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Industry Solutions

Ensure safe LLM adoption and prevent AI oversharing with security strategies tailored to your industry. Every sector faces unique risks — from finance to manufacturing, legal, and beyond.

Common AI Security Risks

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AI data leakage exposing sensitive business information

Confidential internal documents, financials, or IP unintentionally surface in responses.

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Inference attacks compromising organizational privacy

Attackers deduce protected or internal details through repeated queries and outputs.

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Uncontrolled AI output from large language models (LLMs)

LLMs generate or expose more than they should — especially when integrated with internal systems.

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Lack of visibility into AI-driven data flows

Hard to track where data originates, how it transforms, and where it ends up.

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Increased enterprise risk from tools like Microsoft Copilot

AI copilots access massive amounts of internal content, often without proper access control.

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Complex and fragmented compliance requirements

Meeting global privacy standards (GDPR, ISO, SOC 2, etc.) is nearly impossible without AI-aware controls.

Energy Sector

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.

Financial Services

Safely adopt LLMs and eliminate risks of AI oversharing and inference attacks in financial environments.

Healthcare

Ensure safe LLM adoption and stop AI oversharing with robust security tailored for healthcare environments.

Pharma

Secure your sensitive R&D and clinical data while safely adopting enterprise AI and LLMs.

Learn more about Data Leakage in various Industries

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