SmartCodeIT service
Security and AI safety
We help reduce technical risk in web applications, API, admin panels, automations, chatbots, RAG and AI agents.
We verify login, roles, permissions, API, forms, date, secrets, webhooks, logs, backups, production configuration, and how AI solutions operate. We implement recommendations, hardening and guardrails where the risk is highest.
Application security reviewAPI, webhooks and integrationsRoles, permissions and 2FASecrets and production configurationLogs, monitoring and backupsAI safety, RAG and guardrailsPre-deployment hardeningAction plan and risk priorities
SmartCodeIT Security ReviewHover over or select a diagram element
Risk surfaces
Security & AI Safety Layer
Controls
riskcontroltestlogalertfix
Risk surfacesweb application
Data source or triggering event. web application can trigger the process or supply Security & AI Safety Layer with data that subsequently feeds statuses, automation and reporting.
From login and API to the AI agent: technical review, risk priorities and implementation of controls where they make the most sense.
Quick answer
Security and AI safety: when does it make sense and where should you start?
At SmartCodeIT, this means designing a practical operating system around the company's process: data, statuses, integrations, automation, reporting and exception control. We define scope after reviewing the process, tools, data quality, risks and the expected outcome of the first stage.
Important: automation supports the process and team decisions, but it does not replace strategy, data quality, business accountability or human control in high-risk matters.
Quick selection
Not sure where to start?
Choose the closest business problem. This helps identify an audit, MVP or broader implementation.
I have an application with login and roles
We verify access, sessions, 2FA, permissions, forms, logs and user data.
I have an API, webhooks or integrations
We analyze tokens, authorization, limits, validation, idempotency, logs and error handling.
I am implementing a chatbot, RAG or AI agent
We design sources, guardrails, scope of actions, conversation logging, quality tests and escalation to a human.
Service overview
Application and AI security is risk control, not a one-time scan
A security review helps verify where an application, API, admin panel, automation or AI agent may create risk: excessive access, incorrect validation, overly broad permissions, lack of logs, no backup, or uncontrolled AI behavior.
We do not promise full resilience or a formal certificate unless such scope is separately agreed. We work pragmatically: we identify risks, set priorities, implement hardening and describe procedures that help the team respond to issues.
For AI, we review more than just the prompt. Knowledge sources, RAG, tool limits, data access, logs, human-in-the-loop, fallback, escalation, and which decisions must not be automated are all important.
- login and sessions
- roles and permissions
- APIs and webhooks
- form validation
- secrets and configuration
- logs and monitoring
- backup and restore
- AI guardrails
- RAG and knowledge sources
- incident procedures
When it makes sense
When is it worth reviewing the security of an application or AI?
A security review makes the most sense when a system has users, date, login, an admin panel, integrations, automatic actions or AI that responds to clients or employees.
The application has login and roles
Users, employees or administrators have different levels of access to data and functions.
The API processes company data
Data flows through endpoints, webhooks, tokens, integrations and automatic actions.
The admin panel holds important data
Administrators can change users, orders, documents, prices, statuses or configuration.
A chatbot or AI agent uses company knowledge
AI uses documents, FAQs, CRM, the website, files or a knowledge base and responds to users.
The system is pre-production
It is worth checking configuration, headers, secrets, backup, logs and access before real users appear.
The application processes documents
The system contains personal data, files, invoices, contracts, tickets, photos or case history.
Integrations run automatically
An incorrect action may create a record, send an email, change a status or generate a document.
There are no logs, backups or procedures
After an error, it is hard to determine what happened, who should respond, and whether data can be restored.
The application was developed quickly
An MVP, prototype or system after many changes may have technical debt in access, data and configuration.
Who it is for
Who do we design application and AI security for?
Companies with a web application
For panels, portals, CRM, order systems, B2B applications and tools with login.
- login
- roles
- sessions
- forms
- admin panel
Companies with API and integrations
For organizations that connect CRM, ERP, e-commerce, accounting, BI, AI, webhooks and automations.
- API auth
- tokens
- limits
- webhooks
- logs
Companies implementing AI
For chatbots, RAG, AI agents, sales assistants, OCR and automated replies.
