Cyber Security DLP Specialist (AI-Enabled Data Protection)

Selby Jennings; Singapore; On-site; SGD 80,000 - 140,000; Full time

Job summary

Selby Jennings is seeking a security-data specialist to evaluate and implement AI-enabled DLP and insider-risk capabilities, applying machine learning to identify anomalous data movement and reduce false positives. You will collaborate with vendors and internal teams to define requirements for AI-assisted data protection and ensure explainability of AI-driven findings in employee investigations.

The role focuses on governance of AI tools, data leakage risk assessment, and translating AI-related

Qualifications

• Practical experience using or evaluating AI-enabled DLP, insider-risk, behavioural analytics, or security-monitoring solutions.
• Strong understanding of the data leakage and intellectual-property risks associated with generative AI and Large Language Model platforms.

Responsibilities

• Evaluate and utilise AI-enabled security capabilities to enhance DLP monitoring, alert prioritisation, behavioural analysis, and internal data leakage investigations.
• Assess how machine learning and analytics can improve the identification of anomalous data movement and reduce false-positive DLP alerts.
• Work with vendors and internal technology teams to assess AI-enabled features within DLP, insider-risk, SIEM, and user-behaviour analytics platforms.
• Define functional requirements for AI-assisted data protection capabilities and provide clear implementation requests to IT and security engineering teams.
• Validate whether AI-generated findings and risk indicators are accurate, explainable, and appropriate for use in employee-related investigations.
• Assess data leakage risks arising from employees uploading sensitive information, intellectual property, source code, or confidential documents into external generative AI and Large Language Model platforms.
• Develop and maintain controls governing the use of public and enterprise AI tools to prevent unauthorised disclosure of proprietary information.

Skills

AI-enabled DLP

Insider-risk

Behavioural analytics

Security monitoring

Vendor management

Tools

SIEM

Generative AI platforms

Job description

• Evaluate and utilise AI-enabled security capabilities to enhance DLP monitoring, alert prioritisation, behavioural analysis, and internal data leakage investigations.
• Assess how machine learning and analytics can improve the identification of anomalous data movement and reduce false-positive DLP alerts.
• Work with vendors and internal technology teams to assess AI-enabled features within DLP, insider-risk, SIEM, and user-behaviour analytics platforms.
• Define functional requirements for AI-assisted data protection capabilities and provide clear implementation requests to IT and security engineering teams.
• Validate whether AI-generated findings and risk indicators are accurate, explainable, and appropriate for use in employee-related investigations.
• Assess data leakage risks arising from employees uploading sensitive information, intellectual property, source code, or confidential documents into external generative AI and Large Language Model platforms.
• Develop and maintain controls governing the use of public and enterprise AI tools to prevent unauthorised disclosure of proprietary information.

Requirements

• Practical experience using or evaluating AI-enabled DLP, insider-risk, behavioural analytics, or security-monitoring solutions.
• Strong understanding of the data leakage and intellectual-property risks associated with generative AI and Large Language Model platforms.
• Ability to translate AI-related data protection risks into DLP policies, monitoring requirements, and implementation requests for technical teams.