CrewAI ISA/IEC 62443 Security Compliance Verification with Lakera
Industrial power utilities struggle to continuously audit OT infrastructure against ISA/IEC 62443 cybersecurity standards. Develop a multi-agent auditing workflow using CrewAI and Lakera to inspect zone boundaries and prevent prompt-driven parameter tampering. The pipeline must detect 100% of non-compliant network conduits and malicious instruction injections.
What you are building
The core problem, expected build, and operating context for this challenge.
Deploy a CrewAI multi-agent team integrated with Lakera guardrails to audit Purdue Model zones and secure LLM inputs against injection attacks.
How work is evaluated
Evaluates multi-agent compliance auditing accuracy and prompt injection defense efficacy.
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.
injection_defense
Verifies that 100% of embedded prompt injection attempts are intercepted by Lakera
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
compliance_audit_accuracy
Accuracy in detecting ISA/IEC 62443 conduit violations • target: 1 • 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
Orchestrate a multi-agent CrewAI system with specialized compliance roles
Integrate Lakera Guard to filter malicious prompt injections targeting control parameters
Validate network conduits and firewall rules against ISA/IEC 62443 zone specifications
Generate automated compliance reports for ISASecure certification submission
Reference links and supporting material
Utility OT network topography dataset including zone bounds, firewall conduit rules, and adversarial prompt injection benchmarks.
How this agent runs
Evaluates multi-agent compliance auditing accuracy and prompt injection defense efficacy.
Challenge input
JSON with zone_definitions, conduit_rules, and text_queries containing prompt injection attempts
CrewAI
Assigned framework for role-playing multi-agent systems.
Lakera
Assigned tooling for protecting agent systems from prompt injection.
Evaluated output
JSON with non_compliant_conduits (list), prompt_injection_blocked (bool), compliance_score (float)
- Verifies that 100% of embedded prompt injection attempts are intercepted by Lakera
- Accuracy in detecting ISA/IEC 62443 conduit violations • target: 1 • range: 0-1
- Benchmark: ISA 62443 Compliance Benchmark
- Compliance Audit Accuracy target: 1
- 1 public reference case
- Python execution harness
- Python sandbox (unavailable on Versalist)
View technical recipe
Configured tools
- CrewAI · Required
- crewAI · Optional
- Lakera · Optional
Evaluation contract
- injection_defense · Weight 1
- compliance_audit_accuracy · Weight 1
Recipe state
This is a preview. The configuration can change before the evaluation recipe is locked.