Senior AI Security Analyst

Loyola Marymount University•Westchester, FL

About The Position

Loyola Marymount University Information Technology Services is hiring a Senior AI Security Analyst for a one-year term assignment. The role sits at the intersection of artificial intelligence and cybersecurity, using AI to identify security weaknesses, protect AI systems, and automate security operations. The analyst partners with security, applications, infrastructure, and university stakeholders to ensure tools such as Microsoft Copilot, internal chatbots, and third-party AI services are securely configured, responsibly used, and continuously monitored. The position advances AI security and governance across the university’s technology environment. It supports security monitoring and threat detection, cloud security, incident response, vulnerability management, and the secure integration of AI into development workflows. The analyst also helps evaluate AI-enabled applications and services for security risks and compliance with established standards. This is a fixed-term, one-year staff position. The salary range is $89,100 to $120,400, commensurate with education and experience. The position may not be eligible for visa sponsorship now or in the future.

Requirements

  • Typically a bachelor’s degree or equivalent experience in computer science, information systems management, business administration, or a related field.
  • At least 3 years of cybersecurity, information security, or security operations experience.
  • Consecutive hands-on experience configuring and managing industry-leading network security systems and application, web, database, and endpoint security technologies, such as firewalls, IDS/IPS, SIEM, and endpoint security.
  • Experience using or supporting AI-enabled technologies and familiarity with related security and governance considerations.
  • Experience with Microsoft Defender, Copilot, and AWS cloud.
  • Knowledge of AI governance frameworks such as NIST AI RMF, ISO 42001, or the EU AI Act.
  • Familiarity with MLOps pipelines, model registries, and security considerations for deploying AI in production.
  • Strong organizational, analytical, and problem-solving skills, including the ability to manage multiple priorities.
  • Excellent written and verbal communication skills and ability to engage technical and non-technical stakeholders and build collaborative relationships.
  • Ability to work independently and in cross-functional teams, motivating team members toward successful project outcomes.

Nice To Haves

  • Relevant certifications such as OSCP, CEH, or CISSP, or emerging AI security credentials such as CompTIA SecAI.
  • Background in threat intelligence or adversarial machine learning research.

Responsibilities

  • Use Microsoft security tools, including Defender, Sentinel, Entra, and Copilot, for SOC automation and alert tuning.
  • Implement AI-powered threat detection and security monitoring across endpoints, networks, cloud infrastructure, and applications.
  • Participate in security assessments, vulnerability testing, and threat simulations using approved tools and methodologies.
  • Use AI-enabled security tools to help identify vulnerabilities and security gaps.
  • Evaluate AI-enabled applications, APIs, and related technologies for security risks and compliance with established standards.
  • Work with the Information Security team to develop and maintain security controls, detection logic, and monitoring to identify misuse or compromise of AI systems and applications.
  • Support security configuration, policy enforcement, and access controls for organizational AI tools, including Copilot, Microsoft 365 Copilot, internal LLM chatbots, and third-party AI APIs.
  • Support implementation and monitoring of data loss prevention controls for approved AI technologies.
  • Track emerging CVEs, research publications, and AI security threat intelligence, and turn findings into actionable mitigations.
  • Participate in security reviews of new AI tools and document risks, controls, and recommendations before implementation.
  • Embed security checkpoints in AI-augmented development workflows, ensuring AI-generated code is scanned, reviewed, and checked for common vulnerabilities.
  • Collaborate with the applications team to shift AI-assisted security testing earlier in the software development lifecycle.
  • Evaluate, implement, and optimize cloud threat protection capabilities, including AWS GuardDuty and Microsoft Defender for Cloud, and integrate cross-platform security configurations.
  • Strengthen cloud security posture using AWS Security Hub, Microsoft Defender, and AWS Inspector; identify, prioritize, and remediate vulnerabilities in cloud and serverless workloads.
  • Expand cloud asset tagging, classification, and workload identification to improve inventory, ownership, visibility, and risk management.
  • Develop and maintain security automation for incident response and remediation, including automated agent deployment and updates, security control enforcement, and alert notifications.
  • Strengthen cloud identity and access management through least-privilege controls, IAM policy analysis, AWS IAM Access Analyzer, role governance, and periodic access reviews.
  • Implement and optimize web application security controls, including AWS WAF, to protect cloud-hosted applications and APIs.
  • Evaluate the effectiveness of security controls and recommend improvements based on threat intelligence, incidents, vulnerability trends, and changes in the technology environment.
  • Develop security automation and workflows for incident response, vulnerability remediation, alert triage, and repetitive security operations.
  • Analyze threat intelligence, emerging vulnerabilities, attack techniques, and adversary tactics to assess potential organizational impact.
  • Conduct threat hunting using security telemetry, indicators of compromise, behavioral analytics, and AI-powered detection capabilities.
  • Partner with university stakeholders to advance AI security, controls, and compliance.
  • Exhibit behavior that supports the university’s mission, vision, and values; model professional, responsible, accountable, and ethical conduct; and demonstrate outstanding customer service.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service