Artificial intelligence is moving faster than most organizations can secure it. From powerful Large Language Models (LLMs) to generative AI in production, the risks are multiplying, and so is the need for trained professionals who can protect or govern these systems responsibly.
Two emerging certifications have become the talk of the industry:
Certified AI Security Professional
Secure AI systems: OWASP LLM Top 10, MITRE ATLAS & hands-on labs.
- Certified AI Security Professional (CAISP) by Practical DevSecOps
- Artificial Intelligence Governance Professional (AIGP) by IAPP
Both prepare professionals for AI’s new frontier, but they do it from entirely different lenses.
Here’s how we compare, and why security‑first learning through CAISP is shaping the next generation of AI‑ready defenders.
Why AI Security Certifications Matter Now
AI has entered every toolchain and business process, from product design to customer service.
This rapid adoption comes with two urgent challenges:
- AI Security: adversarial attacks, prompt injection, model theft, and supply chain risk.
- AI Governance: legal compliance, risk management, and ethical oversight.
In other words, it’s not just about building AI anymore; it’s about building it securely and responsibly.
That is undoubtedly where CAISP and AIGP come in.
What Is the Certified AI Security Professional (CAISP)?
CAISP, developed by Practical DevSecOps, is the world’s first hands‑on AI security certification.
It’s built for professionals who need to detect, mitigate, and prevent AI‑specific threats inside real environments, not just study them from PowerPoint slides.
What You Learn
CAISP focuses on implementation and defense across the AI security spectrum:
- OWASP LLM Top 10 – Prompt injection, data poisoning, insecure outputs, and over‑reliance attacks.
- MITRE ATLAS Framework - Understanding how threat actors actually target ML systems.
- Adversarial Machine Learning - Red‑teaming and robust testing of AI models.
- AI Supply Chain Security - SBOM and MLBOM creation, model signing, and provenance.
- DevSecOps for AI Pipelines - Detecting poisoned dependencies and CI/CD attacks
- AI Threat Modeling - STRIDE, IriusRisk, and AI Risk Framework integration.
Format
- 100% Online, Self‑Paced and Hands-on
- 60 days of browser-based labs – No installation headaches
- Task‑oriented practical exam – 5 real‑world challenges + 24 hours to write a report
- Lifetime credential + 36 CPE points
Who It’s For
- AI Offensive Orchestrator
- AI/ML Security Engineer
- AI Security Specialist,
- AI Incident Response Orchestrator
- AI Prompt Engineer
- AI SOC Orchestrator
- AI Governance Lead
- Quantum-AI Security Specialist
“CAISP gave our teams the skills to identify and patch LLM vulnerabilities before deployment.”
– Security Engineering Manager, Fortune 100 Enterprise
What is the Artificial Intelligence Governance
Professional (AIGP)?
The AIGP, offered by the IAPP (International Association of Privacy
Professionals) focuses on AI governance and compliance, an
essential discipline in organizations that must meet regulatory and
ethical obligations.
What It Covers:
- Principles of responsible AI and risk management.
- Global laws like the EU AI Act and frameworks such as NIST AI RMF and ISO IEC 42001.
- Governance throughout the AI lifecycle - from design to deployment to monitoring.
- Building multi‑stakeholder governance structures and policies.
Format:
- 2.75‑hour multiple‑choice exam
- 85 scored + 15 unscored questions
- Conceptual and policy-oriented
Who It’s For
Governance and compliance leaders, privacy counsels, policy advisors, and audit
professionals are responsible for oversight of AI initiatives.
The AIGP certification is well-suited for those defining “what AI should do safely.”
