Round 78

Critical Infrastructure Cybersecurity Model

A municipal utility provider must select a cybersecurity defense posture for its legacy industrial control systems (ICS). The goal is to maximize resilience against state-sponsored disruptions while managing a constrained maintenance budget and maintaining 99.999% operational uptime. The primary constraint is that these legacy systems lack modern encryption capabilities and have limited processing overhead for intrusive monitoring agents. Tradeoffs involve the tension between network isolation (air-gapping), real-time visibility, system performance, and the speed of disaster recovery.

Dashboard

Status

DECIDED

Winner

B · Passive Behavioral Monitoring: Deploy non-intrusive network taps to mirror traffic to an AI-driven anomaly detection engine, prioritizing operational continuity and visibility without risking the fragility of legacy hardware.

Majority

B · Passive Behavioral Monitoring: Deploy non-intrusive network taps to mirror traffic to an AI-driven anomaly detection engine, prioritizing operational continuity and visibility without risking the fragility of legacy hardware.

Duration

4644 ms

Topic

Options

B Passive Behavioral Monitoring: Deploy non-intrusive network taps to mirror traffic to an AI-driven anomaly detection engine, prioritizing operational continuity and visibility without risking the fragility of legacy hardware.
3.00 of 3 PPV winner
A Rapid Restoration & Redundancy: Allocate the majority of the budget to 'cold-standby' analog overrides and immutable offline backups, accepting that breaches will occur but ensuring the mission-critical service can be restored within minutes regardless of the cyber-physical damage.
0.00 of 3
C Active Honeypot & Deception: Deploy high-interaction decoys within the production environment to mislead attackers and provide early warning, accepting the risk that a misconfigured decoy could provide a bridge into the real system.
0.00 of 3
D Zero-Trust Micro-Segmentation: Implement identity-based access controls and granular firewalling at every node, accepting significant configuration complexity and potential latency to contain lateral movement during a breach.
0.00 of 3
E Strict Network Air-Gapping: Sever all external connectivity to the ICS network, relying on physical security and 'sneakernet' updates to eliminate remote attack vectors at the cost of real-time telemetry and remote expert support.
0.00 of 3

Checks

Baselines

PPV no gold answer
Majority no gold answer
Comparison PPV matched majority
k samples8
Agents3
Parsed samples 24 / 24
Quality near unanimous split

PPV

Top Influences

Claude Sonnet 5 · delegate 1.236
GPT 5.4 mini · delegate 1.106
Gemini 3 Flash Preview · delegate 1.106

Samples

Answer Distribution

Claude Sonnet 5 B: 8
GPT 5.4 mini B: 7 E: 1
Gemini 3 Flash Preview B: 7 A: 1

PPV

Influences

Label Role Score
Claude Sonnet 5 delegate 1.236
GPT 5.4 mini delegate 1.106
Gemini 3 Flash Preview delegate 1.106

Voting matrix

Constructed Delegation Matrix

To / From Claude Sonnet 5 GPT 5.4 mini Gemini 3 Flash Preview
Claude Sonnet 5 0.0000.1060.106
GPT 5.4 mini 0.0000.0000.106
Gemini 3 Flash Preview 0.0000.1060.000
A 0.0000.0000.000
B 1.0000.7890.789
C 0.0000.0000.000
D 0.0000.0000.000
E 0.0000.0000.000

