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IBM: How to Avoid the Damage of Data Breaches with AI and Automation

02.08.2024 11:17:00
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IBM, in a report prepared in collaboration with the Ponemon Institute, presented the results of a study that surveyed 604 organizations and 3,556 cybersecurity and business professionals.

The report focuses on understanding how data breaches happen and what influences their cost. The report highlights the importance of using AI and automation to reduce costs and improve data security.

The average cost of a data breach in 2024 has reached a record high of $4.88 million, up 10% from last year.

One factor driving the rising costs is the rise of “shadow data” — data that is difficult to monitor and protect. The study found that one in three breaches involves such data.

Shadow data is stored or transferred without the proper IT regulation. Shadow data can be found in spreadsheets, local copies of databases, emails, and presentations.

Another key finding was that companies using AI and automation to prevent breaches saved an average of $2.22 million. These technologies significantly reduce risks and help companies better manage their security systems.

The report pays special attention to data management in cloud and hybrid environments. In 40% of data breaches, information was stored in multiple environments, with public cloud breaches accounting for the highest losses, at $5.17 million on average.

The company recommends using software that identifies “shadow data” and protects sensitive information in hybrid clouds.

With the introduction of generative AI models and the rise of IoT devices and SaaS (software as a service) applications, the attack surface is expanding, putting additional pressure on security teams.

The report recommends using AI and automation to localize an attack, and conducting team-based security exercises. These solutions can be implemented through fully managed security services.

Only 24% of generative AI initiatives have the necessary security measures

This can lead to data leaks and compromises, which reduces the effectiveness of such projects. IBM offers its solutions for protecting data and AI models, as well as for implementing AI security management.

To reduce the cost of data breaches, it is important to invest in incident response preparation. The IBM report emphasizes the importance of training and simulations of cyber incidents to improve attack preparedness.


(the text translation was done automatically)