- RAG
- guardrails
- sources
- testing
- handoff
Companies with a chatbot on the website
For bots that qualify leads, answer questions, collect data or hand over cases to the team.
- scope
- fallback
- date
- escalation
- logs
Companies with customer data
For systems that store personal data, documents, contact history, invoices, orders or tickets.
- access
- retention
- export
- backup
- audit
Companies before go-live
For projects that are about to go to production and need a technical check before launch.
- config
- env
- CSP
- backup
- monitoring
Companies after a fast MVP
For applications that have grown faster than the security process, documentation and tests.
- technical debt
- permissions
- logs
- testing
- plan
Companies after an error or incident
For teams that want to verify the root cause, implement fixes and reduce similar situations.
- analysis
- logs
- hotfix
- procedure
- report
Companies without a security department
For teams that develop the system but need an external review and priorities.
- review
- roadmap
- checklist
- priorities
- maintenance
Companies building automations
For processes that automatically create documents, messages, statuses, leads, tasks or CRM entries.
- automated actions
- validation
- rollback
- alert
- owner
Applications
What do we check in applications, API and AI?
We select the scope after analysis. We can review a single area, such as API or an AI agent, or run a broader application review with hardening and a maintenance plan.
Login and authentication
We verify sessions, passwords, password reset, 2FA, tokens, session lifetime and panel protection.
loginsession2FAresettest
Better control of access to the system.Roles and permissions
We analyze who has access to data, modules, exports, panels and administrative actions.
rolesresourcesactionspermission testrecommendations
Less excessive access and clearer accountability.API security
We verify endpoint authorization, data validation, rate limiting, response filtering and logs.
requestauthauthorizationvalidationlogging
Better control of data flowing through the API.Admin panel
We verify admin access, critical actions, change history, 2FA and risky exports.
adminrolesactionlogalert
Lower risk of accidental or unauthorized changes.Forms and validation
We review fields, file uploads, limits, error messages, spam and risky inputs.
formvalidationlimitsavelog
Fewer incorrect data points and lower risk at entry points.Data and technical privacy
We analyze where data is stored, who has access, how exports work, and how retention and backups are handled.
dateaccessretentionexportbackup
Better technical control over data.Secrets and environment variables
We check API keys, tokens, webhook secrets, repository, env, rotation, and team access.
secretlocationaccessrotationdocumentation
Lower risk of key and configuration leaks.Dependencies and libraries
We verify dependencies, versions, vulnerabilities, updates, and the impact of changes on the application.
dependencyauditpriorityupdatetest
Better control over risks coming from packages.Environment configuration
We check the production env, headers, cookies, CSP, CORS, cache, preview, and differences between dev/stage/prod.
envheaderscookiesCORSdeploy
More stable and secure production configuration.Backups and restore
We verify whether a backup exists, who has access, how long it is stored, and whether restore has been tested.
backupretentionrestoretestrunbook
Better readiness for failure or data errors.Logs and monitoring
We check error logs, administrative actions, alerts, response owner, and event reporting.
logalertownerresponsereport
Faster issue detection and clearer accountability.Integrations and webhooks
We analyze webhook signatures, payload validation, retry, idempotency, limits, and error handling.
webhooksecretpayloadretryalert
Fewer risky automated actions between systems.AI Chatbots
We check response scope, knowledge base, fallback, handoff, conversation logs, and data collected in the chat.
questionsourceresponsefallbackhandoff
The bot behaves more predictably and hands over cases more safely.RAG and knowledge base
We verify indexing, document permissions, retrieval quality, citation, and source updates.
documentindexretrievalcitationupdate
AI more often bases answers on controlled sources.AI agents and tools
We check which tools the agent can access, which actions it can perform, and where human approval is required.
intenttool accesspolicyhuman approvallog
Lower risk of uncontrolled AI actions.Procedures and documentation
We organize risk owners, checklists, runbooks, correction procedures, and the maintenance plan.
riskownerprocedurechecklistmaintenance
The team knows how to respond after go-live.Interactive selection
Explore an implementation scenario
Select a card to review the workflow, participating systems, input data, risks and recommended package.