Embeddings

Sample Embeddings

24 samples
Claude Sonnet 5 sample #0 · B · 1536 dims B Claude Sonnet 5 sample #1 · B · 1536 dims B Claude Sonnet 5 sample #2 · B · 1536 dims B Claude Sonnet 5 sample #3 · B · 1536 dims B Claude Sonnet 5 sample #4 · B · 1536 dims B Claude Sonnet 5 sample #5 · B · 1536 dims B Claude Sonnet 5 sample #6 · B · 1536 dims B Claude Sonnet 5 sample #7 · B · 1536 dims B GPT 5.4 mini sample #0 · B · 1536 dims B GPT 5.4 mini sample #1 · E · 1536 dims E GPT 5.4 mini sample #2 · B · 1536 dims B GPT 5.4 mini sample #3 · B · 1536 dims B GPT 5.4 mini sample #4 · B · 1536 dims B GPT 5.4 mini sample #5 · B · 1536 dims B GPT 5.4 mini sample #6 · B · 1536 dims B GPT 5.4 mini sample #7 · B · 1536 dims B Gemini 3 Flash Preview sample #0 · B · 1536 dims B Gemini 3 Flash Preview sample #1 · A · 1536 dims A Gemini 3 Flash Preview sample #2 · B · 1536 dims B Gemini 3 Flash Preview sample #3 · B · 1536 dims B Gemini 3 Flash Preview sample #4 · B · 1536 dims B Gemini 3 Flash Preview sample #5 · B · 1536 dims B Gemini 3 Flash Preview sample #6 · B · 1536 dims B Gemini 3 Flash Preview sample #7 · B · 1536 dims B
Claude Sonnet 5 GPT 5.4 mini Gemini 3 Flash Preview

Samples

Agent Responses

Claude Sonnet 5 openai_compatible · anthropic/claude-sonnet-5
#0 B · Passive Behavioral Monitoring: Deploy non-intrusive network taps to mirror traffic to an AI-driven anomaly detection engine, prioritizing operational continuity and visibility without risking the fragility of legacy hardware. 1536 dims

Passive Behavioral Monitoring best fits the constraints: legacy ICS cannot handle intrusive agents or heavy processing overhead, and uptime must be preserved at 99.999%, making non-intrusive traffic mirroring ideal for visibility without risking system fragili...

#1 B · Passive Behavioral Monitoring: Deploy non-intrusive network taps to mirror traffic to an AI-driven anomaly detection engine, prioritizing operational continuity and visibility without risking the fragility of legacy hardware. 1536 dims

Passive Behavioral Monitoring best fits the constraints: legacy ICS systems lack processing overhead for intrusive agents, so a non-intrusive, out-of-band monitoring approach preserves uptime and hardware stability while still providing threat visibility. Opti...

#2 B · Passive Behavioral Monitoring: Deploy non-intrusive network taps to mirror traffic to an AI-driven anomaly detection engine, prioritizing operational continuity and visibility without risking the fragility of legacy hardware. 1536 dims

Passive behavioral monitoring is the best fit because it respects the legacy systems' limited processing overhead by avoiding intrusive agents, while still providing real-time visibility—unlike air-gapping, which sacrifices telemetry, or active deception/zero-...

#3 B · Passive Behavioral Monitoring: Deploy non-intrusive network taps to mirror traffic to an AI-driven anomaly detection engine, prioritizing operational continuity and visibility without risking the fragility of legacy hardware. 1536 dims

Passive monitoring best fits the constraints: legacy ICS lack processing overhead for intrusive agents, and uptime requirements make active interventions (segmentation, honeypots) risky. Non-intrusive taps preserve performance and uptime while still providing ...

#4 B · Passive Behavioral Monitoring: Deploy non-intrusive network taps to mirror traffic to an AI-driven anomaly detection engine, prioritizing operational continuity and visibility without risking the fragility of legacy hardware. 1536 dims

Passive Behavioral Monitoring best fits the constraints: legacy ICS hardware cannot handle intrusive agents or heavy encryption overhead, so a non-intrusive tap-based approach preserves uptime while still granting visibility into anomalies. It avoids the opera...

#5 B · Passive Behavioral Monitoring: Deploy non-intrusive network taps to mirror traffic to an AI-driven anomaly detection engine, prioritizing operational continuity and visibility without risking the fragility of legacy hardware. 1536 dims

Given the constraint that legacy ICS lack processing overhead for intrusive monitoring, passive non-intrusive taps preserve system performance while still providing visibility, unlike active segmentation or honeypots which risk destabilizing fragile hardware. ...