CAISP vs AIGP: Head‑to‑Head Comparison
| Category | CAISP (Certified AI Security Professional) | AIGP (Artificial Intelligence Governance Professional) |
| Issuing Body | Practical DevSecOps: Industry leader in hands-on AI cybersecurity training. | IAPP- Authority in Privacy and Data Governance |
| Primary Goal | Secure AI systems and LLMs against real‑world attacks | Govern AI ethically, align with laws and frameworks |
| Focus Area | Technical AI security - Threat detection, ML/LLM defense, supply‑chain integrity | Strategic AI governance - Risk classification, compliance, accountability |
| Learning Approach | 70 % hands‑on labs + real attack scenarios + practical exam | 100 % knowledge‑based prep + conceptual exam |
| Skill Outcome | Build and defend secure AI And ML pipelines end‑to‑end | Design responsible AI governance programs and policies |
| Key Frameworks Covered | OWASP LLM Top 10 MITRE ATLASSLSASCVSISO/IEC 2700 | EU AI ActNIST AI RMFISO/IEC 42001OECD AI Principles |
| Core Domains | AI attacks & defenses, Supply‑chain security, AI Threat modeling, and infrastructure security. | Foundations of governance, AI laws and standards, Governing AI development/deployment. |
| Exam Format | Practical lab exam (5 challenges + 24 hr report) | Multiple‑choice proctored exam (~100 questions/2.75 hrs) |
| Prerequisites | Basic Linux commands Python helps but not required | None - Best for privacy, legal or risk specialists |
| Credential Duration | Lifetime (does not expire) | Renewable via CPE requirements |
| Included Learning Resources | 3‑year video access, 60‑day browser labs, PDF manual, 24/7 Instructor support | Free BoK PDF, candidate handbook, optional training purchase |
| Typical Learners | Security engineers AppSec/DevSecOps AI/ML developers Cloud security teams Red Teamers | Governance managers Privacy/legal counsel Compliance officers Auditors |
| Difficulty Type | Technical depth - Learn by doing and proving skills | Conceptual breadth - Understand laws and frameworks |
| Estimated Cost (USD) | USD 999 ( Training and Exam) | USD 550 (exam only; training extra) |
| Best For | Tech professionals protecting and testing AI systems | Governance leaders overseeing AI risk and compliance. |
| Value Takeaway | Learn to Attack and Defend AI models and systems | Learn to shape policies and Govern AI responsibly |
Career Impact and Salary Potential
CAISP Career Paths
- AI Security Engineer
- LLM Red Team Specialist
- DevSecOps for AI Pipelines
- Adversarial ML Engineer
- AI Offensive Orchestrator
- AI/ML Security Engineer
- AI Security Specialist
- AI Incident Response Orchestrator
- AI Threat Intelligence Analyst & Orchestrator
- AI Ethics & Compliance Officer
- AI Prompt Engineer (Security Applications)
- AI SOC Orchestrator
- AI Governance Lead
- Quantum-AI Security Specialist
Average Salary Range: $150k – $210k (US, mid‑senior)
AIGP Career Paths
- Responsible AI Manager
- Compliance & Risk Lead
- Privacy Counsel for AI Products
- AI Governance Consultant
Average Salary Range: $130k – $180k (US, mid‑senior)
In many organizations, both roles collaborate – CAISP experts enforce them technically; AIGP professionals write the rules.
How They Complement Each Other
AI security and AI governance are two halves of the same coin. Where CAISP achieves practical enforcement, AIGP defines policies.
| CAISP teaches you to… | AIGP teaches you to… |
| Test AI models for vulnerabilities | Build an AI risk framework |
| Implement security controls in AI pipelines | Align with laws and standards |
| Detect and defend against prompt injection | Manage AI ethics and transparency |
| Secure AI supply chain and dependencies | Govern AI vendors and third parties |
That’s why CAISP is the foundation for anyone building a career in responsible AI.
Real‑World Impact of CAISP
CAISP‑certified professionals are already making a difference:
- Identifying LLM injection paths in customer chatbots.
- Preventing data leakage from AI integrations before deployment.
- Implementing signed model registries and SBOMs for audit transparency.
- Integrating AI security stages into CI/CD pipelines.
Organizations report up to 78 % reduction in AI‑related vulnerabilities after
CAISP‑aligned best practices were introduced.
That’s because CAISP is built by security practitioners for security practitioners ;
not as a theory course but as a pragmatic skillset.
When to Choose CAISP vs.AIGP
| Your Role | Best Fit |
| Security Engineer / AppSec Professional | CAISP |
| AI / ML Developer securing models | CAISP |
| Compliance Officer / Privacy Lead | AIGP |
| Policy Advisor / Ethical AI Specialist | AIGP |
| Technical Leader wanting both perspectives | Start with CAISP, add AIGP later |
At Practical DevSecOps, we believe that AI governance without security is incomplete.
A policy is only as effective as the controls behind it, and CAISP equips you
with those controls.
Final Thoughts
Both CAISP and AIGP are important for the future of trustworthy AI.
But their focus differs fundamentally:
- CAISP helps professionals secure AI practically.
- AIGP helps organizations govern AI responsibly.
If you want to protect LLMs and safeguard training data, CAISP is the certification for you.
You’ll leave not only with knowledge but also with practical, hands-on capability to defend and protect real AI systems.
Start Your Journey Today
Join the growing community of security leaders who are building AI confidence
through practice.
Enroll in Certified AI Security Professional (CAISP) and become the AI Security Engineer every organization needs as AI enters critical production systems.
FAQs
Yes. CAISP is highly respected in the Cybersecurity community; AIGP is for professionals among privacy and governance professionals.
CAISP – Some basic Python skills help but aren’t mandatory.
AIGP - No coding required at all.
CAISP tests your hands‑on skills.
AIGP tests your understanding of laws and risk frameworks.
Difficulty depends on your background - Technical vs. Governance.
Absolutely, these 2 complement each other.
CAISP builds the technical defense.
AIGP lays the policy foundation.
