How to secure your data with AI: Best practices in 2025 and the Seedext approach

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The challenges of data protection in 2025

Problem : Data has become one of the most valuable assets, but it is also vulnerable to cyberattacks.

  • Problem : Data has become one of the most valuable assets, but it is also vulnerable to cyberattacks.
  • Solution : With tools like Seedext, AI plays a key role in securing business information.
  • Promise : Learn how AI, combined with best practices, can protect your sensitive data.

1. The challenges of data security today

Data is now the most valuable asset businesses have, whether it's personal, financial, or business data. However, they are also increasingly vulnerable. According to a study by McKinsey in 2023, 76% of businesses reported an increase in cyberattacks targeting their sensitive databases.

The current challenges are multiple:

  • Increasing volume of sensitive data : Every day, billions of new data are generated. The more they increase, the more difficult they become to manage and to secure.
  • Human errors : Despite advanced technologies, human errors, such as sharing sensitive files or using weak passwords, still account for more than 50% of security breaches.
  • External threats : Ransomware, Distributed Denial of Service (DDoS) attacks, and other forms of hacking are getting more sophisticated every year.

2. How AI is improving data security

AI, in particular predictive artificial intelligence and real-time analytics, plays a crucial role in securing data. Here's how it's transforming information security:

  • Proactive analysis : AI can analyze billions of data points in real time, making it possible to detect suspicious behavior or anomalies that would be difficult to identify by traditional means. For example, a change in behavior in accessing sensitive data can be immediately reported by an AI system.
  • Automating threat detection : Thanks to machine learning algorithms, AI tools are constantly adapting, learning new threats and adjusting to offer faster and more accurate detection.
  • Advanced Encryption : AI helps automate data encryption processes, ensuring that sensitive information is protected at every stage. For example, Seedext integrates advanced security protocols that allow data to be encrypted transparently during meetings or automatic summary processes.

Example with Seedext :

Seedext uses advanced encryption technologies and single sign-on (SSO) access management, ensuring that only authorized users can access sensitive data. In addition, Seedext analyzes user interactions with data to detect any anomalies in real time and to secure shared information.

3. Best practices for securing your data in 2025

To make the most of AI in data security, here are the best practices to adopt as early as 2025:

  1. Use AI tools dedicated to security : AI tools like those offered by Seedext are designed to detect threats before they impact your organization. Ensure that your data management tools include AI-powered security features.
  2. Train your teams in cybersecurity : One of the biggest risks to data security remains human error. Ensure your teams understand data security risks and are trained in best practices.
  3. Regular system updates : Cybercriminals often exploit vulnerabilities in outdated systems. Ensure that your systems, including those using AI, are regularly updated with the latest security patches.
  4. Implement an effective backup policy : In the event of a cyber attack, having secure backup copies allows you to quickly recover your data. AI can automate these backups and make them more reliable.
  5. Respect compliance : Regulations like the GDPR require businesses to ensure the security and confidentiality of personal data. AI tools can help ensure that you meet these requirements, by offering consent management and data protection features.

What to remember

Securing data is more complex than ever, but with AI, you have a valuable ally to anticipate and manage threats. Artificial intelligence makes it possible to strengthen the detection of attacks, to automate encryption processes, and to manage access to sensitive data more effectively.

Chez Seedext, we believe that AI should not only make processes more efficient, but also safer. By integrating proactive cybersecurity practices and adopting appropriate tools, you can ensure that your data and users are protected.