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Discover security features to protect your data, files, and endpoints

FileGrant
FileGrant

Securely store, share, and manage your files with an advanced, easy-to-use, and highly customizable platform

 

RemoteGrant
RemoteGrant

RemoteGrant protects your business from attacks and data loss by enabling employees to securely access workstations and files from anywhere.

 

Protezione AI scraping
CyberGrant TeamMay 28, 2025 5:33:58 PM4 min read

Data & AI: risks, challenges, and enterprise-grade solutions

CyberGrant blog: AI and data security risks: how to stay in control
6:21

Data & Artificial Intelligence: risks, challenges, and enterprise-grade solutions 

Protecting sensitive data in the age of Generative AI is now a top priority for enterprises worldwide. Here’s how business leaders can tackle this growing challenge while staying innovative. 

 

Introduction 

Since OpenAI made ChatGPT publicly accessible in late 2022, cybersecurity experts have flagged a critical issue: the prompts and data users input into generative AI platforms are often used to train the underlying large language models (LLMs). This uncontrolled flow of data has led many organizations to restrict access to tools like ChatGPT and other free GenAI platforms for employees and consultants alike—primarily due to fears of data leakage, intellectual property loss, and breaches of client confidentiality. 

 

Human error & shadow ai: the hidden risk of sensitive data leaks 

We’re facing a ticking time bomb: the unauthorized exposure of sensitive data through generative AI tools. If left unmanaged, this phenomenon could severely undermine regulatory compliance, financial stability, customer trust, and ultimately, a company’s legal standing. 

Here’s a breakdown of the key risks associated with unmonitored use of GenAI tools in the enterprise: 

 

Data privacy risks 

Unless a formal enterprise-grade contract is in place, many generative AI platforms reserve the right to use user queries for training purposes. Once sensitive data is input, organizations effectively lose control. The result? A serious risk of exposure for customer data, employee records, and trade secrets—an alarming case of shadow AI in action. 

 

Data security vulnerabilities 

Security-related prompts—such as penetration test results or network configurations—can become cybercriminal goldmines if leaked through GenAI platforms. These insights could be weaponized to launch targeted attacks on corporate infrastructure. 

 

Regulatory compliance violations 

Uploading sensitive data to LLMs may breach a wide array of privacy regulations: 

  • GDPR – Uploading personal data of EU citizens without safeguards can result in significant fines. 
  • HIPAA – Sharing patient data via AI tools could breach healthcare data protection laws in the U.S. 
  • CCPA – Unauthorized disclosure of California residents’ data may trigger lawsuits and penalties. 
  • Trade Secret Disclosure – Once exposed via GenAI, trade secrets may lose legal protection entirely. 

 

Reputation damage 

A single AI-induced data breach can devastate a brand’s reputation. With growing public scrutiny, the fallout from unvetted AI tool usage can lead to lasting reputational harm and a sharp decline in customer confidence. 

 

Input risk: inaccurate or misleading ai outputs 

The threat isn't only about data leaving your organization—it’s also about bad data coming in. AI models often "hallucinate," generating inaccurate responses that can corrupt decision-making processes or lead to regulatory breaches when relied upon blindly. 

 

How enterprises can minimize ai-driven risk 

To stay both innovative and compliant, companies must adopt a multi-layered strategy—built on AI governance, security policy enforcement, and employee awareness. 

 

1. Train your teams 

Educate employees and consultants on the risks of GenAI platforms. Establish a culture of shared responsibility and provide clear guidance on: 

  • Why inputting sensitive data is dangerous 
  • How to formulate safe, anonymized prompts 
  • The legal and reputational consequences of improper AI usage 

 

2. Monitor file access and usage 

Implement robust access control mechanisms and real-time monitoring: 

  • Restrict access based on user roles (RBAC) 
  • Detect and flag unusual activity involving sensitive files or systems 
  • Apply granular permission management across endpoints and cloud environments 

 

3. Invest in enterprise-grade tools 

Replace free, unvetted GenAI tools with secure, compliant alternatives: 

  • Data Loss Prevention (DLP) software to prevent unauthorized uploads 
  • AI tools with enterprise-grade controls and compliance certifications 
  • Digital Rights Management (DRM) systems to allow collaboration without losing control of sensitive content 

 

4. Approve and enforce safe tools 

Empower teams with company-sanctioned, secure AI platforms that are: 

  • Easy to use and accessible 
  • Continuously updated to meet evolving security standards 
  • Designed to align with zero trust architecture and compliance frameworks 

 

CyberGrant: your strategic partner in AI governance 

Based in Menlo Park, California, CyberGrant Inc. delivers cutting-edge solutions that enable enterprises to protect data, prevent exfiltration, and strengthen compliance posture. 

One of the most powerful tools in our stack is FileGrant Enterprise—built to meet the needs of companies looking to contain the AI data leakage threat while maintaining full operational efficiency. 

 

Why FileGrant Enterprise? 

Here’s how FileGrant Enterprise helps organizations take back control: 

  • AI Data Scraping Block – Prevent generative AI like Copilot or ChatGPT from accessing protected files 
  • AES-256 Encryption – Enterprise-grade & quantum-proof encryption at rest and in transit 
  • Offline Protection – Files stay encrypted even without internet connectivity 
  • Secure PDF Layering – Encrypted previews viewable in standard PDF readers 
  • API-Based Protection – Rapid file encryption with a simple API call 
  • Activity Monitoring & RBAC – Detailed logs and role-based access controls 
  • Compliance-Ready Architecture – Simplifies GDPR, DORA, HIPAA, and NIS2 alignment 

 

Conclusion 

The rise of generative AI brings both unprecedented efficiencies and significant risk. As usage of LLMs grows, so too will the challenges around data privacy, security, and governance. 

That’s why forward-thinking companies are implementing employee training programs, real-time monitoring, and enterprise-grade AI controls like FileGrant Enterprise. 

In today’s digital economy, deploying a solution like FileGrant isn’t just a smart move—it’s a strategic imperative to ensure resilience, compliance, and trust. 

 

Learn how FileGrant Enterprise can help you stay secure and compliant. Get in touch with CyberGrant today. 

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