AI Attack Surface and Threat Exposure Management Consulting Director

About this role

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 Performs a combination of duties in accordance with departmental guidelines:

• 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.

#LI-Hybrid #LI-DM1

I n 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 vario

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