Data Center Compliance and Security Agent using Google ADK and o3
India's Data Centre Security Bill mandates strict continuous compliance and automated audit logging across cloud workloads. Build an agent using Google ADK integrated with o3 reasoning models to parse security logs and enforce regulatory policies, achieving 95% breach indicator detection accuracy in test simulations.
What you are building
The core problem, expected build, and operating context for this challenge.
Build an automated cloud infrastructure audit agent using Google Agent Development Kit (ADK) paired with OpenAI o3 model reasoning for complex compliance detection.
How work is evaluated
Evaluates log audit reasoning, severity scoring, and compliance violation detection accuracy.
Shared data for this challenge
Review public datasets and any private uploads tied to your build.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
critical_threat_detection
Verifies that high-severity database dump anomalies are successfully flagged.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
detection_accuracy
Accuracy of security anomaly classification. • target: 0.95 • range: 0-1
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Build modular agents using Google Agent Development Kit (ADK)
Incorporate o3 reasoning model capabilities for complex policy deduction
Analyze cloud infrastructure syslog streams and access logs for security anomalies
Generate automated compliance failure reports aligned with national data centre standards
Reference links and supporting material
Synthetic dataset of 1,000 data center audit logs including simulated breach scenarios.
How this agent runs
Evaluates log audit reasoning, severity scoring, and compliance violation detection accuracy.
Challenge input
JSON array of cloud audit syslog events.
Google ADK
Provides modular agent component abstractions.
o3
Delivers complex logical reasoning across unstructured policy logs.
Evaluated output
JSON containing non_compliant_events count, critical_findings array, and overall_compliance_status.
- Verifies that high-severity database dump anomalies are successfully flagged.
- Accuracy of security anomaly classification. • target: 0.95 • range: 0-1
- Benchmark: Cloud Security Policy Reasoning Benchmark
- Detection Accuracy target: 0.95
- 1 public reference case
- Python execution harness
- Python sandbox (unavailable on Versalist)
View technical recipe
Configured tools
- Google ADK · Required
- Voiceflow · Optional
- o3 · Optional
Evaluation contract
- critical_threat_detection · Weight 1
- detection_accuracy · Weight 1
Recipe state
This is a preview. The configuration can change before the evaluation recipe is locked.