Scenario
Better control of access to the system.
loginsession2FAresettest
Options
Security review, technical audit, hardening or pentest?
Not every project needs a formal pentest right away. Sometimes the priority is a practical security review, permission improvements, API hardening, or an AI check before deployment.
Technical security review
A practical review of the application, roles, forms, configuration, logs, and the most important risks.
API audit
Checking authorization, validation, rate limits, webhooks, tokens, logs, and endpoint responses.
AI Security Review
Review of RAG, sources, prompts, agent tools, guardrails, logs, fallback, and handoff.
Application hardening
Implementation of the most important fixes: 2FA, headers, roles, secrets, limits, logs, backup, and configuration.
Roadmap for pentest
Preparing a list of risks, priorities, and controls before a formal penetration test or external audit.
| Option | Start time | Starting cost | Flexibility | Maintenance | When to choose |
|---|---|---|---|---|---|
| Technical security review | fast | lower | medium | low / medium | A practical review of the application, roles, forms, configuration, logs, and the most important risks. |
| API audit | fast | lower | medium | low / medium | Checking authorization, validation, rate limits, webhooks, tokens, logs, and endpoint responses. |
| AI Security Review | medium | medium | high | planned | Review of RAG, sources, prompts, agent tools, guardrails, logs, fallback, and handoff. |
| Application hardening | medium | medium | high | planned | Implementation of the most important fixes: 2FA, headers, roles, secrets, limits, logs, backup, and configuration. |
| Roadmap for pentest | longer | higher | high | planned | Preparing a list of risks, priorities, and controls before a formal penetration test or external audit. |
Architecture
Security as a layer of the application, API, AI, and operations
We design security as a control system: from the user and form, through API and data, to AI, logs, backups, monitoring, and incident response procedures.
- risk surfaces
- access model
- roles and permissions
- data validation
- APIs and webhooks
- secrets
- AI and RAG
- logs
- backup
- monitoring
- alerts
- procedures
Most common areas and tools in a security review
Risk surfaces
formsadmin panelAPIchatbotwebhooksfiles
Access control
loginsessions2FArolespermissionsaudit trail
Data and integrations
validationsecretstokensrate limitbackupexports
AI and automations
RAGguardrailstool accesshandoffhuman approvalfallback
Monitoring and response
logsalertsownerrunbookrestorerisk report
Control
Application Security Checklist
We verify the foundations of a web application: access, date, configuration, and operational safeguards. The outcome is a list of risks, priorities, and technical recommendations.
login and sessions2FA for administratorsroles and permissionsrecord-level access controlform validationsecure cookiesCSP and security headersCORSsecrets outside the repositoryaction limitsadministrative logsbackup and restoreerror monitoringincident procedure
Quality control
API Security Flow
APIs and webhooks require separate controls, because incorrect authorization, missing validation, or missing limits can transfer risk across several systems at once.
requestauthenticationauthorizationobject accessfield accesspayload validationrate limitidempotencyresponse filteringwebhook signatureloggingerror alert
AI safety
AI in a company requires constraints, logs, and a clear scope of operation
We check whether AI responds from appropriate sources, does not perform overly risky actions, and escalates high‑risk cases to a human.
AI scope of operationsystem promptprompt injectionknowledge sourcesguardrailstool accesshuman-in-the-loopfallbacklogsquality testing
RAG and knowledge base
RAG must respect sources, permissions, and knowledge boundaries
AI with a knowledge base should use approved documents, be able to indicate sources, and not disclose data outside the user’s permissions.
approved documentsindexingpermissionsretrievalsource citationdata separationknowledge updatesquery logscorrection procedure
Automations and webhooks
Automated actions require validation, authorization, and logs
If the system automatically creates documents, tasks, CRM records, or messages, you need to design payload controls, retry, idempotency, and alerts.
webhook secretspayload validationretryidempotencylimitsrollbackerror alertsaction logprocess owner
Logs and incident readiness
Logs, backups, and procedures determine how you respond after an error.
