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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.
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 Artificial Intelligence (AI) platforms and security best practices as well as threat to foundational, base, and other AI models and tools
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
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%)
Requirements
Bachelor’s Degree in Information Security, Computer Science, Digital Forensics, Cyber Security or equivalent years of professional experience to meet job requirements and expectations
6-9+ years of experience performing information security and risk assessments based upon industry-accepted standards.
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.
Nice to have
Former professional services and consulting experience preferred
Experience managing a team of consultants
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