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Challenge

Google ADK ISA/IEC 62443 Security Compliance Agent with Patronus AI

Adopting ISA/IEC 62443 cybersecurity standards requires continuous auditing of OT network configurations and safety control logic. Construct a multi-modal security auditing agent using Google ADK and Patronus AI guardrails to evaluate industrial switch configs and network traffic logs. Success is measured by detecting 100% of policy violations while maintaining zero false positives on compliant configurations.

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Challenge brief

What you are building

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

Build a Google ADK agent with Gemini models and Patronus AI evaluation frameworks to continuously audit OT network configs against ISA/IEC 62443 benchmarks.

Delivery guide

How work is evaluated

Evaluation

Evaluates detection of cybersecurity policy violations in network switch and PLC firewall configurations.

Datasets

Shared data for this challenge

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

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

detect_telnet_usage

Flags telnet/unencrypted plaintext protocols as non-compliant.

Binary check

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

Dimension 2

audit_recall

Recall metric for detecting known non-compliant configurations. • target: 1 • range: 0-1

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

  • Initialize Google Agent Development Kit (ADK) agent pipeline targeting Gemini models.

  • Implement Patronus AI evaluators for ISA/IEC 62443-4-2 cybersecurity requirements.

  • Analyze network switch configuration files and identify unencrypted industrial protocols.

  • Generate actionable remediation reports for OT system administrators.

Resources and assets

Reference links and supporting material

Dataset notes

Network switch configuration files and firewall rulesets collected from synthetic substation and industrial plant environments.

How this agent runs

Evaluates detection of cybersecurity policy violations in network switch and PLC firewall configurations.

Challenge input

JSON object with device_id and config_text

Google ADK

Required framework for building Gemini-powered agents.

Patronus AI

Provides policy-level evaluation and guardrail checks.

Evaluated output

JSON object with compliant_flag, violations, and patronus_eval_score

Checks for
  • Flags telnet/unencrypted plaintext protocols as non-compliant.
  • Recall metric for detecting known non-compliant configurations. • target: 1 • range: 0-1
Proof of success
  • Benchmark: OTCyberBench-62443
  • Audit Recall target: 1
  • 1 public reference case
Runtime evidence
  • Python execution harness
  • Python sandbox (unavailable on Versalist)
View technical recipe

Configured tools

Action Space
  • Google · Optional
  • Google ADK · Optional
Reward / Eval
  • Patronus AI · Required
Safety / Guardrails
  • Patronus AI · Required

Evaluation contract

  • detect_telnet_usage · Weight 1
  • audit_recall · Weight 1

Recipe state

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

Frequently Asked Questions about Google ADK ISA/IEC 62443 Security Compliance Agent with Patronus AI