Energy & Utilities

Protect critical infrastructure while enabling AI innovation. 200+ cyber incidents hit the European energy sector in 2023. 87% of energy sector professionals deploy unauthorized AI tools, exposing SCADA configurations and grid operations data. Shadow AI usage adds €670K to your breach costs.

200+
Cyber incidents in EU
Energy sector attacks in 2023
87%
Unauthorized AI usage
Energy professionals using shadow IT
€670K
Shadow AI penalty
Additional breach costs
32%
Zero OT monitoring
Critical processes unmonitored

The threat landscape is escalating

Sophisticated actors target energy infrastructure systematically. Recent major attacks include coordinated 2024 assault on 22 Danish energy firms, Halliburton data breach with operational disruptions, ongoing attacks against Finnish companies near Russian border, and the precedent-setting 2015 Ukraine power grid attack affecting 225,000 customers.

Evolving attack vectors: 80%+ of social engineering now uses AI. 61% of 2024 global attacks attributed to Russia. Nation-state actors increasingly active. AI-driven autonomous malware emerging.

Your security posture: 32% of energy operators have zero critical OT processes monitored by Security Operations Centers.

Shadow AI creates unprecedented vulnerability

Consumer AI tools your teams use daily create persistent exposure

Data retention risk

Conversations uploaded to third-party platforms stay there permanently. Your SCADA configurations, grid operations data, and infrastructure details become permanent records accessible through prompt injection attacks.

Model training exposure

Major providers train on user inputs. Your operational data could reappear in responses to other users or adversaries.

Third-country transfers

Data crosses borders without your knowledge. GDPR violations combine with security exposure.

No audit capability

You have zero visibility into what infrastructure data leaves your environment. Incident response becomes impossible when you cannot reconstruct data flows.

Third-party breach risk

Even if the AI provider protects your data, their suppliers and infrastructure create additional attack surface. 90% of largest energy companies learned this through painful experience.

The Cost

Organizations with high shadow AI usage face €670K additional breach costs - beyond the $4.88M-$10.22M average incident cost.

Zero external exposure architecture

Aimable Spaces processes sensitive infrastructure data without external risk

Data stays inside your environment

Host in EU cloud, your private cloud, or on-premises behind your firewall. Air-gapped deployment available for maximum security.

No external API calls with sensitive data

Smart routing analyzes each query. Infrastructure data stays local. Only non-sensitive queries use frontier models.

No model training on your data

Your operational knowledge remains confidential. No risk of SCADA configurations or grid management procedures appearing in other users' responses.

Complete network isolation option

Air-gapped deployment for highest security environments. Process infrastructure data with zero internet exposure.

Automatic sensitive data redaction

System identifies and protects SCADA configurations, infrastructure coordinates, access credentials, and operational parameters before any AI processing.

Security controls for critical infrastructure

Your infrastructure protection requires defense in depth

Deployment flexibility

EU cloud for standard operations. Private cloud for enhanced control. On-premises for air-gap requirements. You choose based on data sensitivity.

Access boundaries

Role-scoped workspaces mirror your security zones. Field engineers see maintenance procedures. Grid operations access real-time data. SCADA teams work in isolated environments. Contractors receive limited views.

Activity logging

Every query, every response, every document access recorded in your environment. Detect anomalous behavior. Reconstruct incidents. Support forensic investigation.

Authentication integration

Connect to your identity provider. Multi-factor authentication enforced. Session management aligned to your policies.

Encryption everywhere

Data encrypted in transit and at rest. Keys under your control. No plaintext exposure.

Supply chain transparency

Clear documentation of third-party dependencies. Assess vendor risk. Meet NIS2 supply chain security requirements.

Reduce shadow AI without blocking innovation

Prohibition fails - 91% of employees use AI regardless of policy. 46% would refuse to give up personal AI tools even if banned. Aimable Spaces provides approved alternative: ChatGPT-like interface your team knows, complete security controls you manage, zero external exposure.