Summary
AI agents are already talking to each other, and attackers are listening. CAASE is the first certification built for that fight. You don’t get a multiple-choice quiz. You get a 100% hands-on exam that proves you can break and defend agent-to-agent protocols like A2A, ACP, and UCP. It costs $899 once and is valid for life, with no renewals and no fine print.
88% of organizations confirmed or suspected an AI agent security incident in the past 12 months.
- Healthcare hit 92.7%.
- Financial services hit 54.7%.
Every cybersecurity training vendor now sells an “agentic AI security” course. Far fewer have a working exam, a real published syllabus, or a price you can actually check today.
This guide compares five options side by side:
- CAASE from Practical DevSecOps
- SANS SEC546
- EC-Council COASP
- Proofpoint’s AI Agent Security Specialist
- Learning Tree’s Agentic Security course
The Quick Reference Comparison Table
Here is the full picture before the detail. This table alone answers most of what you came here for.
| Provider | Status | Price | Exam Format | Agentic Depth |
| CAASE (Practical DevSecOps) | Coming Soon | $899 | 5 challenges, 6 hrs, 80% pass, 24 hr report | 7 chapters: agent harnesses, memory poisoning, A2A/ACP/UCP protocols, multi-agent identity |
| SANS SEC546 | Beta interest list only, not released | Not published (comparable SANS courses run $8,000 to $10,000) | Not published | 5-day course purpose-built for agentic AI |
| EC-Council COASP | Live | $2,199 self-paced; ILT partners $999 to $2,799+ | 70 questions (65 MCQ + 5 performance based), 6 hrs, 70 to 80% pass | Offensive-first: agent hijacking, RAG exploitation, cross-agent injection |
| Proofpoint AI Agent Security Specialist | Live | Free | 3 sessions + 3 exams, 100% pass required each | Governance and visibility framing, not hands-on exploitation |
| Learning Tree Agentic Security | Live | $2,785 (3-day instructor-led) | No certification exam, CPE eligible | Deep labs: prompt injection taxonomy, memory forensics, multi-agent SecOps builds |
Why Agentic AI Security Became Its Own Hiring Category
Securing a large language model and securing an AI agent are not the same job.
A model answers a question. An agent does far more:
- Plans multi-step tasks
- Remembers information across sessions
- Calls external tools
- Browses the web
- Writes and runs code
- Delegates work to other agents
Each of those capabilities is a new place for an attacker to get in.
The CAASE syllabus opens by asking what actually makes an agent different from a single LLM call. It covers the plan, act, observe loop and the trust boundaries between an agent runtime and the tools it can invoke.
Generic prompt injection training typically does not cover:
- Memory poisoning across sessions
- Tool-call chaining used to escalate privilege
- Confused-deputy attacks between two delegated agents
Agentic security training does cover these, because these are the attacks actually happening.
The Salary Data Behind the Demand
- AI Security Engineer roles pay $152,773 to $187,975 on average in the US, with the top 25% clearing $237,138 (ZipRecruiter and Glassdoor, 2026).
- Compare that to the general median for information security analysts: $124,910 per year, per the U.S. Bureau of Labor Statistics.
- A Senior AI and Agentic Security Architect runs $130,000 to $209,000 in the US.
- The top 10% of AI Security Engineers now clear $293,000 in base pay alone (Glassdoor, 2026).
- Specialists who add agentic red teaming or multi-agent security skills command 20% to 30% more (infosec.qa, 2026).
- 97% of organizations hit by an AI security breach had no AI access controls in place at all, per IBM’s 2025 Cost of a Data Breach Report, which studied 600 organizations.
The gap between deployment speed and security readiness is the entire reason this certification category exists.
Agentic Stack: CAISP, CMCPSE, and CAASE
Before comparing outside providers, it helps to understand what Practical DevSecOps actually built. It is the only provider here running three certifications that stack into a full agentic security career path, rather than one standalone course.
The Three-Layer Model
This layering answers a question most competitors never ask: which part of the stack is actually being attacked?
