AI Security Analyst
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Job Description
AI Security Analyst ensuring secure adoption of AI tools and governance for a premier engineering firm. Collaborating with cross-functional teams to manage AI security risks and compliance effectively.
Responsibilities:
- The AI Security Analyst is responsible for evaluating, governing, and securing the organization’s adoption and use of artificial intelligence tools, platforms, and integrations.
- Working under the direction of the Information Security Manager, this role ensures that AI technologies are deployed with appropriate security controls, data protection standards, and risk oversight across ai2io’s multi-tenant managed services environment.
- Evaluates AI tools, SaaS integrations, and platform capabilities for security risk, data exposure, and compliance alignment before and during organizational adoption.
- Develops and maintains the organization’s AI governance framework, including usage policies, application approval workflows, and data classification standards for AI contexts.
- Coordinates with AI platform engineering teams to ensure sensitivity labels, access controls, and data boundaries are consistently governed under a centralized security standard.
- Monitors AI usage across the organization using Microsoft Defender for Cloud Apps and other telemetry sources to identify shadow AI, unauthorized integrations, and data leakage risks.
- Supports GRC and identity security functions as a secondary focus, including compliance evidence collection, access reviews, and framework alignment.
Requirements:
- Demonstrated understanding of AI and large language model security risks, including data leakage, prompt injection, excessive permissions, and shadow AI adoption.
- Experience with Microsoft 365 security and compliance tools, including Microsoft Purview (DLP, sensitivity labels, data classification), Defender for Cloud Apps, and Entra ID.
- Familiarity with OAuth 2.0, API permission models, and application consent frameworks in enterprise environments.
- Experience with data classification, sensitivity labeling, and data loss prevention concepts and implementation.
- Understanding of compliance frameworks (NIST CSF, SOC 2, NIST AI RMF) and the ability to map AI-related controls to framework requirements.
- Familiarity with cloud security principles in Microsoft Azure, including identity, access management, and data residency considerations.
- Scripting or automation capability (PowerShell, Python, or similar) for reporting and administrative tasks is a plus.
- Strong research and analytical skills with the ability to evaluate emerging technologies and translate findings into actionable security recommendations.
- Clear written and verbal communication skills, including the ability to explain AI security risks and control rationale to both technical and non-technical stakeholders.
- Ability to work cross-functionally with engineering, operations, and business teams to embed security into AI adoption decisions.
- Comfort operating in a fast-moving environment where AI capabilities and associated risks are evolving rapidly.
- Ability to work effectively both independently and as part of a small, collaborative security team.
Benefits:
- Choice of comprehensive medical plans (including two PPO-style plans and a HDHP w/ HSA option)
- Flex spending accounts (FSA)
- Dental and vision plans
- Comprehensive medical, dental and vision benefits extended to spouse / domestic partner and dependent children up to age 26
- 401k with company match and self-directed brokerage account option
- PTO including additional paid time off during the last week of the year
- Company paid life insurance coverage for employees and their eligible dependents
- Short and long-term disability, AD&D coverage
- Professional development opportunities, tuition reimbursement and professional licensing assistance
- Paid parental leave after one year of employment
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