CNA Financial

AI Attack Surface and Threat Exposure Management Consulting Director

$97,000 to $189,000 annuallyFull-time · Remote
✓ Verified live on the employer's own system · added 6 days ago
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Senior · 10+ yrs exp

Requirements

Education: Bachelor's degree or related field

Experience: 10+ years

License: CNA

Skills & tools

SecurityManagementOperationsProcess ImprovementProgrammingCode ReviewMachine LearningScripting

Benefits — mentioned in this posting

Wellness & perks
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Full job description

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.

- 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.

- 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.

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 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 .

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