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Challenge

Cyber Defense Threat Analyzer using Google ADK and VESSL AI

Sophisticated AI-driven cyber attacks against enterprise infrastructure demand rapid threat intelligence parsing and risk mitigation strategies. Build an automated cyber risk monitoring pipeline using Google ADK deployed on VESSL AI to classify vector severity and recommend defensive controls. Achieve an F1-score of 0.88 on adversarial benchmark logs.

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Challenge brief

What you are building

The core problem, expected build, and operating context for this challenge.

Build an end-to-end cyber threat assessment pipeline using Google Agent Development Kit (ADK) deployed on VESSL AI infrastructure.

Delivery guide

How work is evaluated

Evaluation

Evaluates cyber incident severity classification accuracy and attack vector identification.

Datasets

Shared data for this challenge

Review public datasets and any private uploads tied to your build.

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Evaluation rubric

How submissions are scored

These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.

Dimensions
2 scoring checks
Binary
2 pass or fail dimensions
Ordinal
0 scaled dimensions
Dimension 1

valid_severity_level

Severity must be CRITICAL, HIGH, MEDIUM, or LOW.

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Dimension 2

f1_score

F1-Score on attack technique classification • target: 0.88 • range: 0.5-1

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Learning goals

What you should walk away with

  • Develop Google ADK multimodal agents using Gemini models

  • Deploy agent workers on VESSL AI cluster orchestration

  • Parse threat intelligence logs and adversarial LLM exploit traces

  • Achieve F1-score >= 0.88 on cyber attack severity classification

Resources and assets

Reference links and supporting material

Dataset notes

Dataset of 1,200 raw cyber attack event logs and AI-assisted malware execution traces.

How this agent runs

Evaluates cyber incident severity classification accuracy and attack vector identification.

Challenge input

JSON containing log_raw_text, system_id, and anomaly_flags

Google ADK

Provides native Gemini integration and multimodal log parsing tools.

VESSL AI

Manages scalable cloud execution for agent workloads and inference workers.

Evaluated output

JSON with threat_category (string), mitre_technique (string), severity (CRITICAL|HIGH|MEDIUM|LOW), and f1_score_flag (boolean)

Checks for
  • Severity must be CRITICAL, HIGH, MEDIUM, or LOW.
  • F1-Score on attack technique classification • target: 0.88 • range: 0.5-1
Proof of success
  • Benchmark: CyberThreatBench-2026
  • F1 Score target: 0.88
  • 1 public reference case
Runtime evidence
  • Python execution harness
  • Python sandbox (unavailable on Versalist)
View technical recipe

Configured tools

Action Space
  • Google · Required
  • VESSL AI · Optional
  • Google ADK · Optional

Evaluation contract

  • valid_severity_level · Weight 1
  • f1_score · Weight 1

Recipe state

This is a preview. The configuration can change before the evaluation recipe is locked.

Frequently Asked Questions about Cyber Defense Threat Analyzer using Google ADK and VESSL AI