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Practical guides for buying, scoping, and reviewing product, cloud, and AI security testing without guesswork.
Written to help engineering and security teams make clearer buying decisions before a test starts.
Different security-testing questions need different kinds of help. Some teams need a calm introduction to what a pentest looks like. Others need a concrete buyer checklist for MCP servers, or a way to explain how AI red teaming fits into broader product security work.
This hub groups those resources by the job they do: preparing for a purchase, evaluating specialist scope, and reviewing the proof or deliverables that make an engagement defensible inside engineering, security, and procurement.
Why the guides are trustworthy
Use the guides to review Appsecco's method, public research, and reporting standards before you scope specialist testing.
Written by
Founder & CEO
Akash leads Appsecco's product security testing practice and the public research behind its assessment guides, testing methodology, and reporting standards.
Public proof buyers can inspect before they scope work.
If you want to inspect the practice behind these guides, these are the public resources most teams review first.
Sample Report
Inspect the evidence format, reproduction steps, and remediation detail before you ask for a quote.
Methodology
See how Appsecco scopes, runs, and delivers product security testing engagements.
MCP Security Testing Checklist for Buyers
Review the public checklist for tool safety, auth, connected-resource risk, and reporting depth.
Vulnerable MCP Servers Lab
A public training lab that makes tool abuse, prompt injection, and boundary failures concrete.
Open the related service page or sample artifact when you are ready to compare scope, deliverables, and next steps.
Preview sample reportBuyer guides
These are the practical guides for first-time buyers, procurement-heavy workflows, and teams trying to turn a vague testing request into a fixed, reviewable scope.
A calm walkthrough of scope, safety, communication, reporting, and what a good pentest process should feel like.
Best when your team needs shared language before talking to vendors.
A buyer-focused template for standardizing proposals, comparing vendors fairly, and making testing scope explicit in writing.
Best when procurement or multiple vendor bids are part of the process.
A checklist for evaluating whether an MCP assessment really covers transports, tools, prompt-to-tool risk, connected resources, OAuth, and report quality.
Best when AI assistants can reach tools, internal APIs, databases, or file systems through MCP.
AI & MCP depth
These guides help when the problem is not just app security, but model behavior, tool access, prompt-driven actions, and the difference between red teaming and broader product-security scope.
How to think about adversarial testing for LLM apps, RAG workflows, tools, MCP-backed actions, and model-connected product behavior.
Best when you need to separate behavior-risk testing from infrastructure or app-control review.
A side-by-side explanation of where red teaming fits, where product-security testing still matters, and why mature AI launches often need both.
Best when stakeholders are using the same terms to mean different types of testing.
A practical guide for separating workflow-level agent risk from protocol-level MCP, tool, and connected-resource risk.
Best when your AI feature uses agents and MCP, and reviewers are not sure where the real risk begins.
You do not need to read everything. Pick the guide that matches the current decision, then use it to tighten scope, compare options, or prepare internal reviewers before a statement of work is signed.
Use the first-pentest or RFP material when the team is still deciding how to buy testing at all.
Use the MCP and AI guides when tools, prompts, model behavior, or connected resources create risk that generic pentest language hides.
Use the guides alongside the sample report, methodology, and service pages to confirm the deliverables and testing approach are concrete.
Once the buying question is clear, move into a scoped assessment conversation or an RFP with less ambiguity and less internal churn.
Inspect the evidence, reproduction style, and remediation format before asking for a quote.
See how Appsecco scopes, runs, and delivers product security testing work.
Reference terms for AI, application, cloud, IAM, prompt injection, and MCP security concepts.
Understand how Appsecco frames fixed-price scoping across apps, cloud, and MCP surfaces.
Start with the MCP Security Testing Checklist for Buyers if the immediate question is how to evaluate scope and vendor depth. If your broader team is still aligning on how MCP, agents, and AI security testing relate, the agent-versus-MCP and AI red teaming comparison guides are the next useful reads.
No. They help remove ambiguity before a scoping conversation starts, which makes the eventual discussion shorter, clearer, and easier to defend internally.
Yes. They are written as buyer resources first. Use them to ask sharper questions, define safer scope, and compare evidence standards regardless of vendor.
That is common. Use the guides to separate the surfaces and then scope them together deliberately, rather than letting specialist work get flattened into a generic pentest statement of work.
Safe next step
Share the product surface you are shipping, what it can reach, and what kind of evidence your reviewers expect. We will point you to the right guide first, then talk scope only if it is useful.
Start a conversationor Preview a sample report first