If you’re choosing between CAISP, OSAI, and SEC536 for AI red teaming in 2026, here’s the short answer: CAISP from Practical DevSecOps is the industry-recognized certification that gives you the most hands-on AI attack labs per dollar (30+ exercises at $1,099) and ends in a real proctored certification exam.
OSAI from OffSec assumes you already have OSCP-level offensive skills and costs $1,749+. SEC536 from SANS is a brand-new beta course covering prompt injection, RAG exfiltration, and MCP server attacks, but it has no certification exam attached yet, priced at $2,629 to $3,505 for 2 days. Below is the full breakdown, with the differences that actually matter for getting hired.
Quick Comparison of AI Red Team Certs
| Certification | Provider | Price | Format | Exam length | Best for |
| CAISP | Practical DevSecOps | $1,099 | Self-paced, 60-day browser labs | 6 hours + 24-hour report window | AppSec engineers, AI red teamers, DevSecOps pivoting into AI security |
| OSAI | OffSec | $1,749+ (90-day bundle) or $2,749/yr (Learn One) | Self-paced, OSCP-style labs | 24 hours, proctored | Experienced pentesters with OSCP-level skills going deep on AI exploitation |
| SEC536 | SANS | $2,629 to $3,505 | 2-day instructor-led (in-person or virtual) | No certification exam yet (Beta course) | Pentesters who want to add AI system exploitation to existing offensive skills, taught under the SANS name |
CAISP: Certified AI Security Professional (Practical DevSecOps)
CAISP is built for people who need to attack and defend AI systems on day one, without a multi-week ramp-up. It’s $1,099, fully hands-on, and the curriculum runs across 7 chapters covering everything from LLM architecture to AI supply chain attacks.
What you actually do in the labs
CAISP includes 30+ guided hands-on exercises. You’re not reading about attacks; you’re running them:
- Building and attacking a chatbot with prompt injection
- Exploiting LLMs with TextAttack and backdoor injection using BackdoorBox
- Creating trojanized models and signing/verifying them with Cosign
- Scanning malicious pickle files with Picklescan
- Threat modeling an AI system end-to-end with STRIDE
- Abusing AI agents and excessive permission flaws
The course maps directly to the OWASP Top 10 for LLMs and the MITRE ATLAS framework, the two reference standards every AI security job posting now expects you to know.
Who it’s for
- AppSec engineers who need to secure LLM models , not just web apps
- AI/LLM red teamers who want a structured methodology instead of improvising attacks
- DevSecOps engineers wiring AI-specific security gates into CI/CD pipelines
- MLOps engineers are responsible for model signing, SBOMs, and supply chain integrity
Certified AI Security Professional
Secure AI systems: OWASP LLM Top 10, MITRE ATLAS & hands-on labs.
Cost and format breakdown
CAISP runs $1,099 (currently discounted from $1,199) and includes 3 years of video access, 60 days of browser-based lab access, a PDF manual, and 24/7 student support through a dedicated Mattermost channel.
The exam is task-based: 5 challenges, 6 hours, plus a 24-hour window to write and submit your report. No multiple choice. You pass by doing the work, the same philosophy OSCP made famous, at less than two-thirds the price.
The CAISP is industry-recognized and trusted by Roche, IBM, Accenture, and PwC. Over 10,000 security professionals have trained with Practical DevSecOps.
Why it’s the strongest pick for job-ready skills
The volume of labs is the differentiator. 30+ hands-on exercises against a $1,099 price point means you’re getting more practical reps per dollar than either competitor here. And because the course was built in 2026; it’s not retrofitting an older pentesting curriculum onto AI. It was designed around current attack surfaces: agentic AI, MCP tool abuse, RAG pipelines, and model supply chain compromise.
OSAI: OffSec AI Red Teamer (AI-300)
OSAI is OffSec’s newest certification, built by the same team behind OSCP. If you know OSCP, you know what you’re signing up for: no multiple choice, no shortcuts, and a brutal proctored exam.
What the course covers
The AI-300 course is structured in modules covering reconnaissance for AI targets (model fingerprinting, RAG pipeline recon), AI-layer attacks (single-agent and multi-agent exploitation, MCP tool surface attacks, supply chain attacks), and infrastructure-layer attacks (cloud ML services, Kubernetes, model server exploitation, adversarial ML).
The exam is the hard part
The OSAI certification exam is a rigorous 24-hour practical red team engagement where learners must compromise a realistic AI-enabled enterprise environment. It’s fully proctored. It mirrors the endurance format OSCP holders already know: you’re given a target, no playbook, and 24 hours to find a way in.