Without logs and a tested backup restore, it is difficult to respond after an incident. We check whether the team knows what to do and who is responsible for the reaction.
login eventsadmin actionserror trackingalert ownerdatabase backupretentiontest restorerunbookincident report
Security-by-design
New features are worth designing with access control from day one
For larger changes, we help define risks already at the design stage: roles, date, critical actions, permission tests, and maintenance requirements.
threat modelingrole modelsensitive datacritical actionsleast privilege accesspermissions testingaudit trailmaintenance plan
Packages and pricing
Application and AI Security Packages
Prices are net amounts. The final quote depends on application size, number of roles, APIs, integrations, date, environments, automation, AI, logs, backups, testing requirements, and the scope of implementing recommendations.
Security consultation
from $155 netFor companies that want to discuss risks in applications, APIs, AI, or prepare the scope of an audit.
- technical discussion
- initial diagnosis
- risk priorities
- next-step recommendation
- post-meeting notes
Security Quick Review
from $500 netFor small applications, landing pages, forms, integrations, or chatbots that require a quick review.
- security checklist
- headlines
- forms
- configuration
- risk list
- fix priorities
Web Application Audit
from $1,289 netFor applications with login, roles, an admin panel, or user data.
- login
- roles
- permissions
- forms
- admin panel
- secrets
- logs
- risk report
- 30 days of support
API and webhook audit
from $1,553 netFor systems with integrations, webhooks, tokens, data synchronization, and automated actions.
- API authorization
- payload validation
- rate limit
- webhook signatures
- idempotency
- logs
- endpoint tests
AI Security Review
from $1,816 netFor chatbots, AI agents, assistants, RAG tools, and automated responses.
- system prompt
- response scope
- guardrails
- knowledge sources
- logs
- fallback
- handoff
- quality testing
RAG and knowledge base review
from $2,079 netFor companies that connect AI with documents, FAQs, the website, CRM, files, or an internal knowledge base.
- sources
- indexing
- retrieval
- citations
- permissions
- knowledge updates
- correction procedure
Security before launch
from $2,605 netFor applications and AI before production deployment.
- pre-production review
- env
- headers
- secrets
- backup
- monitoring
- role tests
- list of blocking risks
Application hardening
from $3,395 netFor companies that want not only a report but also implementation of agreed fixes.
- 2FA
- roles
- headlines
- validation
- CORS
- secrets
- limits
- logs
- backup
AI guardrails implementation
from $3,921 netFor companies that want to implement control over AI responses, sources, tools, and escalation.
- response policies
- sources
- tool limits
- human approval
- handoff
- logs
- regression tests
- quality dashboard
Security roadmap / ASVS
from $2,605 netFor teams that want to organize security requirements into stages, e.g., before major system development.
- risk map
- priorities
- OWASP ASVS
- test plan
- security backlog
- requirements for the team
Ongoing security support
from $500 net per monthFor live applications, APIs, and AI that require periodic reviews, monitoring, and security improvements.
- change monitoring
- fix review
- alert analysis
- log control
- dependency updates
- monthly report
- recommendations
Net prices. Costs of external security tools, monitoring, scanners, hosting, accounts, licenses, formal pentests, legal consultations, and external audits may be billed separately.