- CAISP secures what the model knows and outputs.
- CMCPSE secures the tool-calling layer that connects a model to external systems.
- CAASE secures what the agent decides and does once it is wrapped in a harness with memory, goals, and delegation.
Practical DevSecOps’ own CMCPSE FAQ puts it plainly: securing AI systems protects what the model knows and outputs, while agentic security protects what the system decides and does.
None of the other four providers split the problem this way. SEC546, COASP, Proofpoint, and Learning Tree each try to cover the whole agentic stack in one course. That is not automatically worse, but it means a buyer is making a single bet instead of building toward a specialization.
CAISP: The Foundation Layer
Certified AI Security Professional (CAISP) is Practical DevSecOps’ best-selling AI security certification. It is the recommended prerequisite for CAASE.
Across 7 chapters, it covers:
- LLM architecture and attacks
- The OWASP Top 10 for LLM Applications
- AI supply chain security
- STRIDE-based threat modeling for AI systems
- Governance under NIST RMF, ISO/IEC 42001, and the EU AI Act
What is included:
- 50+ guided exercises, including building a fine-tuned model, attacking an LLM with TextAttack, and signing models with Cosign
- 3 years of video access
- 60 days of browser-based lab access
- A PDF manual
- 24/7 support through a dedicated Mattermost channel
- One exam attempt
- 36 CPE points
- Lifetime validity, no expiration
Security Engineering Manager Nithissh Sathish called the course practical for securing AI and ML systems in his LinkedIn review. Director of Security Architecture Rodger C. Scoggin described it as lab oriented, with an exam that was lab based too.
Over 12,500 learners have gone through Practical DevSecOps’ certifications. Graduates now work at Roche, IBM, Accenture, PwC, Booz Allen Hamilton, Deloitte, adidas, and Backblaze.
CMCPSE: The Plumbing Layer
Certified MCP Security Expert (CMCPSE) is the certification most competitors do not offer at all.
Model Context Protocol is the connective tissue between an LLM and the external tools it calls. Real exploits are already circulating:
- Tool poisoning
- Supply chain compromises scoring 9.6 on CVSSv3
- Cross-server privilege escalation on servers with hundreds of thousands of downloads
Across 6 chapters, CMCPSE covers:
- MCP architecture: hosts, clients, servers, and the tool, resource, and prompt primitives
- Attacking MCP servers: tool poisoning, rug-pull attacks, confused-deputy exploits, server impersonation
- Threat modeling with STRIDE and MITRE ATLAS
- Defending and hardening servers with OAuth 2.0 and TLS
- DevSecOps integration: SAST, DAST, and AI firewalls
- Supply chain governance: SBOMs and code signing
At $599 launch pricing, CMCPSE is the least expensive of the three Practical DevSecOps agentic certifications. Its own FAQ is candid about the salary math:
- Regular security engineers earn around $110,000
- CMCPSE-certified professionals move into the $130,000 to $165,000 range
- Top performers clear $175,000
- That is a stated 15% to 25% premium specifically for MCP security skill
CAASE: The Agent Layer
This is the layer competitors are still building toward.
Certified Agentic AI Security Expert (CAASE) has a fully live enrollment page, a complete published syllabus across 7 chapters, and an active pre-signup flow at $899. This is true even though the course still carries a “Coming Soon” launch label. That is a materially different state than SEC546’s bare interest-collection form.
The syllabus, chapter by chapter:
- Chapter 1: Agent harness architecture, including real-world harnesses like the OpenClaw ecosystem
- Chapter 2: The prompt injection taxonomy as it applies to an agent’s full reasoning loop, plus goal hijacking and objective substitution
- Chapter 3: Attacking and defending agent memory, RAG poisoning, and tool-calling interfaces
- Chapter 4: Computer-use, browser, and coding agents, including a documented OpenClaw exposed-gateway case study
- Chapter 5: Multi-agent systems, agent-to-agent identity, delegated authorization, and confused-deputy attacks
- Chapter 6: Operationalizing agentic security with red-team CI/CD gates and AI Bill of Materials generation
- Chapter 7: Threat modeling full deployments and the emerging agent communication protocols: A2A, ACP, and UCP
CAASE dedicates an entire chapter to agent communication protocols. Neither COASP, SEC546’s public description, Proofpoint, nor Learning Tree names A2A, ACP, or UCP in their published materials. As multi-agent systems become the norm, that is the layer most competitors have not caught up to yet.