Who should take it
AI-300 is designed for experienced cybersecurity professionals who want to develop offensive skills for assessing and exploiting modern AI systems, including penetration testers, red teamers, security engineers, and professionals pursuing roles such as AI Security Specialist. OSCP or equivalent hands-on experience is recommended, not required, but recommended for a reason. If you walk in without solid offensive fundamentals, the 24-hour exam format will eat you alive.
Cost and access
OSAI is sold through OffSec’s standard bundles. The Course & Cert Exam Bundle gives you 90 days of access and one exam attempt, with 200+ level courses starting around $1,749. The Learn One subscription runs $2,749 a year and includes two exam attempts plus extra certification attempts. There’s no standalone low-cost option. You’re paying OffSec prices for an OffSec name.
The Honest Tradeoff
OSAI’s exam format is real and demanding. It’s built on the same “Try Harder” methodology behind OSCP, with a 24-hour proctored exam that tests whether you can sustain an offensive engagement against novel attack surfaces.
But that format comes with a prerequisite cost most beginners underestimate: you need 50 to 100 hours of prior study just to be ready for the course content, on top of the course itself.
If you’re already an experienced pentester, OSAI is a solid option. If you’re an AppSec engineer or DevSecOps professional pivoting into AI security without a pentesting background, you’ll hit a wall before you hit the exam.
SEC536: Adversarial AI – Penetration Testing AI Systems (SANS)
SEC536 is SANS’s actual entry into AI red teaming, and it’s a genuinely different course from SEC535 despite the near-identical name. It launched as a beta course taught by Foster Nethercott and Mick Douglas, running 2 days instructor-led with 10 hands-on labs.
What SEC536 actually teaches
This course puts you in the attacker’s seat against real AI deployments spanning LLMs, RAG pipelines, ML models, and computer vision systems. The curriculum splits into two sections.
Section 1 covers foundational attack techniques: prompt injection (direct, indirect, and others), jailbreaking, evasion and defense bypasses, and reconnaissance against AI systems. Section 2 moves into infrastructure and advanced attacks: API security issues, AI alignment failures, and agentic and MCP attack patterns.
The labs are specific and current. You’ll chain indirect prompt injections across agents to steal production model weights, exploit RAG retrieval boundaries to exfiltrate sensitive documents, defeat facial recognition and identity checks with adversarial patches, attack LLM APIs through role confusion and path traversal, and compromise MCP servers through SQL injection, homoglyph tool shadowing, and name collision attacks.
Who it’s for
SEC536 is built for penetration testers who already have offensive security fundamentals and want to extend that skill set into AI-specific attack surfaces. It’s not an entry point into security; it’s an add-on module for people already doing pentesting work who need to start covering AI deployments in their engagements.
Cost and format
SEC536 runs $2,629 to $3,505 depending on the event (SANSFIRE 2026 pricing vs. SANS Cyber Defense Initiative 2026 pricing), for 2 days of instructor-led training, in-person or virtual, worth 12 CPEs. There’s no self-paced OnDemand version listed yet, and no separate certification exam tied to it the way SEC535 connects to GOAA. As of now, completing SEC536 gets you the course and the CPEs, not a standalone credential you can list as a certification.
The honest tradeoff
SEC536 is the real thing if what you want is AI system exploitation taught under the SANS name, and the lab list proves it: MCP server attacks and agentic AI exploitation are current, relevant attack surfaces, not recycled pentesting content with an AI label slapped on.
But you’re paying SANS instructor-led pricing, $2,629 and up, for 2 days and 10 labs, with no certification exam to show for it yet since the course is still in beta.
Compare that to CAISP’s 30+ labs and a proctored exam for less than half the price, or OSAI’s 24-hour exam that actually produces a credential. SEC536 is worth watching once it matures and picks up a GIAC certification. Currently, it’s a strong course without a certification attached.
