# Application security for teams building with AI

> Start with the security boundary you need to protect. These guides connect application behavior, AI tool permissions, and evidence a developer can review before release.

Official source: https://warhoundai.com/guides/
Updated: 2026-10-20

## Three different security questions

AI application security can mean protecting an application that uses AI, reviewing code produced with AI assistance, or using AI to investigate application weaknesses. These overlap, but they are different questions. A generated web app still needs ordinary server-side authorization even when it contains no language model. An AI assistant that calls tools also needs controls around those tools and the data it retrieves.

This hub helps you choose a review based on your application’s actual behavior. It is educational guidance, not a scan result or certification. Use environments and records you own or are explicitly authorized to test.

Choose the boundary before choosing a tool

| Situation | Security boundary | Start with |
| --- | --- | --- |
| An app built with an AI coding assistant | Users, records, backend actions, and secrets | Release checklist and API authorization |
| An app that retrieves documents or calls AI tools | Document permissions, tool authority, and output destinations | Prompt injection and MCP controls |
| An AI agent used for security investigation | Authorized scope, tool limits, and reproducible evidence | Testing scope and finding quality |

## Review an AI-built application before release

A working interface demonstrates that a user journey can succeed; it does not establish that forbidden actions fail. Write down which roles may read, change, export, or delete each important resource. Use controlled test accounts to check both allowed and denied behavior.

Begin with the release checklist, then follow the detailed guide for the boundary most relevant to your app. Keep a short evidence register containing the environment, expected rule, observed result, owner, and retest outcome. The downloadable review sheet below provides a starting structure.

- [Vibe coding security checklist for AI-built apps](https://warhoundai.com/blog/security-checklist-ai-built-apps/)
- [API authorization testing for SaaS](https://warhoundai.com/blog/api-authorization-testing-saas/)
- [Protect private API keys](https://warhoundai.com/blog/protect-api-keys-ai-built-apps/)

## Protect AI tools and retrieved content

Treat user messages, uploaded files, and retrieved pages as untrusted input. A model’s interpretation of that content must not grant access to another user’s records or authorize an outbound action. Enforce resource and action permissions in trusted code.

For MCP integrations, review the actual transport, authentication, consent, network destinations, and tool permissions. A connection that completes successfully has not automatically proved that a tenant boundary, token audience, or privileged tool is safe.

- [MCP security: a practical integration review](https://warhoundai.com/guides/mcp-security/)
- [Prompt injection and tool boundaries](https://warhoundai.com/blog/prompt-injection-ai-app-security/)

## Evaluate agent-driven testing and findings

A useful investigation separates an observed issue from an unverified possibility. It should explain the affected operation, prerequisites, sanitized evidence, impact, and intended correction. Automated scanners, code review, dependency checks, and agents can contribute different kinds of evidence.

Before active assessment, establish authorization, scope, synthetic data, rate limits, and stop conditions. After remediation, check the original failure and a legitimate user journey. A merged patch and a verified deployed fix are different states.

- [Agentic testing versus scanning](https://warhoundai.com/blog/agentic-security-testing-vs-scanning/)
- [Define an authorized testing scope](https://warhoundai.com/blog/authorized-security-testing-scope/)
- [Write actionable findings and verify fixes](https://warhoundai.com/blog/actionable-security-findings-remediation/)

## Reusable assessment and release templates

Download a scope worksheet before an authorized assessment, or a release-review register for a small application. Replace the placeholders with your own approved targets, permission rules, test identities, and owners. They are review aids, not authorization from WarHoundAI or proof that an application is secure.

The release sheet contains example review categories rather than a promised coverage list. Add checks for your own architecture and data. Keep live passwords, tokens, and customer records out of shared worksheets.

- [Download the assessment scope worksheet (Markdown)](https://warhoundai.com/guides/assessment-scope-template.md)
- [Download the release review register (CSV)](https://warhoundai.com/guides/release-security-review.csv)
- [Download the security finding and retest worksheet (Markdown)](https://warhoundai.com/guides/security-finding-template.md)

## Where WarHoundAI and BloodHound fit

WarHoundAI is developing BloodHound, an autonomous application-security agent intended to connect discovery, authorized testing, and remediation guidance. The public website and account access are available; BloodHound assessments and developer integrations are coming soon.

These guides can be used independently today. They do not mean WarHoundAI provides a released scanner, a live MCP connection, a production security-testing API, or independent verification of the example outcomes.

- [BloodHound by WarHoundAI: current availability](https://warhoundai.com/bloodhound/)
- [About the company and its mission](https://warhoundai.com/about/)
- [Our publishing and correction approach](https://warhoundai.com/about/#editorial-standards)

## Primary references and further reading

Technical guidance changes as protocols and applications evolve. Consult the linked primary documentation for implementation details and review the version that applies to your deployment. Our articles identify their sources and use illustrative examples rather than claiming undisclosed production tests.

- [OWASP Authorization Cheat Sheet](https://cheatsheetseries.owasp.org/cheatsheets/Authorization_Cheat_Sheet.html)
- [OWASP Secrets Management Cheat Sheet](https://cheatsheetseries.owasp.org/cheatsheets/Secrets_Management_Cheat_Sheet.html)
- [Model Context Protocol security best practices](https://modelcontextprotocol.io/docs/2026-07-28/tutorials/security/security_best_practices)