Generative AI is your ally, but additional cybersecurity care is needed

By analyzing recent cybersecurity trends and guiding the actions CISOs must take to enable a safe journey of generative artificial intelligence in their organizations, experts who attended the Gartner Security & Risk Management Summit, an event that took place in Sydney, Australia, drew attention to the fact that this new technology will require additional care and the development of new cybersecurity capabilities, which could result in an increase of up to 15% in the volume of cybersecurity investments.

Speaking on the subject, Gartner Senior Managing Analyst Richard Addiscott explained that CISOs should update application and data security practices to integrate new attack surfaces, such as prompts or orchestration layers, to instrument AI models.

For Fernando Guimaraes, Head of Stone Age, vertical Credit and Anti-Fraud business 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 increasingly Generative AI is integrated into fraudsters' combat tools. The benefits of Generative AI are unquestionable and with enormous growth potential, however, such benefits must be accompanied with care and cyber security investments.“The net result will in most cases be very positive, but there is no free lunch”, says Guimaraes.

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

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

Guimaraes comments that the adoption of Athena gives Identify new features that make the journey of using the tool much more complete. In practice, according to him, now the company has a version 2.0 that can advance towards operational efficiency, with the reduction of manual intervention, increased assertiveness in decisions, and act in reducing costs, with the feasibility of working with smaller service and analysis teams.

“I believe that this type of gain can be disseminated by several other solutions in the market. Thus, considering the benefits brought by Generative AI for cybersecurity, the increase in investments to increase the use of this technology becomes fully justifiable”, he concludes.

An alternative to the use of AI in a safer way, is to use solutions that are customizable to the need of the company. According to Daniel Galante, CCO and CPO of TIVIT AI came to make processes and companies more agile, however, it is necessary to use in a very assertive way. “Imaginem a large law firm, which serves important clients and that all lawyers are imputing data from clients and processes in a 100% open environment, which can become public. This could generate a big problem making these data exposed to the general public. An alternative to this is to use a Generative AI that can be used as an example that it is to make it so it can be more accessible to be the most likely to be the customer that it is to be exposed to be the most likely to be the customer, it, it can be used to be the same.