#6 B · Passive Behavioral Monitoring: Deploy non-intrusive network taps to mirror traffic to an AI-driven anomaly detection engine, prioritizing operational continuity and visibility without risking the fragility of legacy hardware. 1536 dims

Legacy ICS systems lack processing headroom for intrusive agents or complex micro-segmentation logic, making zero-trust or honeypot approaches risky for uptime. Passive network taps provide visibility without adding load to fragile endpoints, preserving the 99...

#7 B · Passive Behavioral Monitoring: Deploy non-intrusive network taps to mirror traffic to an AI-driven anomaly detection engine, prioritizing operational continuity and visibility without risking the fragility of legacy hardware. 1536 dims

Passive behavioral monitoring directly addresses the stated constraint that legacy ICS lacks processing overhead for intrusive agents, since non-intrusive taps provide visibility without burdening fragile hardware. It also balances uptime requirements by avoid...

GPT 5.4 mini openai_compatible · openai/gpt-5.4-mini
#0 B · Passive Behavioral Monitoring: Deploy non-intrusive network taps to mirror traffic to an AI-driven anomaly detection engine, prioritizing operational continuity and visibility without risking the fragility of legacy hardware. 1536 dims

The utility needs strong protection for fragile legacy ICS while preserving uptime and avoiding intrusive agents, so the best fit is a non-invasive approach that adds visibility without stressing the systems. Passive behavioral monitoring uses mirrored traffic...

#1 E · Strict Network Air-Gapping: Sever all external connectivity to the ICS network, relying on physical security and 'sneakernet' updates to eliminate remote attack vectors at the cost of real-time telemetry and remote expert support. 1536 dims

The best fit is the option that most directly addresses state-sponsored disruption risk for fragile legacy ICS while respecting the lack of encryption support and avoiding intrusive agents. Air-gapping provides the strongest reduction of remote attack surface ...

#2 B · Passive Behavioral Monitoring: Deploy non-intrusive network taps to mirror traffic to an AI-driven anomaly detection engine, prioritizing operational continuity and visibility without risking the fragility of legacy hardware. 1536 dims

The legacy ICS cannot tolerate intrusive agents, so active micro-segmentation or deception inside production would add complexity and risk. Since the main goal is resilience against state-sponsored disruption while preserving uptime and avoiding hardware impac...

#3 B · Passive Behavioral Monitoring: Deploy non-intrusive network taps to mirror traffic to an AI-driven anomaly detection engine, prioritizing operational continuity and visibility without risking the fragility of legacy hardware. 1536 dims

The legacy ICS environment cannot tolerate intrusive agents or heavy processing overhead, so the best fit is a non-intrusive control that preserves uptime while improving visibility. Passive behavioral monitoring uses network taps and mirrored traffic, which s...

#4 B · Passive Behavioral Monitoring: Deploy non-intrusive network taps to mirror traffic to an AI-driven anomaly detection engine, prioritizing operational continuity and visibility without risking the fragility of legacy hardware. 1536 dims

The best fit is the approach that balances resilience, uptime, and limited legacy hardware overhead without adding intrusive agents. Passive behavioral monitoring uses non-intrusive taps, preserves operational continuity, and improves visibility while avoiding...

#5 B · Passive Behavioral Monitoring: Deploy non-intrusive network taps to mirror traffic to an AI-driven anomaly detection engine, prioritizing operational continuity and visibility without risking the fragility of legacy hardware. 1536 dims

The legacy ICS cannot tolerate intrusive agents or heavy overhead, so the best posture is one that preserves uptime while still giving visibility with minimal impact. Passive network taps with out-of-band anomaly detection fit these constraints better than air...

#6 B · Passive Behavioral Monitoring: Deploy non-intrusive network taps to mirror traffic to an AI-driven anomaly detection engine, prioritizing operational continuity and visibility without risking the fragility of legacy hardware. 1536 dims

The key constraints are legacy ICS hardware, limited processing overhead, and a requirement for very high uptime, which makes intrusive controls risky. Passive monitoring via network taps gives visibility without adding load or disrupting fragile systems, whil...

