What role is artificial intelligence taking on?

In the last few years, artificial intelligence is revolutionising numerous sectors, and has a strong impact on the issue of data protection. While it offers significant advantages in terms of automation, efficiency and advanced data analysis, AI also raises several concerns regarding privacy and information security.

The challenges related to this area are extremely significant and the possible risks very high. At the centre of attention are the issues of system security and data reliability.

Despite the challenges, AI also offers significant opportunities to improve data protection. The integration of privacy and cybersecurity is key to ensuring data protection in the age of artificial intelligence (AI), where data collection, processing and use are increasingly widespread and complex. AI can be used to analyse large amounts of data and naturally this raises the risk that data may be subject to unauthorised access or further breaches if appropriate security measures are not implemented.

The Relevance of Cybersecurity

Cybersecurity plays a key role in ensuring that this data is protected from unauthorised access or system breaches.

In particular, the use of encryption to protect data is critical for both privacy and cybersecurity, as encryption ensures that only authorised persons can access and interpret the data.

With encryption, data is transformed into an unreadable form using an algorithm and a key to ensure the confidentiality and security of the information during its transmission over the network.

To ensure maximum data protection, monitoring and threat detection systems are also organised to detect suspicious activity or system intrusions.
Along with all these defensive strategies, companies are putting in place access audits and user control. Who has access to the data? Am I restricting it to authorised persons?

These and many other cybersecurity questions are on the table at Executive Meetings to define the best strategies to put in place to ensure business continuity and data protection.

The practical use of Artificial Intelligence to improve cybersecurity effectiveness

Threat detection: AI algorithms can analyse huge amounts of data to identify anomalous behaviour that could indicate a potential security breach. These systems can detect suspicious patterns or unauthorised activity in real time, enabling an immediate response to threats.

Fraud prevention: AI is crucial in the prevention of financial and online fraud. By analysing patterns of user behaviour and transactions, AI can identify fraudulent transactions with greater accuracy than traditional methods.

Protection of sensitive data: technologies such as homomorphic encryption and tokenization, supported by AI, allow sensitive data to be protected during transmission and processing, reducing the risk of unauthorised access.

Conclusions

In conclusion, the integration of Artificial Intelligence (AI) in data protection offers significant advantages in threat detection, fraud prevention and protection of sensitive data.

However, it also presents challenges with regard to security and privacy. To ensure effective cybersecurity, it is essential to adopt an approach that combines advanced technologies such as AI with established defensive strategies such as encryption and threat monitoring.

Investing in advanced AI-supported solutions and fostering a cybersecurity culture are crucial to address the emerging challenges in the data protection landscape.