--- title: "AI Application & Agent Security Services" canonical: https://wavect.io/services/ai-security/ language: en description: "Assess how your AI app handles private data, tools and actions. Wavect scopes security checks, implements agreed fixes and records retest evidence." image: "https://wavect.io/img/general/bak/open_graph_preview.jpg" --- AI Security # AI security for the data, tools and actions that matter. Your AI application may read private information and act through connected tools. We assess the agreed data and action boundaries, test realistic abuse cases and implement prioritized controls within the commissioned scope. THE ENGAGEMENT ## Map the authority. Test the boundary. Retest the fix. 1. **Identify access** Models, users, sources, tools and their permissions. 2. **Exercise abuse cases** Agree the scenarios, environment and expected denials. 3. **Implement and retest** Commission selected fixes and preserve the verification record. DIRECT ANSWER AI Security reviews the system around an LLM: identities, retrieval, memory, connected tools and actions. Findings, agreed fixes and retests make the tested boundaries and remaining limitations explicit. Best for - An existing AI feature with private data, tools or write permissions - A team that needs a bounded security review and actionable remediation Consider another approach - Building a new AI product or planning organization-wide adoption - An ordinary web app that was generated with AI but has no AI features ## Review what the application can reach and change Map users, service identities, model providers, retrieval sources, memory and tools. Define the actions that need explicit authorization. This is about a product that uses AI. If the immediate problem is a fragile AI-generated codebase, start with [Vibe Coding Rescue](/services/vibe-coding-rescue/); if the product still needs building, use [AI Agents & Products](/services/artificial-intelligence/). A broad pre-investment or pre-acquisition review that only flags AI risks among other findings is [Technical Due Diligence](/services/technical-due-diligence/); adversarial testing of the agreed boundaries stays here. ## Test the controls around the model Choose cases from your application’s actual authority. A convincing answer and a successful demo do not establish that data access or tool execution is authorized. Data and tenant boundaries Check which identity can retrieve, read and retain each source. Include revoked permissions, restricted records and shared memory where relevant. Tools and approvals Scope tool permissions and validate sensitive actions in the executing system. Check how approvals are bound to the actor, target and exact requested action. Untrusted content Exercise agreed prompt-injection, retrieval or tool-output abuse cases and trace their effect on data and actions. Containment and evidence Review relevant execution limits, credential scope, sandboxing and audit records. Scope the running infrastructure with Cloud Security when needed. ## Illustrative acceptance: one tenant cannot retrieve another tenant’s record Using synthetic data, a user from tenant A asks the agent for tenant B’s record. The data-access layer denies the request even when the model formulates the tool call. An authorized request inside tenant A still succeeds. Record the build, policy and retrieval configuration, expected result, observed behavior and logs. This is an illustrative test, not a customer outcome or proof of coverage across every tool. ## Turn a confirmed finding into a verified change Assessment and remediation are separate commitments. Agree coverage, permitted actions and retest scope before work starts. 1. **Assessment** - Receive the system map, agreed abuse cases, reproducible findings, coverage gaps and a prioritized remediation plan. 2. **Remediation and retest** - Commission selected code or configuration fixes. Retest the affected behavior and agreed regressions against a recorded system version. 3. **Continued review** - Agree which changes to tools, retrieval, policies, memory, prompts or providers trigger another review. Define cadence and responsibilities separately. ## Prepare a bounded environment and a named decision owner Provide the intended task, tool list, identity model, data classes, known findings and an appropriate test environment. Agree test accounts, permitted actions, load and spending limits, and stop conditions. Authorization belongs in the executing system; prompt wording and filters are additional controls. The [OWASP AI Agent Security guidance](https://cheatsheetseries.owasp.org/cheatsheets/AI_Agent_Security_Cheat_Sheet.html) describes these boundaries and repeatable abuse-case testing. ## Keep the results useful to the people running the product You receive the agreed findings, changes, test records and remaining limitations. Distinguish answer-quality evaluation from access and action checks. [DevSecOps](/services/devsecops/) covers how changes are released; [Cloud Security](/services/cloud-security/) covers runtime infrastructure. Specialist involvement is defined in the engagement. [Our Trust Center](/trust-center/) explains data handling and service levels. There is no implied 24/7 coverage, formal certification or promise that every attack will be prevented. // proof ## AI engineering experience, with its scope visible Twinsoft AI documents LLM integration, codebase refactoring and infrastructure work for a pilot-ready product. It demonstrates that delivery scope; it is not presented as a completed AI red-team assessment. ### [Twinsoft AI](/case-studies/twinsoft-ai/) - **Status:** Live - **Outcome:** 2 weeks - To Sellable MVP - **Summary:** Took a vibe-coded prototype to enterprise pilot-ready, no shortcuts. - **Stack:** Python, Flask, LLMs These are selected projects, not our full portfolio. We have shipped 100+ products since 2018. ## Questions before you start ### Is this for AI-generated code? The service focuses on applications that use an LLM, agent