Certified AI Endpoint & API Defender (CAIEAD)

The Certified AI Endpoint & API Defender (CAIEAD) program is designed to equip professionals with the skills to secure AI inference endpoints and APIs. With the rise of AI-driven services, APIs and model inference endpoints are increasingly vulnerable to targeted attacks. This course provides practical techniques for securing LLMs and transformers, preventing prompt injection, implementing robust API protection, and integrating AI gateways with security frameworks. Participants will explore content filtering, anomaly detection, and rate-limiting strategies to build secure AI systems. The program is ideal for those managing AI services in security-critical environments.

Audience:

• AI security professionals
• API developers and architects
• Cybersecurity engineers
• Machine learning engineers
• DevSecOps practitioners
• IT risk and compliance officers

Learning Objectives:

• Understand unique security risks of AI inference APIs
• Identify and defend against AI-specific attack vectors
• Apply rate-limiting and anomaly detection effectively
• Prevent prompt injection in LLMs and secure outputs
• Integrate AI gateways with existing security tools
• Implement filtering and sanitization for safer AI responses

Program Modules:

Module 1: Foundations of AI Endpoint Security

• AI inference endpoint architecture
• Attack surface of LLM and transformer APIs
• Key differences from traditional API security
• Threat modeling for AI-driven interfaces
• AI-specific vulnerabilities overview
• Secure design principles for AI endpoints

Module 2: Understanding AI-Specific API Attacks

• Prompt injection techniques
• Model inversion and extraction attacks
• Abuse of output generation pipelines
• Manipulation of content moderation APIs
• Credential leakage via AI outputs
• Replay and fuzzing attacks on LLM APIs

Module 3: Securing Transformer and LLM Inference APIs

• Authentication strategies for AI endpoints
• Role-based access control for AI APIs
• Token-based API request security
• Isolation of inference services
• API key management best practices
• Real-world case studies of breached AI endpoints

Module 4: Detection, Rate Limiting, and Traffic Filtering

• Traffic analysis for LLM requests
• Behavior-based anomaly detection
• Adaptive rate-limiting methods
• API gateway enforcement rules
• Heuristic and ML-based request scoring
• Logging and monitoring AI API usage

Module 5: Output Protection and Sanitization

• Post-inference output validation
• Escaping and encoding dangerous outputs
• Removing hallucinated or harmful content
• Regulating context switching in chat models
• Blacklist and whitelist content control
• Third-party tools for response filtering

Module 6: AI Gateway and WAF Integration

• Connecting AI endpoints to API gateways
• Configuring Web Application Firewalls for AI traffic
• Security policy automation for inference APIs
• Data loss prevention (DLP) in AI responses
• Integrating with SIEM and threat intel platforms
• Managing multi-model security configurations

Exam Domains:

1. AI Endpoint Security Fundamentals
2. Threat Intelligence for AI Systems
3. API Access Control and Authorization
4. AI Model Exploitation Techniques
5. AI Output Regulation and Response Security
6. Gateway and Perimeter Defense Integration

Course Delivery:

The course is delivered through a combination of lectures, interactive discussions, and project-based learning, facilitated by experts in the field of AI security. Participants will have access to online resources, including readings, case studies, and tools for practical exercises.

Assessment and Certification:

Participants will be assessed through quizzes, assignments, and a capstone project. Upon successful completion of the course, participants will receive a certificate in Certified AI Endpoint & API Defender (CAIEAD).

Question Types:

• Multiple Choice Questions (MCQs)
• True/False Statements
• Scenario-based Questions
• Fill in the Blank Questions
• Matching Questions (Matching concepts or terms with definitions)
• Short Answer Questions

Passing Criteria:

To pass the Certified AI Endpoint & API Defender (CAIEAD) Certification Training exam, candidates must achieve a score of 70% or higher.

Strengthen your AI infrastructure—enroll in the CAIEAD certification program today and become a trusted defender of intelligent endpoints and APIs.