The exam mirrors CAISP and CMCPSE:
- 5 task-based challenges in a 6-hour window
- No multiple choice
- 80% passing threshold
- 24 hours afterward to write and submit a findings report
Course content totals 40 hours: 8 hours of video and 32 hours of hands-on labs. It is deliverable as either 3-day instructor-led training or 36 hours self-paced. Enrollment includes 3 years of video access, 60 days of lab access, 30+ guided exercises, and one exam attempt.
The Bundle Math
If you are building the full agentic security stack rather than picking one layer,
| Bundle | Price | Individual Total | Savings |
| CAISP + CMCPSE | $1,618 (regular $1,798) | $1,698 | $180 |
| CAISP + CAASE | $1,799 | $1,998 | $199 |
| CMCPSE + CAASE | $1,439 | $1,498 | $59 |
| CAISP + CMCPSE + CAASE | $2,429 | $2,597 | $168 |
Compare the full three-certification bundle, $2,429 for model security, MCP security, and agent security together, against:
- A single EC-Council COASP self-paced enrollment at $2,199
- A single Learning Tree course at $2,785 with no credential attached
The bundle covers three distinct attack layers for roughly the price competitors charge for one.
EC-Council COASP: The Offensive Alternative That’s Actually Live
Certified Offensive AI Security Professional (COASP) is EC-Council’s answer to the same market gap. Unlike SEC546, it is fully launched. EC-Council released it alongside three other AI certifications in February 2026, positioning it as an offensive-security-first credential in the CEH lineage.
Exam details, exam code 312-52:
- 70 questions total
- A hybrid of 65 multiple-choice and 5 performance-based tasks
- Delivered over a 6-hour window
- Passing score between 70% and 80%
Pricing sits at $2,199 for self-paced access through EC-Council’s iClass platform. Third-party authorized training partners list it anywhere from $999 to $2,799 or more, depending on delivery format. COASP requires roughly 2 years of prior cybersecurity experience and aligns its content to OWASP’s LLM Top 10, MITRE ATLAS, NIST AI RMF, and ISO 42001.
On agentic depth specifically, COASP earns real credit. Its curriculum covers:
- Agent hijacking
- Cross-agent prompt injection propagation
- Tool-call hijacking
- RAG pipeline exploitation across multi-agent frameworks
That is more agentic-specific content than most competitors outside of CAASE offer. Practical DevSecOps’ own CAISP vs. COASP comparison frames the trade-off this way: COASP is the stronger pick for pure offensive red-teaming under an established brand name. A hands-on, no-multiple-choice practical exam and immediately available salary data make CAISP the safer bet for buyers who need job-ready skills right now.
SANS SEC546: The Course Everyone Is Waiting For
SEC546: Securing Agentic AI carries genuine institutional weight. SANS describes it as the first course built end-to-end for securing agentic AI, distinct from a GenAI course with an agent chapter tacked on.
The published curriculum covers:
- Guardrail design
- Prompt injection and context poisoning defense
- Goal and scope integrity enforcement
- Identity and permissions for autonomous agents
- Hardening multi-agent workflows
- Containing rogue or compromised agents
It is structured as a 5-day course.
Here is the catch: as of this writing, SEC546 is in beta and only accepting sign-ups for an interest notification list. There is no public price, no confirmed exam format, and no beta registration window opened yet. Anyone citing a specific SEC546 price right now is guessing.
