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Being the cybersecurity partner of choice, protecting our digital way of life.
Your Impact
Conduct comprehensive security assessments of AI systems and tools using frameworks such as:
MITRE ATLAS for adversarial tactics and techniques.
OWASP Top 10 for LLMs to identify vulnerabilities in AI/ML models.
NIST AI Risk Management Framework (AI RMF) for risk analysis and mitigation.
Develop and execute assessment plans tailored to foundational models, base models, and SaaS-based AI tools.
Analyze model architectures, training data pipelines, and deployment environments to identify potential security gaps and vulnerabilities.
Provide expert guidance on securing AI systems, including:
Adversarial ML defenses.
Data poisoning prevention.
Privacy-preserving AI techniques (e.g., differential privacy).
Evaluate compliance with regulatory requirements and standards (e.g., GDPR, HIPAA, or emerging AI-specific regulations).
Collaborate with the client’s cross-functional teams, conducting stakeholder interviews, interactive workshops, and meetings with technical teams (data scientists, developers, DevOps engineers) and leadership teams to ensure a thorough understanding of system architecture, security requirements, and business objectives for the assessment.
Stay up-to-date on the evolving threat landscape in AI and contribute to the development of innovative security solutions.Assisting Unit 42 Consulting Leadership in the development of Risk Management, Compliance, and Security standards within professional services
Maintaining industry knowledge of and experience with cybersecurity best practices within theGovernance, Risk and Compliance (GRC) field to provide recommendations to proactively improve our client’s security posture and maturity
Maintaining an understanding of the comprehensive threat intelligence landscape, key threat actors, MITRE ATT&CK TTPs, threat intelligence platforms, zero-day and other vulnerabilities, and other threat-led cybersecurity intelligence information
Maintaining an understanding of Artificial Intelligence (AI) platforms and security best practices as well as threat to foundational, base, and other AI models and tools
Leading or supporting cybersecurity risk assessments, audits, program and policy maturation and development, incident response tabletop exercises, configuration reviews, breach readiness reviews, and expert witness cases in accordance with industry best practices, regulations, standards, and company policies and procedures
Maintaining the ability to work across multiple frameworks and regulatory standards including, but not limited to, NIST, CIS 18, ISO, GDPR, CCPA, SOX, and HIPAA
Managing the team, monitoring progress, tracking budget, mitigating risks, and ensuring key stakeholders are kept informed about progress and expected outcomes while defining potential impacts and creating an effective mitigation strategy for multiple projects at a given time
Identifying security risks and vulnerabilities while eliminating cybersecurity threats via stakeholder interviews, documentation review, and deep-dive testing and control validation
Evaluating client controls for compliance with legal, regulatory, privacy, policy, standards and security requirements
Effectively documenting and communicating audit, assessment, or compliance results, findings, and recommendations to stakeholders
Effectively communicating with external stakeholders in a professional manner
Scoping new opportunities with prospective clients, including drafting statements of work and proposals
Meeting travel requirements as needed to meet business demands (on average ~30%)
Your Experience
6-9+ years of experience performing information security and risk assessments based upon industry-accepted standards.
Former professional services and consulting experience preferred
Experience managing a team of consultants
Experience with GRC tools, technology, and implementation
Experience with security assessments/audits, drafting findings and recommendations, and prioritizing recommendations via quantitative risk scoring
Experience with securing AI systems within cloud environments (e.g., AWS, Azure, Google Cloud).
Experience with the lifecycle management of AI/ML models, including development, deployment, monitoring, and maintenance.
Strong verbal and written communication skills, particularly in conveying complex technical information to non-technical stakeholders.
Demonstrate a track record in strengthening existing and developing new client relationships
Knowledge of computer forensic tools, technologies and methods
Bachelor’s Degree in Information Security, Computer Science, Digital Forensics, Cyber Security or equivalent years of professional experience to meet job requirements and expectations
Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $151000 - $208000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .
All your information will be kept confidential according to EEO guidelines.
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