AI Data Leakage Management for Energy

AI Security Risks Facing the Energy Sector

The energy industry encounters significant risks when adopting AI, including threats of data leakage, inference attacks, and AI oversharing, potentially exposing critical infrastructure and proprietary operational data.

AI data leakage compromising critical infrastructure security

Inference attacks exposing operational vulnerabilities

AI oversharing from unmanaged large language models (LLMs)

Limited visibility into AI-driven data flows within energy systems

Increased threats from enterprise AI solutions like Microsoft Copilot

Complex compliance and strict regulatory data protection requirements

Learn more about Data Leakage in Energy Sector

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Protect Energy Infrastructure with Knostic

Knostic equips energy companies with robust defenses against AI-specific risks, preventing data leakage, inference attacks, and oversharing, ensuring the security of infrastructure and operations.

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Benefits of Using Knostic

Enhanced AI Visibility

Clearly monitor AI interactions with energy infrastructure to prevent data leaks and oversharing.

Real-time AI Threat Mitigation

Rapidly detect and neutralize inference attacks, maintaining operational security.

Automated Security and Compliance Management

Automate complex security measures, specifically countering risks from AI oversharing and vulnerabilities in enterprise AI tools like Copilot.

Yes, Knostic specifically safeguards against data leakage, inference attacks, and oversharing threats in Copilot and other enterprise LLMs.

Absolutely. Knostic automates comprehensive compliance tracking, audits, and regulatory reporting specific to energy regulations.

Knostic provides immediate, real-time detection and rapid response to AI-related threats.

Knostic integrates quickly and seamlessly into existing energy sector systems, ensuring minimal disruption.

Secure your energy operations from AI data leakage, inference attacks, and oversharing now.

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Latest research and news

research findings

Primer: How to Spot and Analyze Malicious VS Code Extensions

Practical methods to identify, inspect, and defend against compromised IDE extensions that turn developer tools into an attack vector GlassWorm shows how developer tools have ...

research findings

Open Marketplaces: The Good, the Bad, and The Dangerous

Compromised extensions remain public even after exposure, showing how open marketplaces can be abused to distribute malware. Malicious Listings Still Active Malicious and hijacked ...

What’s next?

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Knostic leads the unbiased need-to-know based access controls space, enabling enterprises to safely adopt AI.

Primer: How to Spot and Analyze Malicious VS Code Extensions

Open Marketplaces: The Good, the Bad, and The Dangerous

New Malware, New Problems for IDEs and AI Coding Agents

Knostic Named the 2025 Gartner Cool Vendor in AI Cybersecurity Governance

Primer: How to Spot and Analyze Malicious VS Code Extensions

Open Marketplaces: The Good, the Bad, and The Dangerous

New Malware, New Problems for IDEs and AI Coding Agents

Knostic Named the 2025 Gartner Cool Vendor in AI Cybersecurity Governance

Secure Critical Energy Data from AI Leakage & Inference Threats

AI Security Risks Facing the Energy Sector

AI data leakage compromising critical infrastructure security

Inference attacks exposing operational vulnerabilities

AI oversharing from unmanaged large language models (LLMs)

Limited visibility into AI-driven data flows within energy systems

Increased threats from enterprise AI solutions like Microsoft Copilot

Complex compliance and strict regulatory data protection requirements

Learn more about Data Leakage in Energy Sector

Access Knostic RSA Prompts Book

Protect Energy Infrastructure with Knostic