AI Data Leakage Management for Pharma

Critical AI Security Risks for Pharma

Pharmaceutical companies face unique risks with AI adoption, including potential exposure of proprietary R&D, clinical trial data leaks, and inference attacks that threaten competitive advantage and regulatory compliance.

AI data leakage compromising confidential R&D insights

Inference attacks revealing sensitive clinical trial outcomes

AI oversharing from unmanaged large language models (LLMs)

Limited visibility into how AI tools access critical data

Elevated risk from AI platforms like Microsoft Copilot

Complex compliance and stringent data protection requirements

Secure Pharma Data with Knostic

Knostic allows pharmaceutical companies to safely leverage AI, protecting against data leakage, inference attacks, and oversharing, safeguarding crucial R&D and clinical data.

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Benefits of Using Knostic

Comprehensive Data Visibility

Simplify and automate security protocols, focusing specifically on AI threats like data leakage and oversharing from enterprise AI solutions.

Rapid AI Threat Detection

Simplify and automate security protocols, focusing specifically on AI threats like data leakage and oversharing from enterprise AI solutions.

Automated Security Management

Simplify and automate security protocols, focusing specifically on AI threats like data leakage and oversharing from enterprise AI solutions.

Yes, Knostic directly addresses data leakage, inference attacks, and oversharing risks from Copilot and other enterprise AI tools.

Absolutely. Knostic automates comprehensive compliance monitoring, providing detailed audit trails tailored for pharma regulations.

Knostic monitors threats in real-time, rapidly identifying and resolving AI-related risks.

Yes, Knostic integrates quickly into existing pharma IT systems, ensuring minimal operational disruption.

Protect your pharmaceutical company from AI data leakage, inference attacks, and oversharing today.

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Protect Pharmaceutical Data from
AI Leakage & Inference Attacks

Critical AI Security Risks for Pharma

AI data leakage compromising confidential R&D insights

Inference attacks revealing sensitive clinical trial outcomes

AI oversharing from unmanaged large language models (LLMs)

Limited visibility into how AI tools access critical data

Elevated risk from AI platforms like Microsoft Copilot

Complex compliance and stringent data protection requirements

Learn more about Data
Leakage in Healthcare

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Secure Pharma Data with Knostic