AI Security Analyst

CoAdvantage
Tampa, FL

CoAdvantage Summary:

CoAdvantage is a leading human resource solutions provider for small to mid-sized companies. We are HR experts who partner with small businesses nationwide to administer payroll, benefits, workers’ compensation and core HR management. Headquartered in Bradenton, Florida, CoAdvantage has offices throughout Florida, Georgia, Alabama, Texas, Oklahoma, Colorado, California, North Carolina, New Jersey and New York, and serves more than 100,000 worksite employees in all 50 states. We’re looking for the best professionals in our markets who are interested in building a successful and rewarding career and be part of a focused, energetic team dedicated to delivering excellence to America’s small business owners.

Position Summary:

At CoAdvantage, we’re on an exciting journey — one where artificial intelligence is becoming a core part of how we operate and serve our clients. As a leading Professional Employer Organization, we handle sensitive HR, payroll, and employee data for thousands of businesses, which means security isn’t just a priority — it’s foundational to everything we do.

We’re looking for a Security Analyst – AI & Emerging Technologies to join our Information Security team and help us navigate this new frontier. This isn’t a role for someone who wants to sit still. You’ll be at the center of how CoAdvantage adopts AI responsibly — evaluating tools, securing our LLM environments, classifying data, enforcing access guardrails, and helping your colleagues understand what safe AI use looks like in practice.

You don’t need to be an AI engineer or a seasoned CISO. You need to be curious, grounded in security fundamentals, and genuinely excited about where AI is taking the industry. If that sounds like you, we’d love to talk.

Selected candidate can work hybrid from the following locations: Tampa, Bradenton, Maitland/Orlando

Essential Job Functions:

  • AI Tool Vetting: Review and assess AI tools and platforms being considered for adoption across CoAdvantage, identifying security risks, data exposure concerns, and compliance gaps before they become problems.
  • AI Discovery & Authorization: Proactively identify AI tools and services in use across the organization, assess their risk, and work to ensure only authorized products are permitted within the CoAdvantage environment.
  • Data Classification & Structure: Develop and maintain data classification frameworks that define how sensitive data — including HR, payroll, and employee records — is categorized, handled, and protected within AI systems and workflows.
  • Access Guardrails & Query Controls: Design and implement controls that govern what data users can query or access through AI tools, ensuring appropriate restrictions are in place based on role, data sensitivity, and business need.
  • AI Usage Monitoring: Evaluate and deploy tools to track, log, and audit AI queries and usage across the organization, providing visibility into how AI is being used and enabling detection of policy violations or anomalous behavior.
  • LLM Security: Help secure both internal and publicly facing Large Language Models, understanding their unique risks including prompt injection, data leakage, and model misuse.
  • AI Process Automation: Identify opportunities to leverage AI for automating security and business processes — such as vendor approval workflows, risk assessments, and compliance reporting — improving efficiency while maintaining appropriate controls.
  • Vulnerability Management: Use AI-assisted tools and approaches to identify, prioritize, and track remediation of vulnerabilities across our environment.
  • Secure SDLC Advisory: Work alongside our development teams to strengthen security within the Software Development Lifecycle, recommending AI-driven efficiencies and best practices.
  • Security Operations: Actively work within our enterprise security stack — including SIEM, EDR and other platforms — to monitor threats, investigate alerts, and support incident response.
  • AI Security Awareness: Serve as an internal resource for teammates and business units as they get up to speed on AI — translating complex concepts into practical guidance.
  • Policy Development: Contribute to the creation and refinement of AI security policies, standards, and frameworks as our AI footprint grows.
  • Metrics: Develop dashboards and maintain security metrics.

Required Skills and Experience:

  • 3–5 years of hands-on experience in information security or a closely related field.
  • Solid grasp of core cybersecurity principles — threat modeling, risk assessment, vulnerability management, and incident response.
  • Working knowledge of AI and machine learning concepts, with a practical understanding of LLM risks and how AI tools interact with business data and systems.
  • Familiarity with data classification frameworks and experience applying data handling policies within technology environments.
  • Understanding of access control principles and the ability to design or recommend query-level restrictions for AI platforms.
  • Experience using enterprise security tools such as SIEM platforms, EDR solutions, and similar technologies.
  • Familiarity with secure SDLC methodologies and the ability to engage meaningfully with development teams.
  • Strong communicator — able to explain AI and security concepts clearly to both technical and non-technical audiences.
  • Comfortable working independently in a remote or hybrid environment while staying closely connected to a collaborative team.

Preferred Qualifications:

  • Experience working in a PEO, HR technology, payroll, or similarly regulated and data-sensitive industry.
  • Exposure to AI governance frameworks, responsible AI principles, or emerging standards around AI security.
  • Hands-on experience with AI discovery tools or Shadow IT detection solutions.
  • Experience building or working with AI query monitoring and logging solutions.
  • Familiarity with automating business or security workflows using AI — such as vendor approvals, risk assessments, or compliance checks.
  • Familiarity with data privacy regulations such as SOC 2, HIPAA, or state-level privacy laws relevant to employee data.
  • Any security certifications (Security+, CEH, CISSP, or similar) — appreciated but not a dealbreaker.
  • Experience contributing to or building AI-related security policies or risk frameworks.

EEO

CoAdvantage is committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, national origin, ancestry, citizenship status, age, sex (including pregnancy, childbirth, breast feeding and pregnancy-related medical conditions), gender, gender identity or expression, sexual orientation, marital status, uniform service member and veteran status, disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.

#LI-hybrid
Posted 2026-04-28

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