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Increasing AI Adoption for BTP Side-by-Side Extensions Without Compromising Security

  • By sujay
  • 19/08/2026
  • 30 Views

Many AI-generated side-by-side extensions are reaching development and testing environments without sufficient security validation. Developers — understandably focused on functionality and delivery — frequently overlook critical security considerations.

AI can generate working code quickly. It does not automatically generate secure code.

As organizations scale AI adoption for SAP BTP extension development, security testing and continuous vulnerability management must become non-negotiable parts of the software lifecycle — not an afterthought checked off before go-live.

The Security Risks of AI-Generated BTP Extensions

AI tools generate code patterns learned from public repositories and training datasets. When those underlying examples contain insecure implementations, those weaknesses travel with the code — straight into your development pipeline.

AI-generated applications can inadvertently introduce:

  • Cross-Site Scripting (XSS)
  • Server-Side Request Forgery (SSRF)
  • SQL Injection (SQLi)
  • Insecure Direct Object References (IDOR)
  • Broken Access Control
  • API Security Vulnerabilities
  • CORS Misconfigurations
  • Cookie and Session Weaknesses
  • WebSocket Security Issues
  • Subdomain Takeover Risks
  • Authentication and Authorization Flaws

For SAP BTP side-by-side extensions that handle customer, employee, supplier, or business-critical data, any one of these vulnerabilities can result in unauthorized data access, compliance violations, and serious business disruption. The stakes are high. The baseline must reflect that.

Shift Security Left: Security by Design

The right response to AI-assisted development is not to slow it down — it is to build security directly into the process from the start.

Organizations should establish a Secure AI Development Framework that treats security as a continuous discipline, not a deployment gate. That framework should include:

  • Secure coding guidelines that reflect the specific risks of AI-generated code
  • Mandatory code reviews that explicitly check for common AI-introduced vulnerabilities
  • Security architecture reviews before components are promoted to production
  • Automated dependency scanning integrated into the build pipeline
  • Continuous vulnerability management across the entire application lifecycle
  • Regular penetration testing of deployed extensions

The principle is straightforward: the earlier a vulnerability is caught, the cheaper and less disruptive it is to fix. Security that waits until go-live is security that will often be skipped.

Continuous Open-Source Dependency Monitoring

Modern SAP BTP applications rely heavily on open-source components. A significant share of application vulnerabilities originate not from internally developed code, but from third-party dependencies — libraries pulled in automatically, updated infrequently, and rarely audited.

Common dependencies in SAP BTP extension stacks include:

Node.js Applications Express.js, Axios, Passport, JWT libraries, SAP Cloud SDK, UI5 tooling packages

Python Applications Requests, FastAPI, Flask, Pandas, LangChain, AI/ML frameworks

Organizations should continuously monitor:

  • NPM packages
  • Python packages (PyPI)
  • Container images
  • Open-source libraries
  • SAP BTP extension dependencies

Automation is essential here. Security teams should integrate tools such as:

ToolsPrimary Use
OWASP Dependency CheckKnown CVE detection
SnykVulnerability and license scanning
TrivyContainer image scanning
GitHub DependabotAutomated dependency updates
SAP Application Security ToolsBTP-specific security validation

Regular scans surface known CVEs, outdated packages, supply chain vulnerabilities, and malicious package injections. Dependency management must become a continuous process — not a one-time activity during initial development.

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Comprehensive Penetration Testing for BTP Extensions

Every side-by-side extension should undergo periodic penetration testing. Here is what a thorough assessment should cover.

1. Cross-Site Scripting (XSS)

Verify that user input is properly validated, output encoding is implemented, Content Security Policies (CSP) are enforced, and UI5 applications prevent DOM-based attacks.

Common finding: AI-generated forms that display user-supplied data without sanitization.


2. Server-Side Request Forgery (SSRF)

Testing should confirm that external URL validation is in place, backend calls are restricted to expected destinations, and the SAP BTP Destination Service is properly protected.

Common finding: Applications that allow users to supply arbitrary URLs, enabling access to internal resources.


3. SQL Injection

CAP frameworks reduce SQL injection risk by design, but custom implementations can reintroduce it. Verify that parameterized queries are used, input is validated, and database access follows the principle of least privilege.


4. Insecure Direct Object References (IDOR)

One of the most common business logic vulnerabilities in BTP extensions. Test whether users can access records, customer data, tickets, orders, or attachments belonging to others simply by modifying identifiers.

