🔐 Prompt & AI Security Professional (PAISP) Certification

By SecByte

Overview

The rapid adoption of Artificial Intelligence and Large Language Models (LLMs) has introduced a new class of security risks, attack vectors, governance challenges, and ethical concerns. Organizations across industries now require professionals who not only understand AI systems but can also secure them, test them, govern them, and deploy them responsibly.

The Prompt & AI Security Professional (PAISP) certification is a vendor-neutral, industry-aligned professional credential designed to validate advanced skills in prompt engineering, AI security, LLM threat modeling, defensive AI controls, red teaming, and secure AI system design.

This certification is assessed through a 6-hour, 600-question, scenario-based examination, making it one of the most comprehensive AI security exams available today.

PAISP is designed for professionals who want to demonstrate real-world competence, not just theoretical knowledge.

Why PAISP Certification?

Unlike traditional multiple-choice exams that focus on memorization, PAISP evaluates your ability to:

• Analyze real-world AI security scenarios

• Identify vulnerabilities in LLM-based systems

• Apply secure prompt engineering techniques

• Defend against prompt injection and AI manipulation attacks

• Design governance and compliance controls for AI systems

• Make security decisions under realistic constraints

The exam reflects modern enterprise AI environments, including cloud-hosted LLMs, AI APIs, agent-based systems, and AI-powered applications.

Exam Key Details

• Exam Name: Prompt & AI Security Professional (PAISP)

• Duration: 6 Hours

• Total Questions: 600

• Format: Multiple Choice (Scenario-Based)

• Delivery Mode: Online

• Proctoring: Yes (Remote Proctored)

• Certification Level: Professional

• Standard: Vendor-Neutral

• Organization: SecByte

Who Should Take PAISP?

This certification is ideal for:

• AI Security Engineers

• Prompt Engineers

• Cybersecurity Professionals

• Cloud Security Architects

• AI Red Teamers

• GRC & Risk Professionals

• SOC Analysts working with AI systems

• Developers building LLM-powered applications

• Security Consultants and Auditors

No single vendor knowledge is required — PAISP focuses on core principles, threats, and controls applicable across all AI platforms.

Skills Validated by PAISP

By earning PAISP, candidates demonstrate proficiency in:

• Secure prompt design and validation

• LLM threat modeling and attack surface analysis

• Prompt injection, jailbreaks, and model manipulation defenses

• AI data leakage prevention

• Secure AI architecture and API design

• AI red teaming methodologies

• Governance, risk, and compliance for AI systems

• Monitoring, logging, and incident response for AI workloads

• Ethical AI and responsible AI security practices

📘 PAISP Syllabus – 30 Modules

Domain 1: Foundations of AI & LLM Security

1. Introduction to Artificial Intelligence Security

2. Evolution of Large Language Models (LLMs)

3. AI System Architectures and Components

4. AI Threat Landscape Overview

5. Security Responsibilities in AI Lifecycles

Domain 2: Prompt Engineering Fundamentals

6. Prompt Structure and Tokenization

7. Prompt Context, Memory, and State

8. Secure Prompt Design Principles

9. Prompt Optimization vs Security Tradeoffs

10. Prompt Validation and Sanitization

Domain 3: Prompt Injection & Manipulation Attacks

11. Direct Prompt Injection Attacks

12. Indirect Prompt Injection via External Inputs

13. Jailbreak Techniques and Abuse Patterns

14. Multi-Step Prompt Manipulation Scenarios

15. Prompt-Based Data Exfiltration Risks

Domain 4: LLM Threat Modeling & Attack Surfaces

16. LLM Threat Modeling Methodologies

17. AI Supply Chain Risks

18. Model Abuse and Misuse Scenarios

19. AI API Security Risks

20. Agent-Based AI Attack Vectors

Domain 5: Defensive AI Controls & Secure Design

21. Guardrails, Filters, and Policy Enforcement

22. Secure AI Architecture Patterns

23. Identity, Access, and Authorization for AI Systems

24. Logging, Monitoring, and AI Telemetry

25. Incident Response for AI Security Events

Domain 6: Governance, Risk & Compliance

26. AI Risk Assessment and Management

27. Regulatory and Compliance Considerations

28. Ethical AI and Responsible Security

29. Third-Party and Vendor Risk in AI

30. Enterprise AI Security Strategy & Maturity Models

Exam Structure & Question Style

PAISP questions are scenario-driven, often presenting:

• Enterprise AI deployment cases

• Security incidents involving LLMs

• Conflicting business and security priorities

• Incomplete or ambiguous information

Candidates must choose the most secure, practical, and risk-aware answer, not just the technically correct one.

Industry Alignment

PAISP aligns with:

• Modern enterprise AI security practices

• Cloud-native AI architectures

• Secure software development principles

• Risk-based security decision making

• Governance and compliance frameworks

The certification is designed to remain future-proof, evolving alongside advancements in AI technology and security threats.

Certification Benefits

• Demonstrates advanced AI security expertise

• Enhances credibility in AI-focused security roles

• Differentiates professionals in a competitive job market

• Validates real-world, applied security skills

• Supports career growth in AI, cloud, and cybersecurity domains