| Package | Starting price | Time | Scope | Integrations | Support | Who it is for |
|---|---|---|---|---|---|---|
| Security consultation | from $155 | 60–90 minutes | technical conversation, initial diagnosis, risk priorities | optional | depending on scope | For companies that want to discuss risks in applications, APIs, AI, or prepare the scope of an audit. |
| Security Quick Review | from $500 | 2–4 business days | security checklist, headers, forms | optional | depending on scope | For small applications, landing pages, forms, integrations, or chatbots that require a quick review. |
| Web Application Audit | from $1,289 | 5–10 business days | login, roles, permissions | optional | 30 days of support | For applications with login, roles, an admin panel, or user data. |
| API and webhook audit | from $1,553 | 5–10 business days | API authorization, payload validation, rate limit | yes / optional | depending on scope | For systems with integrations, webhooks, tokens, data synchronization, and automated actions. |
| AI Security Review | from $1,816 | 5–12 business days | system prompt, response scope, guardrails | yes / optional | depending on scope | For chatbots, AI agents, assistants, RAG tools, and automated responses. |
| RAG and knowledge base review | from $2,079 | 1-2 weeks | sources, indexing, retrieval | optional | depending on scope | For companies that connect AI with documents, FAQs, the website, CRM, files, or an internal knowledge base. |
| Security before launch | from $2,605 | 1-3 weeks | pre-production review, env, headers | optional | depending on scope | For applications and AI before production deployment. |
| Application hardening | from $3,395 | 2–5 weeks | 2FA, roles, headers | optional | depending on scope | For companies that want not only a report but also implementation of agreed fixes. |
| AI guardrails implementation | from $3,921 | 2-6 weeks | response policies, sources, tool limits | yes / optional | depending on scope | For companies that want to implement control over AI responses, sources, tools, and escalation. |
| Security roadmap / ASVS | from $2,605 | 1-3 weeks | risk map, priorities, OWASP ASVS | optional | depending on scope | For teams that want to organize security requirements into stages, e.g., before major system development. |
| Ongoing security support | from $500 per month | ongoing | change monitoring, fix review, alert analysis | optional | depending on scope | For live applications, APIs, and AI that require periodic reviews, monitoring, and security improvements. |
Budget
Complexity and cost chart
The chart is indicative. Final pricing depends on the process, date, integrations, automation, technical requirements and maintenance scope.
Security consultation1
Security Quick Review2
Web Application Audit3
API and webhook audit4
AI Security Review5
RAG and knowledge base review6
Security before launch7
Application hardening8
AI guardrails implementation9
Estimation
What does the implementation cost depend on?
Scope advisor
What type of security review does your system need?
Choose indicative answers. The result is a starting point for discussion, not an automated quotation.
Initial recommendationSecurity consultation
Send your answers and receive a recommendationProcess
What does implementation look like?
1
Consultation and risk scope
We define what to review: application, API, admin panel, AI, RAG, webhooks, logs, backups, or production configuration.
2
Access and test environment
We agree on a secure way of working, access scope, test data, constraints, and points of contact.
3
Risk surface map
We list users, roles, date, endpoints, integrations, automated actions, and entry points.
4
Technical review
We verify configuration, forms, APIs, permissions, secrets, logs, backups, AI, and procedures.
5
Priorities and recommendations
We group findings into critical, high, medium, and low risks, and indicate the order of actions.
6
Hardening or guardrails
We implement agreed fixes: roles, 2FA, limits, validation, logs, backup, AI guardrails, or handoff.
7
Retest and control
We check whether the most important fixes work and whether regressions appeared in the process.
8
Documentation and runbook
We provide a report, checklist, procedures, incident owners, and recommendations for further maintenance.
9
Monitoring and development
After implementation, you can add periodic reviews, alerts, a risk dashboard, and staged security improvements.
Project outcome
What do you receive after implementation?
a risk surface mapa list of roles and critical permissionsa technical report with prioritiesa list of recommended fixesa checklist for the application, API, or AIimplemented fixes, if included in the packageretest of agreed risksrecommendations for monitoring and logsbackup and recovery planerror response procedurechange documentationrecommendations for further development
Outcomes
What can a company gain after a security review and hardening?
The company can better understand risks, reduce excessive access, organize APIs, improve production configuration, and develop AI solutions more safely.
number of critical risks
A metric to observe after implementation.
number of high risks
A metric to observe after implementation.
risks after retests
A metric to observe after implementation.
roles to correct
A metric to observe after implementation.
- risk list with priorities
- fewer excessive permissions
- better control of APIs and webhooks
- more predictable chatbot or AI agent
- better logs and a defined response owner
- verified backup plan
- safer production launch
- backlog of further security actions
Before: unknownAfter: priorities and owner
Before: broadAfter: aligned to the process
Before: no consistent controlAfter: auth, validation, limits, logs
Before: free-form chatAfter: sources, guardrails, and handoff
Before: not verifiedAfter: procedure and restore test
The results are illustrative. The actual effect depends on the quality of the process, date, traffic, team, and implementation scope.