#7 B · Passive Behavioral Monitoring: Deploy non-intrusive network taps to mirror traffic to an AI-driven anomaly detection engine, prioritizing operational continuity and visibility without risking the fragility of legacy hardware. 1536 dims

The best choice is the one that most directly protects fragile legacy ICS while preserving uptime and avoiding intrusive agents. Passive behavioral monitoring uses non-intrusive network taps, so it gives visibility and anomaly detection without adding processi...

Gemini 3 Flash Preview openai_compatible · google/gemini-3-flash-preview
#0 B · Passive Behavioral Monitoring: Deploy non-intrusive network taps to mirror traffic to an AI-driven anomaly detection engine, prioritizing operational continuity and visibility without risking the fragility of legacy hardware. 1536 dims

To maximize resilience in legacy systems with limited processing power and no encryption, **Option (B)** is the most viable strategy. Because these systems cannot handle intrusive agents or latency-inducing segmentation, passive network taps provide the necess...

#1 A · Rapid Restoration & Redundancy: Allocate the majority of the budget to 'cold-standby' analog overrides and immutable offline backups, accepting that breaches will occur but ensuring the mission-critical service can be restored within minutes regardless of the cyber-physical damage. 1536 dims

The primary constraint emphasizes that legacy hardware lacks the processing overhead for intrusive agents (ruling out D) and requires maintaining 99.999% uptime (making intrusive active measures like C risky). Option (B) provides the necessary visibility for t...

#2 B · Passive Behavioral Monitoring: Deploy non-intrusive network taps to mirror traffic to an AI-driven anomaly detection engine, prioritizing operational continuity and visibility without risking the fragility of legacy hardware. 1536 dims

The optimal choice addresses the lack of processing overhead and the 99.999% uptime requirement while managing legacy hardware fragility. Option (B) provides critical visibility into state-sponsored threats through non-intrusive network taps that do not tax li...

#3 B · Passive Behavioral Monitoring: Deploy non-intrusive network taps to mirror traffic to an AI-driven anomaly detection engine, prioritizing operational continuity and visibility without risking the fragility of legacy hardware. 1536 dims

The primary constraints are the fragility of legacy hardware and the requirement for 99.999% uptime, which rule out resource-intensive agents or complex segmentation that could induce latency. Option (B) provides critical visibility and threat detection throug...

#4 B · Passive Behavioral Monitoring: Deploy non-intrusive network taps to mirror traffic to an AI-driven anomaly detection engine, prioritizing operational continuity and visibility without risking the fragility of legacy hardware. 1536 dims

This decision requires balancing extreme reliability (99.999% uptime) with legacy hardware that cannot support intrusive security agents or high-latency protocols. Option (B) is superior because passive monitoring provides the necessary real-time visibility an...

#5 B · Passive Behavioral Monitoring: Deploy non-intrusive network taps to mirror traffic to an AI-driven anomaly detection engine, prioritizing operational continuity and visibility without risking the fragility of legacy hardware. 1536 dims

A municipal utility provider must prioritize operational uptime and accommodate legacy hardware limitations, which preclude intrusive agents or high-latency security layers like Zero-Trust. Option (B) provides the necessary visibility for threat detection thro...

#6 B · Passive Behavioral Monitoring: Deploy non-intrusive network taps to mirror traffic to an AI-driven anomaly detection engine, prioritizing operational continuity and visibility without risking the fragility of legacy hardware. 1536 dims

The most effective strategy for legacy ICS with limited processing power and high uptime requirements is (B). Passive monitoring avoids the system instability and latency risks associated with intrusive agents (D) or complex deception bridges (C), while provid...

#7 B · Passive Behavioral Monitoring: Deploy non-intrusive network taps to mirror traffic to an AI-driven anomaly detection engine, prioritizing operational continuity and visibility without risking the fragility of legacy hardware. 1536 dims

The best option addresses the constraints of legacy hardware that cannot handle intrusive agents or encryption while prioritizing the 99.999% uptime requirement. **(B) Passive Behavioral Monitoring** uses out-of-band network taps that provide critical visibili...

Timings

Stages

Sampling4235 ms
Embedding399 ms
Signals10 ms
PPV0 ms

Errors

Agent and Round Errors

No errors recorded.