StartNewsTipsGenerative AI is your ally, but additional cybersecurity measures are necessary

Generative AI is your ally, but additional cybersecurity measures are necessary

By analyzing the main recent trends in cybersecurity and guiding the actions that CISOs should take to enable a safe journey of generative artificial intelligence in their organizations, the specialists who participated in the Gartner Security & Risk Management Summit, event that took place in Sydney, in Australia, they drew attention to the fact that this new technology will require additional care and the development of new cybersecurity resources, potentially resulting in an increase of up to 15% in the volume of investments in cybersecurity

When talking about the subject, the Senior Director Analyst at Gartner, Richard Addiscott, explained that CISOs should update application and data security practices to integrate new attack surfaces, as prompts or layers of orchestration, to implement AI models

For Fernando Guimarães, Head of the Stone Age, credit and antifraud business vertical of TIVIT, the estimate may be even conservative as, in addition to the need to protect applications that work with generative AI, there is a trend that generative AI is increasingly being integrated into tools to combat fraudsters. The benefits of Generative AI are undeniable and have enormous growth potential, however, such benefits must be accompanied by care and investments in cybersecurity.The net result will be very positive in most cases, "but there is no free lunch", affirms Guimarães

He comments that this movement was carried out by Stone Age itself with the incorporation of the generative artificial intelligence solution Athena, developed by TIVIT in its solutions. In early 2024, the technology has been offered as a new feature present in Identify, product focused on identity validation for onboarding and sales processes

Launched in December of last year by TIVIT, Athena allows Identify to perform, among other things, the intelligent reading of the data from a social contract in 30 seconds automatically. Furthermore, extract structured information from these documents, which immediately transform into collaborative insights to feed the data pipeline that enables more effective and faster decision-making

Guimarães comments that the adoption of Athena gives Identify new features that make the tool's usage journey much more complete. In practice, according to him, now the company has a version 2.0 that can advance in the direction of operational efficiency, with the reduction of manual intervention, increase in assertiveness in decisions, in addition to acting on cost reduction, with the feasibility of working with smaller support and analysis teams

"I believe that this type of gain can be spread through several other solutions in the market". In this way, considering the benefits brought by Generative AI for cybersecurity, the increase in investments to enhance the use of this technology becomes fully justifiable, concludes

An alternative for using AI more safely, it is to use solutions that are customizable to the company's needs. According to Daniel Galante, CCO and CPO of TIVIT, AI has come to make processes and companies more agile, however, it is necessary to use in a very assertive way. "Imagine a large law firm", that serves important clients and where all lawyers input client and case data in a 100% open environment, that can become public. This could create a big problem by exposing this data to the general public. One alternative to this is to use a customizable Generative AI, like Athena for example, in which the client can select which will be the query bases, make all data exposed only in predetermined locations and with access restricted to those who really need it. This is the best way to use AI, bringing the agility gain that it has, "but at the same time the necessary security for a process like this" says Galante

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