AI Attack Surface and Threat Exposure Management Consulting Director

CNA Insurance; Chicago (IL); On-site; USD 97,000 - 189,000; Full time

Benefits offered by this job

Comprehensive benefits package

Job summary

CNA Insurance is seeking a Consulting Director, Attack Surface Management to lead the strategy, adoption, and governance of automation, AI, and agentic AI across application security, vulnerability management, ethical hacking, and attack surface management programs.

You will oversee evaluation and deployment of AI-centric security solutions, drive enterprise-scale risk remediation, and partner with senior leadership to deliver measurable security outcomes.

Qualifications

• Extensive experience in information security, especially application security and vulnerability management.
• Proven ability to define strategy and governance for AI-enabled security programs.
• Demonstrated leadership with cross-functional collaboration at senior levels.

Responsibilities

• Define strategy for automation, AI, and agentic AI across security domains.
• Evaluate and govern AI-centric security solutions and capabilities.
• Lead risk analysis and drive automation to improve protection and efficiency.
• Develop audit-defensible governance, standards, and playbooks for secure AI adoption.
• Communicate metrics and risk to IT and business stakeholders.

Skills

Vulnerability Management

Application Security

AI/ML

GenAI

LLM

Agentic AI security

Security governance

Risk management

Stakeholder communication

Regulatory awareness (SOX, etc.)

Education

Bachelor’s Degree

Master’s Degree preferred

Tools

AI/ML tooling

Threat modeling tools

Code analysis tools

Job description

You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.

The Consulting Director, Attack Surface Management defines strategy, adoption, and governance of automation, AI, and agentic AI across application security, vulnerability management, ethical hacking, and attack surface management programs. Oversees evaluation and deployment of AI-centric security solutions while establishing audit-defensible standards, processes, and secure AI development practices. Drives enterprise-scale identification, analysis, and remediation of external attack surface risk through advanced automation, analytics, and AI-enabled capabilities. Partners with senior leadership and cross-functional teams to prioritize risk, improve operational efficiency, and deliver measurable security outcomes. Provides expert guidance, metrics, and reporting to ensure effective risk management, regulatory alignment, and continuous program maturity.

JOB DESCRIPTION

Essential Duties & Responsibilities

• Aid in defining and implementing strategy for applying automation, AI, and agentic AI to application security, vulnerability management, ethical hacking, and attack surface management use cases.
• Evaluate, deploy, manage, and govern best-in-class new and existing AI-centric solutions, services, and capabilities relevant to the application security, ethical hacking, and vulnerability management domains.
• Identify, prioritize, and drive high-value outcomes where automation and AI can improve operational effectiveness, speed, scale, and efficiency.
• Develop and contribute to audit-defensible governance, standards, processes, procedures, methodologies, practices, playbooks, etc. for secure AI adoption and use across application security, vulnerability management, and ethical hacking domains.
• Lead identification and risk analysis of the external attack surface through development and continuous improvement of automation to drive effective risk exposure response across the business.
• Create secure AI, including agentic, development practices by establishing and continuously improving reusable skills, prompts, workflows, and guardrails for AI-based tools such that AI generated code adheres to secure coding expectations, including proper input validation, authentication, authorization, secrets handling, logging, error handling, dependency use, and secure design.
• Drive the use of AI to improve threat modeling, code review, and application security testing; vulnerability analysis, prioritization, and remediation; penetration testing and red teaming; and attack surface discovery, risk analysis, and remediation.
• Partner with peer domain leaders and practitioners to understand, align, integrate, collaborate, etc. on AI initiatives that realize value to Cyber Defense, Global Enterprise Security, and the business at large.
• Provides proactive, frequent and consistent communication to key IT and business stakeholders on applicable measures, metrics, KRIs, KPIs, threats, risks, etc. Ensures application security, vulnerability management, ethical hacking outputs, and other attack surface management activities result in proper action, risk management, etc.

May perform additional duties as assigned.

Reporting Relationship

Typically reports to Director or above.

Skills, Knowledge & Abilities

• In depth understanding of Vulnerability Management, Application Security, Cloud Security, Ethical Hacking, Threat Management, and Security Remediation programs and operations.
• Strong working knowledge of AI/ML, GenAI, LLM, and agentic AI security concepts, common attack/defense techniques, and use to solve application security, vulnerability management and ethical hacking domain problems.
• Demonstrated experience developing and maturing service, tooling, and process automation.
• Demonstrated experience in software development and/or scripting.
• Strong understanding of security vulnerabilities and threats and industry standard methodologies of risk managing exposures effectively.
• Superior analytical and problem-solving skills and the ability to effectively communicate highly technical information to all audiences.
• Proven ability to interact effectively with senior business leadership to effectively address vulnerabilities and threats in a priority manner.
• Working knowledge of regulations (e.g., SOX, privacy, etc.) and internal controls as they apply to IT. Routinely stays up to date on current best practices / trends to identify, document, and drive resolution of security exposures through independent and collaborative industry research.
• Proven ability to influence change and drive the adoption of automation, AI, and agentic AI to applicable domain programs and teams.
• Ability to work extremely well under pressure while maintaining a professional image and approach.

Education & Experience

• Bachelor’s Degree required or equivalent work experience. Master’s Degree in Computer Science or technical field preferred.
• Typically, a minimum of ten years of information security or related work experience in one or more of the following: application security, vulnerability management or exposure management, ethical hacking, penetration testing, attack surface management, security engineering, or security architecture.
• Relevant certifications preferred.

In certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role. In District of Columbia, California, Colorado, Connecticut, Illinois, Maryland, Massachusetts, New York and Washington, the national base pay range for this job level is $97,000 to $189,000 annually. Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location.

• CNA offers a comprehensive and competitive benefits package to help our employees – and their family members – achieve their physical, financial, emotional and social wellbeing goals.

For a detailed look at CNA’s benefits, please visit cnabenefits.com.

CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact [e-mail]