EXIN AISP Schedule: 04 - 05 Sep 2026. AIMS Master Class (Lead Auditor and Lead Implementer): 16 - 20 Sep 2026. Enroll for an experiential learning....

Master AI Security with Trust

Defend AI Systems, Build Resilience

Learn what forms the basis for stronger security

Gain the globally recognized EXIN AI Security Professional (AISP) certification and become the expert who safeguards AI systems against adversarial threats, vulnerabilities and compliance risks.

EXIN AI Security Professional (AISP)

EXIN's coveted Certification Course

The AI Security Professional (AISP) program is the first certification that integrates AI security frameworks, adversarial ML defense, and governance controls into a practical, lifecycle‑based approach. Designed for professionals who need to secure, audit and govern AI systems across their entire lifecycle - with ready‑to‑use templates, checklists and defensive playbooks.

You will master AI risk management, adversarial resilience and trustworthy AI implementation that organizations can rely on.

Scenario‑Based Security Simulation
  • Role‑play as defenders, auditors and responders in simulated AI threat scenarios

  • Identify vulnerabilities, apply security principles and propose corrective actions

  • Use security templates and checklists to document defenses and build audit‑ready evidence

Security Deep Dive Workshop
  • Explore adversarial ML attacks (data poisoning, model theft, prompt injection).

  • Case studies across industries (finance, healthcare, retail, manufacturing).

  • Group discussions to interpret risks and map them to security strategies.

Artificial Intelligence Security Professional (AISP) Training

The AISP certification confirms that professionals can secure the development, deployment and use of AI systems against adversarial threats, vulnerabilities and compliance gaps

Topics coverage
  • Introduction to AI Security: Global threat landscape and why AI security matters.

  • Adversarial ML Essentials: Types of attacks, detection, and defense strategies.

  • Trustworthy AI Principles: Fairness, transparency, accountability, resilience.

  • Data Privacy & Security: Alignment with GDPR, ISO/IEC 27701, and related standards.

  • Security Frameworks: Lifecycle management and defense readiness.

  • Practical Tools & Templates: Checklists, reporting formats, and monitoring dashboards.

  • Industry Applications: How AI security strategies differ across sectors.

  • Future Outlook: Ethics, sustainability, and evolving global AI risks.

Our AISP certification training is designed to blend security theory with hands‑on defense strategies, ensuring participants not only understand adversarial AI risks but also know how to mitigate them in real‑world scenarios. Each session is interactive, combining expert insights with practical exercises, simulations and security playbooks that build confidence and competence in AI security.

The EXIN AI Security Professional (AISP) certification is your passport to mastering AI security frameworks and adversarial defense techniques. It equips you with deep technical insight, practical tools and proven security methodologies to ensure AI systems remain resilient, trustworthy and compliant.

With AISP, you don’t just learn, you act: applying strategies across industries to defend against data poisoning, model theft, prompt injection and bias exploitation. You’ll build transparency, resilience and trust into every AI system you touch.

Stand out as the expert who shapes secure AI, promotes resilience, and leads with impact. Ready to be the best in your industry? This is where AI security meets career excellence.

                                  Secure AI in Practice

The EXIN Artificial Intelligence Security Professional certification covers the following key subjects:

Domain 1: Organizing AI security in the enterprise

  • Apply the GUARD framework to structure AI security organizationally

  • Distinguish AI security risk from conventional cybersecurity risk

  • Map AI assets - training data, models, inputs, outputs - to their unique threats

Domain 2: Threat modeling and agentic AI risk

  • Run risk management steps purpose-built for AI threat modeling

  • Identify security risks specific to agentic AI systems

  • Apply structured, repeatable risk treatment and monitoring cycles

Domain 3: Recognizing input, development, and runtime threats

  • Classify evasion attacks by attacker knowledge level

  • Distinguish direct from indirect prompt injection; apply 7-layer defense

  • Identify data poisoning, model exfiltration, and sensitive data leakage

Domain 4: Implementing AI security controls

  • Apply governance controls across AI, security, and compliance programs

  • Limit sensitive data exposure to reduce your AI attack surface

  • Constrain model behavior through oversight, least-privilege, and explainability

Domain 5: Testing AI systems for security

  • Distinguish AI red-teaming from conventional security testing

  • Identify what to test in predictive AI versus generative AI

  • Run a systematic red-teaming process from scoping to validation of fixes

Domain 6: Privacy, compliance, and regulation

  • Apply AI-specific privacy principles to real-world scenarios

  • Map ISO/IEC 23894, 27005, 42001, and 5338 to compliance requirements

  • Navigate the EU AI Act, GDPR, and emerging AI copyright risk

What you will learn?

By the end of the program, learners will:

  • Gain deep insight into AI adversarial risks.

  • Build skills to apply security frameworks in real projects.

  • Strengthen their role as custodians of trustworthy AI.

  • Be equipped with tools and templates for immediate workplace impact.

Who should attend?

  • AI Security Officer

  • Risk Manager

  • Compliance Analyst

  • AI Developer/Engineer

  • IT Security Manager

  • Data Protection Officer (DPO)

  • Product Manager

Delivery approach:

  • Lectures illustrated with real‑world examples.

  • Practical exercises based on adversarial scenarios.

What you get?

  • Course material access - e-version

  • Training session delivered by an eminent instructor

  • Certification examination

Course duration?

  • 2 days

© ISO/IEC 42001:2023 and all other ISO(/IEC) standards - Copyright ownership is with International Organisation for Standardization and International Electrotechnical Commission, as appropriate

Prerequisite:

  • Nil

  • Desired: an understanding of the security techniques and vulnerabilities / threats concepts

Examination (each exam)

  • Multiple Choice, 40 Questions

  • Exam duration: 90 Minutes

  • Exam level: Advanced, 65% score to pass

Ready to Lead AI Security?

The EXIN AISP certification equips you with defensive strategies, practical tools and resilience frameworks to ensure AI systems remain secure, reliable, and compliant.

Stand out as the expert who shapes secure AI, promotes resilience, and leads with impact.

Built on the OWASP AI Exchange

The OWASP AI Exchange is an open, vendor-neutral body of knowledge for AI security, maintained by a global community of 165+ security practitioners, AI engineers and governance professionals. With more than 200 pages of practical guidance, it goes far beyond a vendor framework or proprietary syllabus.

The Exchange has already contributed 40+ pages to the EU AI Act’s security guidance and continues to shape ISO/IEC standards. That means AISP teaches the same body of knowledge influencing the regulations and standards organizations are increasingly expected to follow.

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