IT Security Analyst

Key Responsibilities

• Support the design and deployment of enterprise security solutions across cloud, identity, endpoint, network, and AI environments.
• Assist in the implementation and management of tools such as Data Loss Prevention (DLP), Endpoint Detection & Response (EDR), Identity & Access Management (IAM), SIEM, and secure web solutions.
• Help identify, assess, and remediate security risks, vulnerabilities, and threats across infrastructure, applications, and AI services.
• Contribute to efforts around AI security, including evaluating generative AI usage, data exposure risks, and shadow AI activity.
• Partner with cross-functional teams to align systems with security and governance standards.
• Participate in testing and evaluation of emerging security technologies, including AI-focused tools.
• Help develop technical documentation, playbooks, and governance guidelines.
• Stay current with evolving cybersecurity and AI-driven threats.

Requirements & Tech Stack

• Bachelor’s degree in Computer Science, Information Security, Information Technology, or related field (or equivalent experience).
• 0–2 years of experience in IT, systems, networking, or cybersecurity.
• Foundational knowledge of networking concepts (TCP/IP, DNS, VPNs).
• Understanding of operating systems such as Windows and Linux.
• Basic security fundamentals, including authentication, least privilege, and encryption.
• Interest in AI/ML concepts, generative AI, or AI-related security risks.
• Strong collaboration, communication, and problem-solving skills.
• Demonstrated curiosity and eagerness to learn.

What Could Set You Apart

• Exposure to cloud platforms such as Azure or AWS.
• Familiarity with identity and access management or directory services.
• Experience with endpoint security, SIEM tools, or vulnerability management.
• Knowledge of AI technologies such as large language models (LLMs), APIs, or ML models.
• Experience with scripting or automation (PowerShell, Python).
• Familiarity with security tools or logging platforms (e.g., Microsoft Sentinel, Splunk).
• Entry-level certifications such as Security+, AZ-500, SC-900, or AI-900.
• Exposure to security or AI governance frameworks such as NIST or ISO standards.