Monitoring
Security should be measured and maintained
After the audit, it is worth tracking the number of risks, fix status, API errors, login attempts, alerts, backups, AI escalations, and team response time.
- number of critical risks
- number of high risks
- risks after retests
- roles to correct
- endpoints without full control
- API errors
- login attempts
- security alerts
- backup status
- recovery time
- AI responses to escalate
- number of automated actions requiring approval
DashboardSecurity Control Dashboard
total
urgent
plan
to be corrected
endpoints
pending signature
testing
restore
30 days
closed
Scenarios
Example implementation scenarios
B2B application with admin panel
Problem: broad roles and no 2FA. Solution: permission map, 2FA, action logs, and access tests.
Better access control and activity history.API for CRM integrations
Problem: unsigned webhooks and no validation. Solution: secrets, validation, idempotency, and error alerts.
Lower risk of incorrect automated actions.AI chatbot on the website
Problem: the bot responded outside the intended scope. Solution: guardrails, knowledge base, fallback, and handoff.
More predictable handling of conversations.RAG with company documents
Problem: documents did not have an approval status. Solution: source catalog, change procedure, and citation rules.
AI uses more controlled sources.System before production
Problem: no backup test, logs, or full configuration. Solution: security before launch and release checklist.
Safer go-live and fewer operational risks.Document automation
Problem: the system generated documents without an error queue. Solution: action log, validation, verification status, and alert.
Better control of exceptions and human decisions.Decision
Is it worth doing a security review now?
A security review makes sense when the system has real users, date, login, APIs, automations, or AI. If the project is still very early, you can start with an architecture checklist and security requirements for the MVP.
Indications for a security review
- the system has login and roles
- the admin panel handles important data
- the API is used by other systems
- AI responds to customers or employees
- automation performs actions in CRM, documents, or e-mail
- the system is before production deployment
- logs, backup, or response procedure are missing
- access, date, or integration errors appear
First clarify the scope when
- it is still unclear what the system is supposed to do
- there is no technical or business owner
- there is no test environment or test data
- the application is only a static page without data and login
- the scope of a formal pentest has not yet been defined
- the process, roles, and data need to be described first
Ecosystem
Most common areas, standards, and tools
OWASPOWASP ASVSOWASP API SecurityCSPCORS2FASSOrate limitwebhook signaturesaudit logdependency auditbackup restoremonitoringRAGAI guardrailshuman-in-the-loopprompt injection testsVercelGitHub ActionsPostgreSQL
SmartCodeIT Security Layer
applicationAPIadminauthrolesdatewebhooksAIRAGlogsbackupmonitoringalertsproceduresTechnology
We adjust the security scope to risk, scale, and technology
A small application with a form needs a different approach than an API with integrations, and a different one again than an AI agent with access to company tools and knowledge.
| Option | Best for | Complexity | Cost | Flexibility | When to choose |
|---|---|---|---|---|---|
| Security Quick Review | small applications and forms | low | lower | medium | when you need a quick risk list |
| Web Application Audit | applications with login | medium | medium | high | when there are roles, date, and an admin panel |
| API audit | integrations and webhooks | medium/high | medium | high | when data flows between systems |
| AI Security Review | chatbots, RAG, and AI agents | medium/high | medium/higher | high | when AI operates with company knowledge |
| Hardening | implementation of fixes | high | higher | high | when the report is meant to become real safeguards |
| Ongoing security support | working systems | ongoing | monthly | high | when the application requires periodic control |
Why SmartCodeIT
Security implemented as a process, not by accident
We combine the perspectives of application, API, AI, and operations. We do not add random safeguards; we start from risk, date, roles, automated actions, and the real way the system works.
- we start from the risk surface
- we organize roles and permissions
- we verify APIs and webhooks
- we design guardrails for AI
- we include logs, backup, and monitoring
- we turn recommendations into an action backlog
- we can implement hardening and retesting
Risk
First, we define what can realistically harm the system, date, or process.