or AI-connected tools. An ordinary AI-generated app may instead need Vibe Coding Rescue, functional QA or a separately scoped application-security review. ### Is a stronger system prompt enough? Access and sensitive actions need controls in the data or execution system. Prompt rules, filters and model evaluations can support those controls, but do not replace authorization. ### Can you review RAG and MCP integrations? We scope the actual sources, identities, tools and permissions. Using a protocol or retrieval framework alone does not establish that its integration enforces the required access boundaries. ### Is this included in our QA retainer? General QA does not automatically include a comprehensive AI security assessment or penetration test. We agree the relevant additional scope and acceptance separately. ### What does a passing test establish? It records the observed behavior for the tested cases and configuration. The report also identifies untested areas, blocked checks and remaining risks. ### Will you implement the fixes? We can scope implementation of selected findings and a retest. You can also take the assessment to your own team; the findings and agreed deliverables remain yours. ## Choose your next step - [Build an AI product](/services/artificial-intelligence/) - [Stabilize an AI-generated prototype](/services/vibe-coding-rescue/) - [Explore agent authorization architecture](/blog/enterprise-mcp-authorization-architecture/) ## Structured Data ```json { "@context": "https://schema.org", "@graph": [ { "@id": "https://wavect.io/#organization", "@type": [ "Organization", "ProfessionalService", "LocalBusiness" ], "employee": [ { "@id": "https://wavect.io/team/kevin-riedl/#person", "@type": "Person", "jobTitle": "Managing Director", "name": "Kevin Riedl", "url": "https://wavect.io/team/kevin-riedl/", "worksFor": { "@id": "https://wavect.io/#organization", "@type": [ "Organization", "ProfessionalService", "LocalBusiness" ] } }, { "@id": "https://wavect.io/team/christof-jori/#person", "@type": "Person", "jobTitle": "Managing Director", "name": "Christof Jori", "url": "https://wavect.io/team/christof-jori/", "worksFor": { "@id": "https://wavect.io/#organization", "@type": [ "Organization", "ProfessionalService", "LocalBusiness" ] } } ], "founder": [ { "@id": "https://wavect.io/team/kevin-riedl/#person", "@type": "Person", "jobTitle": "Managing Director", "name": "Kevin Riedl", "url": "https://wavect.io/team/kevin-riedl/", "worksFor": { "@id": "https://wavect.io/#organization", "@type": [ "Organization", "ProfessionalService", "LocalBusiness" ] } }, { "@id": "https://wavect.io/team/christof-jori/#person", "@type": "Person", "jobTitle": "Managing Director", "name": "Christof Jori", "url": "https://wavect.io/team/christof-jori/", "worksFor": { "@id": "https://wavect.io/#organization", "@type": [ "Organization", "ProfessionalService", "LocalBusiness" ] } } ], "legalRepresentative": [ { "@id": "https://wavect.io/team/kevin-riedl/#person", "@type": "Person", "jobTitle": "Managing Director", "name": "Kevin Riedl", "url": "https://wavect.io/team/kevin-riedl/", "worksFor": { "@id": "https://wavect.io/#organization", "@type": [ "Organization", "ProfessionalService", "LocalBusiness" ] } }, { "@id": "https://wavect.io/team/christof-jori/#person", "@type": "Person", "jobTitle": "Managing Director", "name": "Christof Jori", "url": "https://wavect.io/team/christof-jori/", "worksFor": { "@id": "https://wavect.io/#organization", "@type": [ "Organization", "ProfessionalService", "LocalBusiness" ] } } ], "name": "Wavect GmbH", "subjectOf": { "@id": "https://wavect.io/verified-claims.json#dataset", "@type": "Dataset", "creator": { "@id": "https://wavect.io/#organization", "@type": [ "Organization", "ProfessionalService", "LocalBusiness" ] }, "description": "A machine-readable registry of quantitative and qualitative claims published by Wavect, with review dates, localized page appearances and public third-party citations where available.", "inLanguage": "en", "isAccessibleForFree": true, "license": "https://creativecommons.org/licenses/by/4.0/", "name": "Wavect verified publication claims", "url": "https://wavect.io/verified-claims.json" }, "url": "https://wavect.io/" }, { "@id": "https://wavect.io/team/kevin-riedl/#person", "@type": "Person", "jobTitle": "Managing Director", "name": "Kevin Riedl", "sameAs": [ "https://www.wikidata.org/wiki/Q139796365", "https://www.linkedin.com/in/wsdt", "https://github.com/wsdt" ], "url": "https://wavect.io/team/kevin-riedl/", "worksFor": { "@id": "https://wavect.io/#organization", "@type": [ "Organization", "ProfessionalService", "LocalBusiness" ] } }, { "@id": "https://wavect.io/team/christof-jori/#person", "@type": "Person", "jobTitle": "Managing Director", "name": "Christof Jori", "sameAs": [ "https://www.wikidata.org/wiki/Q139796367", "https://www.linkedin.com/in/jocr77/", "https://github.com/jo-chris" ], "url": "https://wavect.io/team/christof-jori/", "worksFor": { "@id": "https://wavect.io/#organization", "@type": [ "Organization", "ProfessionalService", "LocalBusiness" ] } }, { "@id": "https://wavect.io/#website", "@type": "WebSite", "inLanguage": [ "en", "de", "es", "zh" ], "name": "Wavect", "potentialAction": { "@type": "SearchAction", "query-input": "required name=search_term_string", "target": { "@type": "EntryPoint", "urlTemplate": "https://wavect.io/search/?q={search_term_string}" } }, "publisher": { "@id": "https://wavect.io/#organization", "@type": [ "Organization", "ProfessionalService", "LocalBusiness" ] }, "url": "https://wavect.io/" } ] } ``` ```json { "@context": "https://schema.org", "@graph": [ { "@id": "https://wavect.io/services/ai-security/#service", "@type": "Service", "areaServed": [ { "@type": "Country", "name": "Austria" }, { "@type": "Place", "name": "Worldwide" } ], "category": "Security & Operations", "dateModified": "2026-10-30", "description": "Assess how your AI app handles private data, tools and actions. 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