Senior AI Security Engineer - Sacramento, 95814

Senior AI Security Engineer - Sacramento, 95814, United States of America

How we LEAD:

Senior Insider Threat Analyst, Global Insider Threat Management reports to the VP, Global Insider Threat Management. This role is responsible for detecting, investigating, and responding to potential data loss, insider threat, and AI-related security incidents across a global enterprise using SIEM, DLP, UEBA, and emerging AI security tools.

The analyst will proactively identify risky behaviors, fine-tune detection capabilities, and deliver clear, actionable investigative insights that strengthen the organization’s overall data protection and insider threat posture.

How you’ll CREATE:

• Respond to DLP alerts, monitor DLP consoles and analyze security events to identify potential data loss incidents.

• Hands-on investigation and threat hunting in SIEM, UEBA and DLP tools.
• Respond to alerts from AI security tools for monitoring and protection.
• Respond to AI-related security incidents or abuse.
• Conduct in-depth investigations of suspected insider threat incidents, including unauthorized access, data exfiltration, and policy violations.
• Regularly review and fine-tune DLP and UEBA rules/policies to reduce false positives and improve detection accuracy.
• Develop and implement insider threat detection use cases, alert rules, and incident response playbooks.
• Prepare detailed reports on investigation findings, risk assessments, and recommended remediation actions.
• Assess potential insider threats by evaluating the risks associated with users, data, and systems.
• Participate in data protection audits, compliance reviews, and risk assessments related to DLP.
• Contribute to knowledge-sharing initiatives by documenting case studies from DLP and UEBA incidents.
• Assist business units in identifying sensitive data and map out potential leakage points.
• Gathers documentation and contributes to the Global Insider Threat Management Team knowledge base.
• Organizes and facilitates cross-function insider threat project alignment with all applicable stakeholders to accomplish common goals.
• Duties as assigned.

Bring your VIBE:

• High level of integrity, thrustworthiness, and the ability to handle sensitive information with discretion

• Investigation and threat hunting skills
• Ability to work under pressure and handle multiple projects with tight deadlines across a global enterprise
• Self-motivated, detail oriented with analytical skills
• Good written and verbal communication skills, with the ability to convey complex technical information to non-technical stakeholders
• Identify trends and behavioral patterns that may indicate insider threat activity, ensuring alerts are risk-weighted and actionable
• High level of integrity and the ability to handle sensitive information with discretion
• Good interpersonal and group dynamic skills
• Strong collaborator and a team player
• Good ability to influence without explicit authority
• Willingness to participate in on-call rotations and respond to incidents outside of normal business hours if necessary
• Excellent analytical skills and a creative problem-solving mindset
• Good understanding of artificial intelligence and machine learning concepts and workflows
• Familiarity with the unique threats and vulnerabilities associated with AI/ML
• 3-5 years of experience in cybersecurity, information security, or a related field with a focus on insider threat analysis and investigation.
• Proven experience in digital forensics, incident response, or threat hunting.
• Hands-on investigation and threat hunting in SIEM (Security Information and Event Management), DLP (Data Loss Prevention), UEBA (User and Entity Behavior Analytics) and other relevant security technologies.
• Hands-on experience or exposure to AI technologies
• Bachelor's degree in Cybersecurity, Information Assurance, or related field experience.
• Experience with insider threat detection platforms like SIEM, DLP, and UEBA.
• Knowledge of relevant legal and regulatory requirements related to data protection and privacy.