Posted:3 weeks ago|
Platform:
Work from Office
Full Time
As an AI Security Manager, you will be responsible for ensuring that AI models meet stringent security standards and are resilient against attacks. This includes developing and implementing security requirements and assessment procedures for AI systems, monitoring AI assets for security gaps, and collaborating with cybersecurity stakeholders to deploy secure AI capabilities.
- Utilize AI tools such as OpenAI, Amazon Q, LangChain, LIamaIndex, or similar GenAI tools and ecosystems.
- Integrate AI capabilities into security analytics, dashboards, or workflow automation.
- Understand AI models, prompts, and their security features.
- Research and analyze AI-enabled threats, adversarial machine learning attacks, and defensive strategies.
- Develop adversarial testing frameworks to validate the robustness of AI security models.
- Create guardrails for integrating AI security tools with existing infrastructure.
- Stay updated with emerging AI threats, security research, and defensive techniques.
- Present findings and recommendations to technical and executive stakeholders.
- Analyze and build security requirements for AI-powered solutions in enterprise-scale environments.
- Collaborate with IT teams to implement AI-enhanced solutions.
- Work with vendors on AI security tool discussions and implementation.
- Ensure compliance with industry regulations and internal security policies.
- Lead cross-functional projects to integrate AI security across business units.
- Develop metrics and KPIs to measure the effectiveness of the AI security program.
- Establish security measures to protect AI systems from cyber threats.
- Over 4 years of experience in cybersecurity.
- More than 3 years of hands-on AI/ML development experience using Python, TensorFlow, PyTorch, or similar frameworks.
- Strong understanding of cybersecurity fundamentals, including network security, endpoint protection, and threat hunting.
- Experience with both security tools and AI-related tools.
- Knowledge of data science libraries (pandas, scikit-learn, NumPy) and big data technologies.
- Expertise in adversarial machine learning, model security, and AI red teaming.
- Experience with cloud security platforms such as AWS Security Hub, Azure Sentinel, and Google Chronicle.
- Strong understanding of AI technologies, security testing frameworks, threat intelligence, and proficiency in relevant programming languages.
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