Security Consultant - AI
Cyderes
Office
United States
Full Time
Cyderes (Cyber Defense and Response) is a pure-play, full life-cycle cybersecurity services provider with award-winning managed security services, identity and access management, and professional services designed to manage the cybersecurity risks of enterprise clients. We specialize in multi-technology, complex environments with the in speed and agility needed to tackle the most advanced cyber threats. We leverage our global scale and decades of experience to accelerate our clients’ cyber outcomes through a full lifecycle of cybersecurity services. We are a global company with operating centers in the United States, Canada, the United Kingdom, and India.
About the Role:Cyderes is seeking an experienced AI Security Consultant to join our cybersecurity advisory team. This role is responsible for helping clients govern and secure AI and machine learning (ML) systems. The ideal candidate will possess expertise in cybersecurity, risk management, AI/ML technologies, and regulatory compliance, with the ability to advise stakeholders from technical teams to executive leadership.
Note: This job posting is intended for direct applicants only. We request that outside recruiters do not contact us regarding this position.
About the Role:Cyderes is seeking an experienced AI Security Consultant to join our cybersecurity advisory team. This role is responsible for helping clients govern and secure AI and machine learning (ML) systems. The ideal candidate will possess expertise in cybersecurity, risk management, AI/ML technologies, and regulatory compliance, with the ability to advise stakeholders from technical teams to executive leadership.
Responsibilities:
- Conduct AI/ML security risk assessments across models, data pipelines, APIs, and deployment environments.
- Design and architect security controls for AI systems, including:
- Data privacy protections
- Model confidentiality and integrity measures
- Supply chain security for AI components
- Defenses against adversarial attacks and model poisoning
- Design and architect secure integrations of AI platforms like Open AI, CoPilot, Gemini, and Cloude into client environments
- Develop and advise on AI governance frameworks covering security, ethics, privacy, and compliance.
- Provide recommendations for secure AI development lifecycle (Secure AILD) integration with MLOps and DevSecOps practices.
- Conduct threat modeling for AI-driven applications using frameworks such as MITRE ATLAS or OWASP AI Security guidelines.
- Assist in establishing monitoring and detection capabilities for AI-related threats.
- Ability to consult on how AI platforms like CoPilot, Claude and Gemini can be used to solve security problems in a client environment.
- Guide organizations on regulatory compliance (e.g., GDPR, AI Act, NIST AI RMF, ISO/IEC 42001).
- Collaborate with data science, software engineering, IT security, and compliance teams to align security strategies.
- Deliver presentations, workshops, and executive briefings on AI security risks and mitigation strategies.
- Stay current on emerging threats, research, and best practices in AI/ML security.
Requirements:
- 2+ years of experience in AI/ML security, governance, or technical advisory.
- Strong understanding of:
- AI/ML fundamentals (models, data pipelines, inference)
- Cybersecurity controls and architecture (Zero Trust, cloud security, identity management)
- AI-specific threat vectors (data poisoning, model extraction, adversarial attacks)
- Familiarity with frameworks such as NIST AI RMF, MITRE ATLAS, OWASP Top 10 for LLMs/AI, or equivalent.
- Hands-on experience with cloud platforms (AWS, Azure, GCP) and securing cloud-based AI environments.
- Excellent verbal and written communication skills.
- Experience presenting complex topics to both technical and non-technical audiences.
- Preferred Qualifications:
- Certifications: CISSP, CCSP, GCPN, CCSK, or equivalent cybersecurity certifications.
- Certifications in AI or data science (e.g., TensorFlow, PyTorch, Microsoft AI certifications) a plus.
- Experience with large language models (LLMs), generative AI, or MLOps security.
- Familiarity with privacy-enhancing technologies (PETs) for AI (e.g., differential privacy, federated learning).
Note: This job posting is intended for direct applicants only. We request that outside recruiters do not contact us regarding this position.
Security Consultant - AI
Office
United States
Full Time
August 5, 2025