Choose Program
Confirm the security specialization matches your responsibilities.
Specialised Certification
AI Security Professional (AISP)
AI systems introduce attack surfaces that conventional information security was not designed to protect: adversarial inputs that bypass validation, poisoned training data that corrupts model behaviour from within, prompt injection that hijacks generative systems, and model extraction that exposes proprietary architectures. A specialised certification for professionals who need to secure AI systems across the full lifecycle.
- Exam Duration
- 110 minutes
- Validity
- 3 years
- Format
- Online Sessions
Target Roles
- Security Professionals
- AI Engineers
Why Pursue This Certification?
When security teams lack AI-specific threat knowledge, the organisation's AI portfolio becomes a blind spot in its security posture. Traditional security controls continue to pass audits while AI-specific attack surfaces go unprotected. Adversarial inputs bypass validation layers that were designed for structured data. Poisoned training data goes undetected because data ingestion pipelines are not treated as security boundaries. Prompt injection attacks succeed because input sanitisation practices assume deterministic systems.
Security incidents involving AI systems take longer to detect, longer to triage, and longer to remediate because incident response procedures were written for conventional software failures. The risk compounds as organisations scale their AI deployments, because each new system inherits the same unprotected attack surfaces. The AISP certification exists because RESAIA believes security professionals protecting AI systems need threat models, controls, and incident response procedures that account for how AI systems actually work, not how traditional software works.
Learning Outcomes
What You Can Expect
- Identify AI-specific attack vectors including adversarial inputs, data poisoning, prompt injection, model inversion, and model extraction.
- Design security controls tailored to AI systems across development, deployment, and operational phases.
- Conduct or commission red teaming exercises that test AI systems against adversarial and security threats.
- Evaluate the security posture of third-party AI components, including foundation models and API-based services.
- Integrate AI security requirements into lifecycle gates so that security is assessed before deployment, not after.
- Establish incident detection and response procedures for AI-specific security events, including escalation protocols and root cause analysis.
Study Material
RESAIA Body of Knowledge
The AISP draws primarily from the BOK's AI Security and Adversarial Resilience chapter, with supporting material from AI Risk Management, AI Supply Chain and Third-Party Management, AI Lifecycle Management, and Incident Management and Response. The BOK teaches these disciplines not as independent topics but as parts of a connected governance system, so candidates understand where AI security sits within the broader governance architecture and how it depends on and feeds into other disciplines.
Application Process
- 01
- 02
Learning
Study AI threat models, secure lifecycle controls, resilience, and incident readiness.
- 03
Take Exam
Complete the 110-minute online certification assessment.
- 04
Earn Certification
Receive a three-year professional credential after passing.
Resources
Download Our Book
Explore Portal
Your one-stop solution for responsible AI development learnings.
RESAIA exists to make that practice measurable, teachable, and accountable. It gives every discipline that touches AI a shared structure, a shared language, and a shared standard to measure against.