Protect public web and API portals
Use HTTPS and configure WAF and CC protection by path. Observe normal traffic on the login, Q&A, upload, and management interfaces respectively to verify the compatibility of long text and file submission.
AI APPLICATION SECURITY
Protect your API and control model access
Focusing on the web portal, API calls, computing power usage, and data permissions of AI applications, edge protection and application-side controls are combined to reduce malicious requests, credential abuse, and unauthorized access.
THE CHALLENGE
Start with the workload
An abnormal call may occupy computing resources for a long time; leaked credentials, unconstrained task submission and unauthorized retrieval can also affect costs and data security. Entry protection, business authentication and model tool permissions need to be designed together.
- External AI API services
- Enterprise Knowledge Base and Assistant
- Generative application platform
BUILT AROUND YOUR WORKLOAD
Protect each critical path
Verify identity and permissions on the business side
API Key and model service credentials are stored on the server side, and permissions are restricted by tenant, user, and purpose. Authorization verification is performed every time a session, file, or knowledge base document is read.
Control concurrency, queues and usage
Edge access rules work with application-side account quotas. Applications should limit context, generation length, task concurrency, and queue depth to avoid exhausting resources with a small number of costly requests.
Restrict origin and administration access
Limit access to the origin server based on the confirmed return-to-origin address or authentication mechanism, and protect the backend and inference service ports. Maintain authorized operations channels and verify that health checks are not affected.
Restrict permissions on models and tools
Apply application-level controls to retrieved data, model input and output, and tool calls. Grant tools only necessary permissions and confirm consequential actions. Web request protection does not replace prompt-injection or data-leakage controls.
Let logs support troubleshooting and recovery
Correlate request IDs, accounts, tasks, and error records to reduce sensitive text and credentials in logs. Establish key rotation, abnormal account handling, task suspension and business recovery processes.
- 01User/API caller
- 02HTTPS / WAF / CC · Public network entrance protection
- 03Business authentication and usage control/model service
FROM PLAN TO PRODUCTION
Integration, step by step
- 01
Review entry points and data permissions
List domain names, interfaces, origin servers, model credentials, knowledge base permissions and tool calls, distinguishing public, login and management paths.
- 02
Configure each layer and test legitimate traffic
Configure ingress protection and return-to-source control, and implement authentication, quotas, and permissions on the application side. Verify normal business with real long text, streaming requests and file uploads.
- 03
Exercise failure handling, then roll out gradually
Verify credential invalidation, unauthorized access, task peaks and origin server bypasses, confirm alarms, respond to current limits, cancel tasks and rollback methods, and then gradually increase the volume.
Verify before launch
- Invalid or cross-tenant credentials cannot read private data, sessions, and generate results.
- Concurrency exceedance, long task cancellation and credential rotation will not cause tasks to get out of control or continue to occupy resources.
- origin server bypass is blocked, normal streaming requests and uploads pass, and security rules support rollback.
Monitor after launch
At the same time, track abnormal calls, mistaken interceptions, authentication failures, queue backlogs and account usage, and correlate entry events with application-side task records for troubleshooting.
QUESTIONS & ANSWERS
Frequently asked questions
Can WAF prevent every prompt injection?
No. WAF addresses web request attacks and access protection. Your AI application must also handle prompt injection, unauthorized retrieval, output controls and tool permissions through isolation, validation and constrained access.
With IP-based traffic limiting, do I still need account quotas?
Needed. A shared network may correspond to multiple normal users, and attackers may also use different sources. Applications should combine accounts, keys, tenants, task costs, and concurrency management usage to avoid relying solely on IP frequency.
Have other questions?Contact a technical advisor