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Information Security Analyst (AI & Automation)
Job Location:
Monthly Salary:
Posted:
12 June 2026 (30+ days ago)
Posted:
Application Deadline:
9 September 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Key Responsibilities
AI Agents & Security Automation
- Design develop and implement AI agents for information security operations.
- Automate repetitive security tasks such as:
- Access and entitlement reviews
- Audit and compliance evidence collection
- Security policy guidance and FAQ management
- Security questionnaire intake and risk assessment triage
- Security documentation and reporting
AI Governance & Security Controls
- Define and implement security guardrails for AI agents and automation systems.
- Manage Role-Based Access Control (RBAC) and least-privilege access.
- Establish human-in-the-loop approval processes for sensitive actions.
- Ensure logging monitoring and auditability of AI agent activities.
- Create escalation workflows for policy violations and low-confidence actions.
Collaboration & Platform Security
- Work with engineering AI and data teams to integrate AI-driven security solutions.
- Support the security of cloud infrastructure data platforms APIs and enterprise applications.
- Participate in security reviews for AI data and digital transformation initiatives.
- Test and validate AI-powered security tools for reliability accuracy and ethical usage.
Required Qualifications
Education
- Bachelor's degree in Information Security Computer Science Information Systems Data Science Engineering or a related field.
- Equivalent practical experience through certifications internships bootcamps or self-learning is acceptable.
Experience
- 1–4 years of experience in:
- Information Security / Cybersecurity
- Cloud Engineering or Platform Operations
- Data Engineering with security exposure
- Security support for cloud infrastructure applications APIs or internal tools
- AI/ML platforms automation initiatives or AI-assisted workflows from a security perspective
Preferred Skills
- Knowledge of cybersecurity principles and access management.
- Understanding of compliance and governance processes.
- Familiarity with AI/ML concepts AI governance and automation tools.
- Exposure to cloud platforms and modern data environments.
- Strong analytical and problem-solving skills.
- Good communication and stakeholder management skills.
- Ability to collaborate with cross-functional technical teams.
