Lead AI Security Threat Analyst (Hybrid)

Duke Energy

Raleigh (NC)

Hybrid

USD 140,000 - 190,000

Full time

12 days ago
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Job summary

Duke Energy in Raleigh, NC is seeking a Lead Cybersecurity Threat and Vulnerability Analyst to serve as the technical lead for the company's AI Attack Surface Management program. You will identify, assess, and mitigate risks from AI deployments, models, and AI-enabled processes, aligning with enterprise risk management and security requirements.

The role emphasizes security for AI and AI for security, partnering with AI governance, enterprise architecture, and technology teams to advance

Qualifications

  • Minimum 8 years of related work experience; degree optional if experience requirements are met.
  • In lieu of degree, 12 years of related work experience accepted.
  • Security architecture, cloud security, threat and vulnerability management experience valued.

Responsibilities

  • Lead AI security initiatives across enterprise and partner with governance, architecture, and technology teams.
  • Build AI Attack Surface Management capabilities: discovery, inventory, monitoring, assessment, prioritization of AI risks.
  • Assess risks of AI applications, agents, LLMs, RAG, and AI-enabled business processes.
  • Provide executive-level reporting on AI security posture and risk trends.
  • Support architecture reviews and risk assessments for AI initiatives.

Skills

Leadership in cybersecurity
Analytical & communication skills
Executive risk translation
Risk-based decision making

Education

Bachelor's degree in Cybersecurity, Computer Science, Engineering, MIS or related
High School/GED with 12 years related experience
CISSP
CISM
GCIH
GSEC
GRID

Job description

Duke Energy in Raleigh, NC is seeking a Lead Cybersecurity Threat and Vulnerability Analyst to serve as the technical lead for the company's AI Attack Surface Management program. You will identify, assess, and mitigate risks from AI deployments, models, and AI-enabled processes, aligning with enterprise risk management and security requirements.

The role emphasizes security for AI and AI for security, partnering with AI governance, enterprise architecture, and technology teams to advance

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