What we can do is anchor expectations against SANS’ known pricing pattern, per Vendr’s 2026 SANS pricing analysis:
- A typical live SANS course runs $8,000 to $10,000 per seat, including course materials, hands-on labs, and one GIAC certification exam attempt
- OnDemand self-paced access typically lists $5,000 to $7,000
- If SEC546 follows that same structure once it launches, expect it to land three to four times the price of COASP or CAASE
For a sense of where SANS currently prices agentic-adjacent training, look at its sibling courses:
- SEC545: GenAI and LLM Application Security already covers designing and securing agentic systems as part of a broader application security curriculum
- SEC411 sits at the entry level: $1,750, self-paced, 24+ hours of content, five hands-on labs with 125+ tasks, expanded MCP security coverage, but no certification exam and no verifiable credential at the end
That is a meaningfully different product than SEC546 is promising to be. Even at SANS’ entry tier, you finish with course credits, not a portable exam-backed certification.
Proofpoint AI Agent Security Specialist: Free, Live, and Narrow by Design
Proofpoint’s Certified AI Agent Security Specialist course is genuinely free. It sits in the Leadership Specialist tier of Proofpoint’s Cybersecurity Academy, alongside its AI Data Security Specialist and AI Email Security Specialist programs.
The format:
- 3 recorded sessions
- 3 corresponding exams
- A perfect 100% score required on each exam to pass
- Unlimited retakes
The content frames agent risk through a governance and data-protection lens rather than hands-on exploitation. Proofpoint’s positioning treats AI agents the way it treats human employees: entities that need visibility, access governance, and data-loss protection extended to cover their behavior.
That is a legitimate and increasingly necessary framing for GRC and compliance teams. It is not a red-team or defense-engineering curriculum. There is no lab environment where you poison an agent’s memory or spoof an agent-to-agent message the way CAASE’s hands-on exercises walk you through.
Think of Proofpoint’s course as literacy training, not practitioner training.
- It is the right choice for a compliance manager who needs to speak intelligently about agent risk in a board meeting.
- It is the wrong choice if your job is to actually stop an agent hijacking attack.
Learning Tree Agentic Security: The Deepest Labs With No Credential Attached
Agentic Security: Attack and Defend AI Agents is Learning Tree’s 3-day instructor-led course, priced at $2,785 and available online or in person from Herndon, VA or Ottawa locations.
It requires:
- 2+ years of cybersecurity experience
- Basic Python
- Docker familiarity
- Command-line comfort
That is despite being formally labeled a Foundation-level course on Learning Tree’s own site, a small inconsistency worth flagging if you are deciding whether it fits your current skill level.
The lab depth genuinely rivals CAASE. Across six modules, students:
- Trace the full AI architecture stack
- Deploy RAG pipelines with live threat intelligence integration
- Execute the complete prompt injection taxonomy: direct, indirect, chained, multi-language, and refusal suppression
- Conduct training data poisoning and model extraction attacks
- Perform AI-assisted memory forensics using Volatility 3 to detect process hollowing and DLL injection
- Build multi-agent SecOps workflows with LangChain, CrewAI, or AutoGen wired through Apache Kafka
What Learning Tree does not offer is a certification exam.
- No proctored assessment
- No pass or fail credential
- No digital badge
It is completion-based training that is CPE-eligible against certifications like Security+. That matters if you are maintaining an existing credential’s continuing education requirements. It does not give you a new, independently verifiable certification the way CAASE, COASP, or a future SEC546 GIAC exam would.
Curriculum Coverage Matrix: What Each Course Actually Teaches
Marketing pages love the phrase “comprehensive coverage.” Here is what that claim actually looks like once you compare published syllabi topic by topic.
| Topic | CAASE | COASP | SEC546 | Proofpoint | Learning Tree |
| Agent reasoning-loop / goal hijacking | Yes | Yes | Yes | No | Yes |
| Memory and RAG poisoning | Yes | Partial | Yes | No | Partial |
| Multi-agent identity and delegation | Yes | Partial | Yes | No | Partial |
| Agent communication protocols (A2A/ACP/UCP) | Yes | No | Not named | No | No |
| MCP-specific attacks (tool poisoning, rug-pulls) | Partial, full in CMCPSE | No | No | No | No |
| Coding/browser/computer-use agent security | Yes | Partial | Not named | No | No |
| Supply chain / SBOM / model signing | Yes | Partial | Not named | No | No |
| Governance (NIST AI RMF, EU AI Act) | Yes | Yes | Not named | Framing only | Yes |
| Rogue-agent containment / fail-safe design | Yes | No | Yes | No | Partial |
Two things stand out.
