Resources

Explore our resources for actionable insights on data security and management

What is AI Security?

AI security refers to two key concepts in the modern cybersecurity landscape:

  1. Protecting AI systems and the sensitive data they process
  2. Using AI technologies to strengthen cybersecurity defenses

 

Both aspects are essential as organizations adopt AI across critical operations and face growing threats targeting – and sometimes coming from – these technologies.

1. Securing AI Systems and Data

As artificial intelligence becomes embedded in enterprise workflows, securing the AI itself has become a top priority. This includes:

  • Protecting AI models and algorithms from theft, tampering, or reverse engineering
  • Securing training data to prevent manipulation (e.g., data poisoning or model inversion)
  • Preventing prompt injection and unauthorized use of generative AI tools
  • Controlling access to sensitive information exposed through AI-driven applications
  • Ensuring privacy and compliance in how AI handles personal or regulated data

 

Without proper controls, AI systems can become vectors for data leaks, bias, and compliance violations.

2. Using AI to Strengthen Cybersecurity

On the other hand, AI itself is a powerful tool for cybersecurity. Organizations use machine learning and intelligent algorithms to:

  • Detect anomalies and suspicious behavior in real time
  • Identify and predict emerging threats using large-scale data patterns
  • Automate threat detection and response to reduce incident response time
  • Enhance the accuracy of malware detection and intrusion prevention

 

This application of AI – sometimes referred to as AI-powered cybersecurity – helps defenders stay one step ahead in a fast-moving threat landscape.

Why AI Security Matters

Whether you’re securing AI or using AI for security, AI security is about:

  • Maintaining trust in your systems and insights
  • Protecting sensitive data from misuse
  • Preventing unauthorized learning or exposure via public AI models
  • Ensuring ethical, compliant, and secure use of artificial intelligence technologies

How Fasoo Secures AI Environments

Fasoo AI-R DLP automatically detects and blocks prompts to generative AI platforms that contain sensitive or regulated information.

  • Stops accidental exposure of confidential data to public AI tools like ChatGPT
  • Filters sensitive content in real-time to prevent AI models from learning proprietary data
  • Adds a protective layer before data even reaches external AI services

Fasoo AI-R Privacy uses AI to protect personal and sensitive data across your organization.

  • Automatically classifies sensitive data in text and image files
  • Uses AI to detect personally identifiable information (PII) and apply anonymization or masking
  • Helps maintain compliance with privacy laws like GDPR, HIPAA, and CCPA
  • Stops accidental exposure of confidential data to public AI tools like ChatGPT
  • Filters sensitive content in real-time to prevent AI models from learning proprietary data
  • Adds a protective layer before data even reaches external AI services

Resources

Fasoo AI Radar DLP

Product Overview

Learn how AI-R DLP accelerates your AI journey without putting your data at risk. Fasoo effectively addresses data privacy concerns and mitigates the risk of data leaks in generative AI.
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Fasoo AI Radar Privacy

Product Overview

Learn how AI-R Privacy effectively mitigates the risk of sensitive data breaches by accurately detecting and masking confidential information in text and image files.
Read More
Solutions to Protect Your Sensitive Data While Using Generative AI

Blog

How do you mitigate data security and privacy issues in this new AI world? Learn how Fasoo addresses the challenges of using generative AI responsibly.
Read More

Fasoo AI Radar DLP

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AI Security

iSMG Data Security Summit: Dallas

May 15, 2025
Renaissance Dallas at Plano Legacy West Hotel

Join us at our session to learn more about data security, privacy, and governance in the age of LLMs.

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