implementation

Incident Workflow Design

Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.

Linked challenge: Autonomous Cyber-Incident Response Swarm with Mastra AI and Qwen3

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Linked challenge

Autonomous Cyber-Incident Response Swarm with Mastra AI and Qwen3

Prompt source

Original prompt text with formatting preserved for inspection.

1 lines

1 sections

No variables

0 checklist items

Using Mastra AI workflows, design a directed acyclic graph where the SecurityAnalyst identifies a breach, a PriorityAgent calculates risk, and a LindyNotification tool sends an alert to a mock Slack channel.

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Hold the task contract and output shape stable so generated implementations remain comparable.

Tune next

Update libraries, interfaces, and environment assumptions to match the stack you actually run.

Verify after

Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.

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Purpose

implementation

This prompt is mostly narrative and instruction-driven, so adapt examples and output constraints before you rewrite the structure.

Linked challenge

Autonomous Cyber-Incident Response Swarm with Mastra AI and Qwen3

Inspired by the recent 350GB data breach at the European Commission, this challenge requires building an autonomous security orchestration team. You will use Mastra AI to coordinate multiple specialized agents that analyze simulated breach telemetry, prioritize vulnerabilities, and automate the notification pipeline. The system must use Agent Protocol to ensure interoperability between the analysis agents and the response triggers. You will leverage Qwen3-235B-A22B for complex log interpretation and Lindy to automate cross-platform stakeholder communications. The goal is to move from reactive log checking to an autonomous agentic loop that identifies and triages data exfiltration events in real-time.

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