- CAASE is the only course with a dedicated chapter on agent communication protocols, the layer most multi-agent production systems now run on.
- Proofpoint is honest about what it does not cover. It is the only provider here whose course never touches memory poisoning, tool-calling abuse, or protocol-level attacks, because that is simply not its lane.
What You Actually Touch in the Labs
Syllabus bullet points are one thing. The tools an exam or lab environment actually puts in your hands tell you more about whether a course builds transferable skill.
CAASE’s labs run entirely in a browser, with no local VM setup:
- Stand up a minimal agent harness on a local open-weight model
- Connect LibreChat for MCP tool-calling
- Orchestrate Hermes agent pairs across local and cloud-routed models
- Reproduce a documented OpenClaw misconfiguration
- Sandbox tool execution with Docker
- Sign an agent harness with Cosign
Learning Tree’s labs lean into forensic and SecOps tooling:
- Volatility 3 for AI-assisted memory forensics
- Apache Kafka and Redis/Celery for multi-agent infrastructure
- LangChain, CrewAI, or AutoGen for building the agent workflows you will later attack
COASP’s labs, per training partner descriptions, focus on LLM and RAG pipeline exploitation using OWASP LLM Top 10 and MITRE ATLAS-aligned scenarios. The exact tool list is not published as granularly as CAASE’s or Learning Tree’s.
SEC546’s lab environment is unknown until SANS opens beta access. Proofpoint’s course has no lab environment at all. It is recorded video sessions and knowledge-check exams.
Renewal Costs and the Total Price You Will Actually Pay
The sticker price on a certification is rarely the full story. Renewal cycles quietly add hundreds of dollars over a few years, and providers differ sharply on this.
| Provider | Validity | Renewal Requirement | Est. 5-Year Renewal Cost |
| CAASE, CAISP, CMCPSE | Lifetime, no expiration | None | $0 |
| COASP | 3 years | 120 ECE credits per cycle plus $80/year membership fee | Roughly $160 to $240 |
| SEC546 (GIAC pattern) | 4 years, typical GIAC cycle | CPE credits or retake, renewal fee typically $400 to $600 | Roughly $400 to $600 per cycle |
| Proofpoint | 2 years | Retake the course and exams | $0, course is free to redo |
| Learning Tree | N/A, no certification issued | N/A | N/A |
Practical DevSecOps’ lifetime-validity model, confirmed on the CAISP, CMCPSE, and CAASE FAQ pages, means the $899 to $1,099 sticker price is the entire cost across a career. There are no recurring ECE credits or renewal fees to track.
COASP’s 120-credit, 3-year ECE cycle plus its $80 annual membership fee adds real ongoing cost and effort, per EC-Council’s own certification policy. GIAC certifications, the credential family SEC546 would presumably issue, typically renew every four years for $400 to $600 in fees.
Over a 10-year career, that gap compounds. A GIAC-based agentic credential could cost $1,000 or more in renewals alone, before counting the original course tuition of $8,000 or higher.
Who Is Actually Behind Each Certification
Curriculum aside, it helps to know who built these courses and how established each organization is in security training specifically.
- Practical DevSecOps has certified more than 12,500 security professionals and holds SOC 2, GDPR, and ISO/IEC 27001 compliance, per its Trust Center. Instructors have presented at Black Hat, OWASP events, BSides, and BruCON. It is a specialist DevSecOps and AI security training company, which shows in how narrowly and technically its three agentic certifications are scoped.
- EC-Council is the organization behind Certified Ethical Hacker (CEH), one of the most widely recognized names in offensive security certification. COASP inherits that brand recognition along with EC-Council’s established global exam infrastructure and 3-year ECE renewal framework.
