Monitor webhook submissions, check WAF coverage with WAFtester, gate deployments, log results, and notify the CI/CD pipeline of pass/fail outcomes.
The AI agent automates pre-deploy checks by receiving deployment webhooks, triggering WAFtester scans, and compiling results. It fingerprints the WAF, runs targeted attack tests across multiple categories, and aggregates pass/fail metrics. It returns a gate decision to the CI/CD pipeline with a clear status and an audit trail for compliance.
Orchestrates WAF validation and deployment gating end-to-end.
Detects WAF presence and fingerprints the vendor.
Launches a WAFscan with the requested attack categories.
Starts an asynchronous scan task to run in the background.
Waits for scan completion and collects results.
Evaluates results against the WAF_PASS_THRESHOLD.
Responds with HTTP 200 (deploy allowed) or HTTP 422 (deploy blocked) and includes details.
The AI agent replaces manual, ad-hoc WAF checks with a deterministic, automated gate that integrates into your pipeline and provides auditable results.
A simple 3-step system flow that non-technical users can understand.
Parses the incoming POST to extract the target URL and attack categories.
Detects the WAF vendor and launches an asynchronous scan with the requested categories.
Fetches results, compares the detection rate against the threshold, and returns a gate decision to the pipeline.
A realistic CI/CD scenario showing task, duration, and outcome.
In a typical pipeline, a deployment to staging triggers a webhook with the target URL and categories. The AI agent fingerprints the WAF, starts an attack scan, and waits for completion. After evaluating the results against the threshold, the agent returns HTTP 200 to allow deployment or HTTP 422 to block it, with detailed bypass notes for auditing.
Roles that gain concrete value from automated WAF gate validation.
Ensures every deployment to staging and production is WAF-validated before proceeding.
Automates deployment approvals across multiple environments with consistent checks.
Leads proactive WAF validation without manual testing drifts.
Gains predictable deployment gates and auditable results for releases.
Integrates WAF validation into pipeline logic, reducing error-prone gates.
Receives documented evidence of WAF validation for audits.
Key tools and how the AI agent uses them within your stack.
Fingerprint the WAF and run category-based attack scans to produce actionable results.
Receives deployment requests and triggers the WAF gate workflow.
Orchestrates scan tasks, monitors progress, and polls for results.
Gates pipelines by returning 200 (pass) or 422 (fail) based on results.
Stores scan data and gate decisions for traces and compliance.
Practical scenarios to apply WAF gate validation across environments.
Common questions and detailed answers about using the AI agent.
If fingerprinting fails, the gate treats the result as inconclusive and returns HTTP 422 to halt deployment. The agent logs the reason and suggests a remediation path, such as verifying network access or WAF availability. You can adjust thresholds to handle partial data, but best practice is to investigate root cause before proceeding. The audit trail will show the fingerprinting failure for traceability.
Yes. The WAF_PASS_THRESHOLD is configurable in the agent settings. You can tune the acceptable detection rate per environment and per category. Changes apply to subsequent gate evaluations and are recorded in the audit logs. This allows aligning gate strictness with risk tolerance and compliance requirements.
The agent leverages WAFtester’ s vendor fingerprints and category libraries to evaluate coverage. It supports a broad set of vendors and categories defined by your WAFtester installation. If a vendor or category is missing, you can extend WAFtester locally and re-run scans. The results still feed into a unified pass/fail decision for the pipeline.
Yes. All scan data is stored in the integrated logging/audit system with time stamps and user identifiers where applicable. Access is controlled by your CI/CD and platform security policies. The audit trail includes the target URL, categories tested, results, and gate decision. This supports compliance reviews and incident investigations.
Bypass options are configurable but generally discouraged. If you enable an emergency bypass, the agent records the bypass event and requires additional approvals or alternatives. The system still logs all actions and maintains an audit trail. This ensures traceability even when gate behavior is overridden due to urgent needs.
Thresholds and categories are defined in the agent configuration and the WAFtester integration. You specify which attack categories to test and the pass threshold per environment. Changes take effect on subsequent pipeline runs, and all changes are versioned in the audit logs. Documentation and examples are available within the WAF tester setup in your environment.
Runtime varies with target complexity and category coverage, but typical gates complete within a few minutes. The agent performs fingerprinting, asynchronous scans, and result evaluation in sequence, with clear progress indicators in the logs. If a scan stalls, the system times out and returns a structured failure with remediation guidance. This keeps pipelines moving while ensuring visibility into delays.
Monitor webhook submissions, check WAF coverage with WAFtester, gate deployments, log results, and notify the CI/CD pipeline of pass/fail outcomes.
