AI Data Leakage Management for Healthcare

Healthcare's AI Security Risks

As healthcare rapidly adopts LLM and AI tools, risks like AI data leakage, inference attacks, and AI oversharing threaten patient confidentiality and compliance.

AI data leakage exposing sensitive patient information (PHI)

Inference attacks compromising patient confidentiality

AI oversharing from unmanaged large language models (LLMs)

Limited visibility into AI-driven data flows

Increased security risks from enterprise AI, including Microsoft Copilot

Complex compliance and data protection requirements

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Leakage in Healthcare

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Safeguard Healthcare Data with Knostic

Knostic enables healthcare organizations to confidently adopt LLMs, addressing AI-specific threats such as data leakage, inference attacks, and oversharing.

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Benefits of Using Knostic

Comprehensive AI Visibility

Clearly see and control how LLMs might access patient data, preventing oversharing and leakage.

Real-time AI Threat Detection

Instantly identify and mitigate inference and leakage threats to keep patient information secure.

Automated AI Security Management

Streamline security processes, focusing on protecting against AI oversharing and other threats from enterprise AI solutions like Copilot.

Yes, Knostic.ai specifically addresses risks such as data leakage, inference attacks, and oversharing within Copilot and other LLMs.

Absolutely. Knostic automates compliance monitoring, audits, and reporting tailored for healthcare.

Knostic.ai provides real-time monitoring, swiftly detecting and resolving threats like AI oversharing and inference attacks.

Knostic integrates seamlessly into your current systems, offering rapid setup with minimal disruption.

Protect your healthcare organization from AI data leakage, inference attacks, and oversharing.

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