- SANS Institute and its GIAC certification arm carry arguably the strongest institutional reputation in this comparison, built over decades of instructor-led training. That reputation is exactly why SEC546’s eventual launch is worth watching, even though it is not purchasable yet.
- Proofpoint is a publicly traded enterprise security vendor whose Cybersecurity Academy exists primarily to build product literacy and community goodwill around its own platform. That explains the free pricing and the governance-first framing.
- Learning Tree International has run technical and IT training since 1974, giving its Agentic Security course institutional longevity, even without an accompanying certification exam.
Price vs. Depth: The Trade-Off Nobody States Plainly
Lay the five options on a single axis and a pattern emerges immediately.
| Provider | Price | Portable Exam? | Lab Depth | Best For |
| CAASE | $899 | Yes, 5 challenges, 80% pass | High | A stackable, exam-backed credential at the lowest live price |
| COASP | $2,199 | Yes, 70Q hybrid exam | High | Red teamers wanting an established brand and offensive focus |
| SEC546 | TBD, likely $8,000+ | TBD | Unknown, likely high | Buyers who can wait and have a large training budget |
| Proofpoint | Free | Low-stakes, must retest to 100% | Low | GRC and compliance roles needing agent-risk literacy |
| Learning Tree | $2,785 | No | High | Practitioners who want maximum lab reps, no portable credential needed |
Two data points jump out.
- Proofpoint, free and shallow, and Learning Tree, expensive and deep with no credential, sit at opposite corners of the same chart. Neither gives you what most hiring managers actually want: proof of hands-on skill plus a verifiable credential in one package.
- CAASE is currently the only live option combining a real practical exam, genuinely deep agentic-specific content covering protocols competitors have not even named yet, and a price under $1,000.
COASP comes closest as a second option, at roughly 2.4 times the price with a partially multiple-choice exam instead of CAASE’s fully practical model. SEC546 could eventually beat both on institutional prestige, but until SANS opens beta registration and publishes a price, it is not a purchasing decision anyone can actually make yet.
Exam Format Head to Head
If exam rigor is your deciding factor, here is how the five stack up on format alone.
| Provider | Format | Multiple Choice? | Time Limit | Passing Bar |
| CAASE | 5 practical challenges + written report | No | 6 hrs + 24 hr report window | 80% |
| COASP | 70 questions, 65 MCQ + 5 performance-based | Mostly | 6 hrs | 70 to 80% |
| SEC546 | Not yet published | Unknown | Unknown | Unknown |
| Proofpoint | 3 exams tied to 3 sessions | Unknown format, needs perfect score | Not specified | 100% per exam |
| Learning Tree | No exam | N/A | N/A | N/A |
CAASE and its sibling certifications from Practical DevSecOps share a clear design philosophy: no multiple choice anywhere in the exam.
You either solve the five practical challenges in the six-hour window and write a defensible report, or you do not pass. That is a meaningfully different signal to an employer than a hybrid MCQ exam. It demonstrates you can actually execute the attack and defense techniques under time pressure, rather than recognize the correct answer among four options.
Which Certification Should You Actually Pick
Your answer depends less on brand recognition and more on what you need proven and how soon you need it proven.
- Want a portable, exam-backed credential you can start today at the lowest price, with the deepest currently-published agentic curriculum? Enroll in CAASE. Pair it with CAISP for foundational LLM security, or add CMCPSE if your organization runs MCP servers.
- Want an established brand name in offensive AI red-teaming and do not mind a partially multiple-choice exam? COASP is the live alternative.
- Have a flexible timeline and a large training budget, and institutional prestige matters more than getting certified this quarter? Join the SEC546 interest list.
- Working in GRC or compliance and need free literacy training to speak credibly about agent risk in cross-functional meetings? Proofpoint’s course costs nothing and takes a few hours.
- Want maximum hands-on lab reps and do not care about a portable credential? Learning Tree’s three days of instructor-led attack-and-defend labs deliver real depth, just without anything to put on a resume afterward.
