The rapid adoption of Generative Artificial Intelligence (Gen AI) in companies is redefining processes, allowing innovations and driving automation. According to a recent study by Bloomberg Intelligence, the growth rate of AI in the next decade is expected to be 42% per year – almost doubling its reach. However, the success of these solutions depends on careful management of the data that feeds these models. This is where cybersecurity comes in, vital element for the protection of privacy and the integrity of information
Generative AI goes beyond traditional artificial intelligence models, that only classify or predict behaviors, because it creates new content like texts, images and codes. This capacity for innovation opens new possibilities in various sectors, but it requires a careful approach to data use and security and this is recognized by the people who use technology in their daily lives. According to the 2024 Developer Survey by Stack Overflow, one of the main challenges 31,5%) of working with AI is not having the right policies to mitigate security risks.
In this sense, theTechnical Product ManagerJohn the Baptist, responsible for Zup's StackSpot AI platform, explain that to mitigate these risks, companies must implement strict security measures, given that cyber crimes are becoming increasingly sophisticated and could cost 10 by 2025,5 trillion dollars, according to the Cyber Security Almanac.
Ensuring that AI models operate safely and ethically requires a multifaceted approach, that combines robust cryptography, effective data governance, strict privacy practices and restricted access controls during model training. If we make a cut for the companies that create technology, having an AI-powered software development assistant trained in security can support the team in ensuring that the code follows best practices for secure coding. This, for example, it is a predictive mechanism for identifying vulnerability. More and more, the way is to think of a joint strategy that considers innovation, security and data protection as an essential tripod for the application of this type of technology, highlights John the Baptist
Regarding the legislation, Henrique Flôres, co-founder of Contraktor and leader of the development of CK Reader, Startup AI, explain that "while we await legislation to better regulate the use of AI".A. Generative, it is up to technology professionals to ensure the application of good encryption practices, data anonymization and governance policies of t.i. that can ensure the balance of the commercial interests of the parties, the transparency in the mechanisms of training algorithms and the ethical use in the manipulation of data.
Although it recognizes that innovating with emerging technologies, how Generative Artificial Intelligence, be a unique opportunity for transformation, Giovanna Rossi, CPO of Rethink, technology consulting, design and strategy, reinforces that it cannot be denied that it comes with significant risks, such as the exposure of sensitive information and the possibility of sophisticated cyber attacks. As the person responsible for the digital products area, I see how fundamental it is for leadership to prioritize a strategic approach in the use of AI to mitigate such risks. We have the responsibility to shape this technology in an ethical and safe manner, ensuring that its impact is positive and sustainable for all, affirms the executive.
Brazil has a high volume of data circulating on the internet and an accelerated digitization process. Regarding trademark protection, Diego Daminelli, CEO of BrandMonitor, pioneering company and specialist in combating unfair competition in the digital environment, alert that Brazilian security infrastructure is still progressing slowly, making the country one of the biggest targets of cyberattacks in the world, with a greater sophistication of attacks by criminals. "Safety culture is still a topic that is undervalued by many companies", that do not use AI but rather outdated technologies, that can make them vulnerable to attacks and are not able to monitor the brand's digital presence in all its breadth
The specialist gives the example of thephishing, big problem for segments like retail and service provision. Ads are broadcast on digital platforms using the entire identity of a brand and promising impractical discounts. This ad leads to a page that mimics the official layout of the company, but with a different address. On this page, products or services are offered at an extremely low price, inducing the customer to buy, закінчує
