutions.
• Utilize AI-powered platforms like User and Entity Behavior Analytics (UEBA) to identify anomalous activities and patterns indicative of insider threats.
• Cultivate and heighten AI/ML models to refine detection capabilities by leading the creation and tuning rules, alerts, and risk scoring models to enhance efficiency and accuracy.
• Familiarity with insider threat regulations, information security reports, and relevant legal and privacy regulations.
• Experience conducting internal investigations, collecting digital evidence while maintaining chain of custody, and understanding forensic analysis tools.
• Strong ability to analyze complex data, identify patterns and trends, apply critical thinking and logic to evaluate evidence, and use quantitative and qualitative methods to assess risk.
• Strong analytical skills to interpret large volumes of data and correlate disparate security signals.
• Knowledge of incident response processes and digital forensics fundamentals related to insider threat scenarios.
• Strong communication skills for cross-team coordination, reporting, and documenting of findings.
• Ethical judgment and discretion, especially when handling sensitive personnel and organizational data.

Preferred Qualifications

• A degree from an accredited College/University in the applicable field of services is required. If the individual's degree is not in the applicable field, then four additional years of related experience is required.
• Graduate certificates, specifically in Insider Risk Management and Mitigation to provide in-depth expertise in understanding, investigating, and managing insider threats.
• 8+ years of experience in analyzing technical and non-technical indicators related to insider activity, including user behavior, network activity, system logs, and data access patterns.
• Knowledge of AI/ML concepts, algorithms, and applications in insider threat detection, including supervised and unsupervised learning, deep learning, and anomaly detection.
• Need a blend of technical, analytical capabilities, and soft skills to navigate the complex world of AI-driven insider threat detection and prevention.
• Hands-on experience in insider threat analysis.