Matching the Certification to Your Actual Job Title
Generic advice breaks down once you look at specific roles. Here is how the five options map to who is actually going to sit the exam.
Penetration Tester or Red Teamer
Moving into AI engagements means wanting an exam that proves offensive execution, not recognition.
- CAASE’s five-challenge, no-MCQ format and COASP’s performance-based questions both work here.
- CAASE wins on price and on covering agent-to-agent attacks specifically.
- COASP wins if the client roster cares about EC-Council brand recognition on a report cover page.
Application Security Engineer
A team that just shipped its first internal AI agent needs the defensive half more than the offensive half.
- CAASE’s chapter on guardrail frameworks, structured output enforcement, and objective-drift detection maps directly onto that job.
- It pairs naturally with CAISP if the same engineer also owns LLM integration review.
DevSecOps or Platform Engineer
Responsible for the CI/CD pipeline that deploys agents into production?
- Look hardest at CAASE’s Chapter 6, which covers red-team gates in CI/CD, AI Bill of Materials generation, and vetting third-party harnesses before they ship.
- Look at CMCPSE specifically if the pipeline in question is MCP-based.
GRC, Compliance, or AI Governance Analyst
Needs to speak credibly about agent risk without running exploits directly? This is the one persona where Proofpoint’s free course is genuinely the right tool, not a compromise. Pair it with CAASE’s governance chapter, covering NIST AI RMF, OWASP Agentic Security Initiative, and the EU AI Act, if the role later expands into technical oversight.
Security Leader Evaluating Team Training Budget
Run the math on the three-certification Practical DevSecOps bundle against sending even two people to a single week of SANS training.
At roughly $2,429 for three certifications covering the model, tool, and agent layers, versus $8,000 or more per seat for one SANS course once SEC546 launches, the bundle covers an entire team’s foundational agentic security training for less than two SANS seats.
Final Thoughts
Two of the five names in this comparison are not purchasing decisions yet. SEC546 is a curriculum description attached to a waitlist.
Everything else here, CAASE, COASP, Proofpoint, and Learning Tree, is something you can enroll in this week. That distinction should carry more weight in your decision than any single feature on the syllabus.
Among the live options, CAASE currently offers a rare combination:
- A fully practical exam
- Genuinely novel agentic-specific content competitors have not caught up to yet
- The lowest price point in the comparison
If you are building toward full-stack agentic security coverage rather than a single credential, the CAISP + CMCPSE + CAASE bundle remains the most complete package found anywhere in this space, at less than the price of a single COASP enrollment plus a Learning Tree course combined.
Enroll in CAASE today, or explore the full Practical DevSecOps learning path to see how CAISP, CMCPSE, and CAASE stack toward a complete agentic AI security specialization.
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Frequently Asked Questions
Both have value, but they prove different things to an employer. A completion certificate from a lab-heavy course like Learning Tree’s shows you have practiced the techniques. A practical exam like CAASE’s five-challenge, no-multiple-choice format shows you can execute those techniques independently under time pressure and document your findings professionally.
No, but it is recommended. CAASE’s prerequisites list basic Linux command familiarity and scripting exposure. It recommends completing CAISP beforehand since CAASE builds on foundational AI security concepts covered there. You can enroll in CAASE directly if you already have equivalent AI security experience.
CAASE, at $899 with lifetime validity and no renewal fees, works out cheapest over any multi-year period among the paid, exam-backed options. COASP’s $2,199 enrollment adds an ongoing $80 annual membership fee plus a 120-credit continuing education requirement every three years. A hypothetical GIAC-based SEC546 credential would likely follow SANS’ typical four-year renewal cycle, costing $400 to $600 per cycle, on top of a course price that historically runs into the thousands.
$100 flat retake fee, 15-day minimum gap, unlimited attempts.
Enterprise/team training option on top of the individual bundles.
No, all three courses run fully in-browser, 60 days of hosted lab access, no local Docker or VM install required.




