Back to Blog

DDoS detection in a modern operations stack

Modern infrastructure teams do not operate tools in isolation. Their DDoS detection system needs to talk to their ticketing system, their SIEM, their alerting platform, their cloud scrubbing provider, their internal dashboards, and increasingly their infrastructure-as-code pipeline. Each of these integrations requires an API.

When a DDoS detection tool lacks a proper API, operators build workarounds: log file parsers, email-to-ticket bridges, cron jobs that SSH in and scrape CLI output, webhook receivers that trigger shell scripts. These work until they break, and they break at the worst time: during an incident, when the detection system's output format changes after an update, or when the SSH session that feeds the SIEM fails silently.

What "no API" actually looks like in practice

Scenario 1: Feeding attack data to your SIEM

With an API: your SIEM polls the detection tool's REST endpoint every 30 seconds and ingests structured JSON attack events. Correlation rules fire automatically.

Without an API: you write a log parser that watches a file on the detection server, extracts attack events from text output, reformats them into the SIEM's expected format, and ships them over syslog or a file forwarder. When the detection tool updates and the log format changes, your parser breaks. You find out when the SIEM stops showing DDoS events, which may be days later if you are not watching.

Scenario 2: Triggering cloud scrubbing

With an API: the detection tool calls your scrubbing provider's API directly when an attack exceeds local mitigation capacity. Sub-minute activation.

Without an API: you write a script that watches for attack notifications (email, log file, or webhook from the detection tool), parses the attack details, and calls the scrubbing provider's API. The script has failure modes: email parsing breaks on format changes, the log watcher misses events during high write volume, the webhook delivery fails with no retry.

Scenario 3: Infrastructure as code

With an API and a Terraform provider: your detection thresholds, whitelists, and mitigation rules are version-controlled, code-reviewed, and deployed through your CI/CD pipeline. Configuration drift is impossible because the desired state is declared in code.

Without an API: configuration lives in text files on the detection server. Changes are made by SSH-ing in and editing files. There is no audit trail beyond the shell history, no code review, and no way to roll back a bad change without manual intervention.

The API landscape across DDoS tools

The availability and depth of APIs varies significantly across DDoS detection products:

  • FastNetMon Advanced: Provides fcli, a CLI-based interface, and a gRPC API for programmatic access. The gRPC interface enables structured queries and configuration changes. FastNetMon also supports callback scripts that execute on attack detection and completion. This is more capable than pure CLI scraping but requires gRPC client implementation rather than simple HTTP calls.
  • Andrisoft Wanguard: Provides a web console for management but does not document a public REST API for external integrations. Automation typically requires interacting with the console's web interface or the underlying database, neither of which is a supported integration path.
  • Flowtriq: Provides a REST API covering attack events, node management, threshold configuration, mitigation rules, and alert channels. Also includes a Terraform provider for infrastructure-as-code workflows.
  • Cloud providers (Cloudflare, AWS, Azure, GCP): Comprehensive REST APIs as part of their platform. DDoS events are accessible through the same API patterns as all other cloud resources.

What a useful DDoS detection API should cover

Not all APIs are equal. A DDoS detection API that only exposes read access to attack events is better than nothing but insufficient for real automation. A complete API should cover:

  1. Attack events: List, filter, and retrieve details for current and historical attacks. Include timestamps, vectors, target IPs, volumes, and mitigation actions taken.
  2. Node and agent management: List monitored nodes, check agent health, and manage deployment status programmatically.
  3. Threshold configuration: Read and update detection thresholds per node or per network without SSH access.
  4. Mitigation rules: Create, update, and delete FlowSpec, RTBH, and firewall rules through the API.
  5. Alert channels: Manage webhook destinations, PagerDuty integrations, Slack channels, and other notification targets.
  6. Webhooks (outbound): Push real-time attack notifications to external systems without polling.
  7. Authentication: API key or OAuth-based authentication with scoped permissions for different integrations.

The cost of building workarounds

When an API does not exist, operators build the integration themselves. This has measurable costs:

  • Development time: Building a log parser, webhook bridge, or CLI scraper takes hours to days depending on complexity.
  • Maintenance time: Every detection tool update risks breaking the workaround. Someone needs to verify the integration after each update.
  • Reliability risk: Custom integrations have failure modes that the vendor does not test for. A broken SIEM integration means you lose visibility into DDoS events in your security dashboard.
  • Knowledge concentration: The person who built the integration is the only one who understands it. When they leave, the integration becomes a black box.

For a small team, the time spent building and maintaining API workarounds can easily exceed the cost difference between tools that have APIs and tools that do not.

Full REST API and Terraform provider included

Flowtriq's API covers attacks, nodes, thresholds, mitigations, and alerts. Plus webhooks, Prometheus metrics, and integrations with PagerDuty, OpsGenie, Slack, Discord, and 10+ alert channels.

Start Free Trial →

Frequently asked questions

Why does DDoS detection need an API?
A DDoS detection API enables programmatic access to attack data, threshold configuration, mitigation triggers, and alert management. Without one, integrations with ticketing systems, SIEM platforms, cloud scrubbing providers, and internal dashboards require fragile workarounds like log parsing, CLI scraping, or email bridges.
Which DDoS detection tools have APIs?
Flowtriq provides a full REST API and Terraform provider. FastNetMon Advanced offers fcli (CLI) and a gRPC interface for programmatic access. Cloud providers like Cloudflare, AWS, and Azure have comprehensive APIs. Wanguard provides a web console but does not document a public REST API for external integrations.
Can I automate DDoS response without an API?
Partially. Most detection tools support callback scripts that execute when an attack is detected. This covers basic automation like triggering a BGP announcement or sending a notification. But callback scripts are one-directional and run on the detection server itself. They do not enable external systems to query attack status, modify configuration, or orchestrate multi-step responses.

The bottom line

An API is not a feature for developers. It is the foundation for every integration, automation, and workflow that connects your DDoS detection system to the rest of your operations stack. Without one, you are building fragile bridges between systems that should talk to each other natively. During evaluation, test the API with your actual integration requirements, not just the existence of one on a feature checklist.