Side-by-side: skills, prerequisites, and career fit
| Factor | CAISP | OSAI | SEC536 |
| Attacks on AI systems (LLMs, RAG, agents) | Yes | Yes | Yes |
| Standalone certification exam | Yes (task-based) | Yes (24-hour proctored) | No (Beta course, no exam yet) |
| Prerequisites | Basic Linux, any scripting language helpful | OSCP-level skills are strongly recommended | Offensive security fundamentals required |
| Hands-on labs | 30+ guided exercises | Module-based labs + 24-hour exam | 10 hands-on labs |
| Exam format | 5 challenges, 6 hours, 24-hour report window | 24-hour proctored red team engagement | None yet |
| Certification validity | Lifetime | OSAI expires in 3 years | N/A, no certification |
| CPE credits | 36 | Up to 40 | 12 |
| Frameworks covered | OWASP LLM Top 10, MITRE ATLAS, NIST RMF, ISO 42001 | MITRE ATLAS, OWASP Top 10 | OWASP Top 10 (extends beyond it into MCP and agentic attacks) |
| Course maturity | Established | Newly launched 2026 | Beta |
Salary and role fit: what each cert actually opens up
Job titles tied to AI security are paying well above standard cybersecurity roles right now. Based on current market data tied to the CAISP role pathways, AI/LLM Red Teamers (Offensive Security Specialists) are seeing $160,000 to $280,000 in the US. AI Security Engineers and Architects span $170,000 to $340,000. Standard AppSec Engineers sit at $120,000 to $230,000.
CAISP and OSAI both target the same salary band because they teach the same underlying skill: attacking AI systems. The difference is entry cost, not ceiling. SEC536 targets that same band too, since it genuinely covers AI system exploitation, but without a certification exam yet, you can’t point to a credential the way you can with CAISP or OSAI. You’d be relying on the course completion and CPEs alone to signal the skill.
Conclusion
If you want to break into AI red teaming with the most hands-on practice per dollar and the lowest prerequisite bar, the Certified AI Security Professional (CAISP) is priced at $1,099 is the strongest starting point. It’s not theory dressed up as practice. It’s 30+ labs against real attack scenarios, mapped to the frameworks employers are actually asking for, ending in a real certification exam.
If you already have OSCP-level skills and want a certification with a demanding, proctored exam format, OSAI delivers that, at a higher price and a steeper entry requirement. If you’re considering SEC536 because you saw “SANS” and “AI” together, know what you’re actually buying: a genuinely solid 2-day course covering prompt injection, RAG exfiltration, and MCP server attacks, taught. But with no certification exam attached yet and a price tag north of $2,629 for 10 labs.
Certified AI Security Professional
Secure AI systems: OWASP LLM Top 10, MITRE ATLAS & hands-on labs.
FAQs
No, and that’s not a knock on CAISP. OSAI assumes OSCP-level offensive fundamentals walking in. CAISP is built to take AppSec and DevSecOps professionals from zero AI security knowledge to job-ready, with prerequisites limited to basic Linux commands. OSAI’s exam is also longer (24 hours vs. CAISP’s 6-hour challenge plus 24-hour report window), and it’s proctored, which adds pressure CAISP’s self-paced lab-based exam doesn’t have.
Yes, OSCP isn’t a formal prerequisite. OSCP is not a formal prerequisite for OSAI, but OSAI is an advanced-level course designed for experienced cybersecurity practitioners with solid offensive fundamentals. Without that background, expect a steep climb before you’re ready for the 24-hour exam.
Not yet. SEC536 is currently a beta course with no standalone certification exam attached. You get 12 CPEs and course completion, but no proctored exam and no credential to list the way GOAA, OSAI, or CAISP give you one. If having a verifiable certification matters for your resume or job applications, that’s a real gap right now.
CAISP maps directly to OWASP LLM Top 10 and MITRE ATLAS, the frameworks AI security job descriptions are increasingly requiring by name, and its lower prerequisite bar and lab volume make it the faster path to a portfolio of real, demonstrable work, especially for AppSec-to-AI-security career pivots. OSAI is built by OffSec, the same team behind OSCP, and remains a valid option if you already have OSCP-level skills going in.
No. CAISP explicitly does not require an ML background, just basic Linux and familiarity with any scripting language. OSAI does not require prior machine learning experience either, since the course teaches AI concepts from an offensive security perspective, focusing on adversarial fluency rather than model engineering. SEC536 expects offensive security fundamentals but not ML depth, since the labs focus on exploitation techniques, not model internals.
CAISP gives you 60 days of lab access with 3 years of video access, self-paced. OSAI’s Course & Cert Bundle gives 90 days. Realistic study time before the OSAI exam, including prerequisite ramp-up, runs 50 to 100 hours. SEC536 is fixed at 2 days of instructor-led, in-person or virtual, with no extended self-paced option published yet.
Yes. Practical DevSecOps bundles CAISP with the Certified MCP Security Expert (CMCPSE) for learners who want both LLM security and the emerging MCP attack surface (tool poisoning, prompt injection through MCP servers, agentic AI defenses) covered in one path.