Authorization must be enforced on the server side — never assumed from the frontend.


5. API Security Assessment

Modern BTP extensions are API-driven, and APIs are a primary attack surface. Testing should follow the OWASP API Security Top 10 and include:

  • Authentication bypass attempts
  • Authorization flaw testing
  • Rate limiting verification
  • Mass assignment checks
  • Injection vulnerability testing
  • Excessive data exposure review

6. CORS Misconfiguration

Improper CORS settings can expose sensitive APIs to malicious cross-origin requests. Verify allowed origins, credential sharing policies, wildcard configurations, and preflight request handling. Avoid Access-Control-Allow-Origin: * on any authenticated endpoint — full stop.


7. Cookie and Session Security

Review each application for the presence of the Secure flag, HttpOnly flag, and SameSite attribute on cookies. Validate session timeout policies and protections against session fixation. Session management remains one of the most exploited attack vectors in web applications.


8. WebSocket Security

Real-time applications increasingly rely on WebSockets — and many traditional security controls are bypassed once a WebSocket connection is established. Verify authentication mechanisms, authorization checks, message validation, and input sanitization at the WebSocket layer.


9. Subdomain Security

Organizations running multiple BTP applications often accumulate a large number of subdomains. Regularly audit for dangling DNS entries, decommissioned services, and orphaned subdomains that could be taken over. These are frequently missed in standard security assessments.


Identity and Access Management Must Be Verified

In SAP landscapes, identity security deserves special attention — and dedicated testing.

SAP Cloud Identity Services

Validate integrations involving Identity Authentication (IAS), Identity Provisioning Services (IPS), and the Identity Directory. Security testing should confirm proper trust configurations, secure federation, user lifecycle controls, and authentication policy enforcement.

SAML, OIDC, and SCIM Validation

Every authentication flow should be reviewed independently.

SAML: Verify signature validation, assertion integrity, replay protection, and certificate management.

OpenID Connect (OIDC): Validate token expiration, audience restrictions, scope validation, and refresh token handling.

SCIM: Verify user provisioning security, role provisioning, deprovisioning processes, and protection against unauthorized attribute modification.

RBAC with SAP Authorization Services

Role-Based Access Control must be validated beyond functional testing. Organizations using SAP Cloud Identity Services, XSUAA, or AMS/XSUAA authorization concepts should regularly verify:

  • Privilege escalation paths
  • Excessive permissions
  • Missing server-side authorization checks
  • Tenant isolation
  • Role inheritance issues

One of the most persistent findings in BTP extension assessments is the assumption that frontend restrictions provide sufficient access control. They do not. Every authorization check must also be enforced server-side, without exception.


Build Security Visibility Through Application Logging

Security events should be logged proactively — not reconstructed after an incident. Applications should capture:

  • Login attempts (successful and failed)
  • Failed authentications
  • Privilege changes
  • API abuse patterns
  • Administrative actions
  • Security exceptions

Application Logging on SAP BTP should integrate with centralized monitoring platforms to provide real-time visibility into suspicious activity and support effective incident response. Effective logging transforms security from reactive to proactive.


Continuous Application Vulnerability Scanning

Security testing should not stop at deployment. Automated scans should be integrated directly into CI/CD pipelines and run continuously throughout the application lifecycle.

 

Approach What It Catches
SAST (Static Application Security Testing)Insecure coding patterns, injection flaws, authorization weaknesses
DAST (Dynamic Application Security Testing)Runtime vulnerabilities, authentication flaws, configuration issues
SCA (Software Composition Analysis)Vulnerable dependencies, supply chain risks
Container Security ScanningVulnerable base images, misconfigurations, exposed secrets

None of these approaches is sufficient on its own. Used together — and continuously — they provide meaningful coverage across the full application surface.


Closing Thoughts

AI-assisted development is not going away. The productivity gains are real, and organizations that use it effectively will build faster than those that do not. But development velocity and security posture are not inherently in conflict — they only appear that way when security is treated as a late-stage activity rather than a foundational one.

The organizations that get this right will embed security into every phase of the AI-assisted development lifecycle: secure coding guidelines, automated dependency monitoring, rigorous penetration testing, identity validation, continuous scanning, and proactive logging. They will treat security not as a compliance checkbox, but as a core engineering discipline.

For SAP BTP side-by-side extensions handling sensitive business data, the stakes are too high to do otherwise.

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