AI Security Analyst

Data-Core Systems, Inc. is a provider of information technology, consulting, and business process services. We offer breakthrough tech solutions and have worked with companies, hospitals, universities, and government organizations. A proven partner with a passion for client satisfaction, we combine technology innovation, business process expertise and a global, collaborative workforce that exemplifies the future of work. For more information about Data-Core Systems, Inc., please visit

Data-Core Systems Inc. is seeking an AI Security Analyst to be a part of our Consulting team. The AI Security Analyst is responsible for protecting AI/ML models, data pipelines, and AI-driven applications against cyberattacks, adversarial manipulation, and misuse. They ensure that AI systems used in tolling, surveillance, payment fraud detection, and traffic analytics are secure, ethical, and compliant with regulations.

Key Responsibilities

AI/ML System Security

• Protect AI models used in toll fraud detection, license plate recognition, and traffic monitoring against adversarial attacks. 

• Ensure integrity of training data and inference pipelines to prevent data poisoning or tampering. 

• Monitor for model drift, bias, and manipulation risks . 

Threat Detection & Response

• Identify and respond to threats targeting AI systems (e.g., adversarial inputs, prompt injection, model inversion). 

• Develop detection mechanisms for misuse of AI APIs and tolling-related automation systems. 

• Collaborate with SOC (Security Operations Center) teams to integrate AI-related alerts. 

Governance & Compliance

• Ensure AI systems comply with
  government regulations, privacy laws, and ethical AI guidelines . 

• Implement data security controls for sensitive toll/payment/vehicle data used in AI models. 

• Support audits for AI risk management and transparency . 

Collaboration & Integration

• Work with data science, IT security, and DevOps teams to integrate security controls into AI lifecycle. 

• Contribute to AI model governance frameworks and Zero Trust AI adoption . 

• Train employees and toll operators on safe and ethical AI usage. 

Innovation & Research

• Stay updated on emerging AI security risks (deepfakes, synthetic fraud, AI-enabled attacks) . 

• Research and test AI red-teaming methods to find vulnerabilities in toll-related AI models. 

• Recommend new AI security tools and frameworks (e.g., adversarial ML defense libraries). 

Qualifications & Skills

• Background in cybersecurity, AI/ML, or data science . 

• Knowledge of adversarial machine learning, AI attack vectors, and model security . 

• Familiarity with AI platforms (TensorFlow, PyTorch , Azure AI, AWS SageMaker). 

• Strong understanding of encryption, IAM, and data protection laws (GDPR, DPDP, PCI-DSS) . 

• Certifications (preferred): Certified Ethical Hacker (CEH), GIAC AI Security Essentials (AISE), Microsoft Certified AI Engineer, CISSP with AI focus . 

We are an equal opportunity employer.