Access
We verify roles, permissions, sessions, and 2FA in the context of users and data.
API
We treat endpoints, webhooks, and tokens as a separate risk surface.
AI
AI requires sources, constraints, logs, tests, and human oversight for high‑risk matters.
Operations
Backup, logs, monitoring, and procedures determine the response after an error.
Development
Security controls can be developed in stages together with the application and team.
Related paths
What is usually connected with this service?
FAQ
Frequently asked questions
How much does an application security review cost?
Security consulting starts from $155 net, Security Quick Review from $500 net, web application audit from $1,289 net, API audit from $1,553 net, and AI Security Review from $1,816 net. Hardening with implementation of fixes usually starts from $3,395 net.
Is this a formal pentest?
Not always. By default, we perform a technical security review, practical audit, hardening, and recommendations. A formal penetration test with a defined methodology, scope, and compliance report may be a separate scope or require cooperation with a specialized pentester.
Does the audit guarantee full security?
No. No audit guarantees full security. The review helps identify risks, set priorities, and implement controls that reduce technical risk. Security requires ongoing maintenance, monitoring, and updates.
Do you review applications with login and roles?
Yes. We review login, sessions, password reset, 2FA, roles, permissions, record‑level access, the admin panel, data exports, and user activity logs.
Do you review APIs and webhooks?
Yes. We can review endpoint authorization, payload validation, rate limiting, idempotency, webhook signatures, error handling, logs, and API response filtering.
Do you help secure an AI agent?
Yes. We review the system prompt, knowledge sources, RAG, guardrails, tool access, logs, quality tests, fallback, and handover of high‑risk cases to a human.
Do you review AI chatbots on a website?
Yes. We analyze which questions the bot may answer automatically, when it should escalate the conversation, what data it collects, how it uses the knowledge base, and whether it avoids answering outside scope.
Can you review RAG and the knowledge base?
Yes. We review document sources, the knowledge approval process, indexing, retrieval, source citation, data separation, document updates, and the procedure for correcting wrong answers.
Do you implement fixes after the audit?
Yes, if the scope is technically feasible and agreed separately. We can implement application hardening, fixes for roles, headers, validation, logs, backups, APIs, or AI guardrails.
Can you help before a production go‑live?
Yes. The Security before launch package includes a review of production configuration, environments, secrets, backup, monitoring, headers, roles, logs, and go‑live‑blocking risks.
Do you review GDPR compliance?
We can support technically with access control, date, logs, retention, exports, and system security. We do not replace a law firm or data protection officer for legal interpretation.
Can you add 2FA?
Yes, if the current login model and application technology allow it. First, we review roles, administrators, the access recovery process, and the impact on users.
Do you provide support after an incident or error?
Yes. We can help analyze logs, the scope of the issue, the error path, prepare a hotfix, recommendations, and a procedure that helps reduce the risk of similar situations in the future.
What should be prepared before a security review?
Ideally, prepare a system description, links to environments, a list of roles, API description, integrations, information about data, documentation, repository or code access, a list of concerns, and a contact for a technical person.
Can we have ongoing security support after the audit?
Yes. We can provide periodic review of changes, alert analysis, dependency control, recommendations for fixes, log review, AI guardrails development, and a monthly risk report.
Contact
Describe the application, API, or AI agent to be reviewed
Based on a few sentences, we will prepare a recommendation: consulting, quick review, application audit, API audit, AI Security Review, RAG review, hardening, security before launch, or ongoing security support.
kontakt@smartcodeit.pl · 882 121 238 · Gliwice / online
An application and AI security review helps reduce technical risk but does not guarantee full resilience, absence of errors, or legal compliance. A formal pentest, compliance audit, legal interpretations, and certifications require a separately defined scope and the right specialists. High‑risk decisions, sensitive data, and automatic actions should have human oversight.
Contact
Describe the process you want to improve.
A few concrete sentences are enough for us to suggest an audit, automation, an AI agent, a web application or a systems integration.
A reply with a recommended next stepThe option to begin with an audit or a focused MVPA solution designed for security and maintainability
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