Data security: 4 main challenges for companies and solutions to overcome them 

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Segurança de dados: 4 principais desafios para as empresas e soluções para superá-los *By Cácio Costa, Technical Consultant in Corporate Training at Alura Para Empresas One of the most iconic terms in the world of veterans, surprisingly, is not said by any of them: “With great power comes great responsibilities”, says director Peter. Parker (Spider-Man) is his uncle, Ben Parker. This principle can be applied in many areas, and in science it becomes especially important, because progress leads to surprising results, but it also needs to be applied in the way of developing it, especially when it comes to business.

We have a huge responsibility as organizations – and this is reflected in the innovations we seek to implement, such as improving efficiency, reducing costs, ensuring products and services align with the individual, improving the customer experience and creating new business opportunities. That's right: technology brings all these benefits.  However, there is also another dimension: the continued commitment of companies to protect information – especially sensitive and confidential information – legally, to ensure public trust in that information and keep it secure in an increasingly digital world.  

This is a difficult but important task. Therefore, I will outline four major challenges and strategies for overcoming them.

Cybercrime rates in Brazil have increased significantly this year (Image: Graphic and Photo Stocker/Shutterstock) Cybercrime According to research by Check Point Research, the number of cyberattacks increased by 30% in the second half of this year, compared to the year 1990 ). in the first place. In Brazil, this number reached 67%, equivalent to more than 2,700 attacks per week. 

To protect themselves against these threats, companies must focus on protection against ransomware, which is malware used to hijack digital data, which is one of the main tactics of criminals. Prevention occurs at two levels: technical and human. On the technology side, it's important to keep backups up to date, apply security patches regularly, and implement multi-factor authentication. On the human side, creating a safe online culture and training employees to recognize and avoid suspicious links and emails are important initiatives. 

IoT Device Security With the rise in automation, Internet of Things (IoT) devices have also become vulnerable to threats. According to Gartner research, by 2025, 75% of IoT attacks will target organizations, highlighting the urgent need to strengthen security in this area. 

To mitigate these risks, companies must invest in network segmentation to isolate critical devices, continuously monitor traffic flow, and ensure that all devices combined meet security standards. And of course: it is important to implement robust access controls with strong authentication capabilities and ensure that the software is always up to date, thus reducing risks. 

Security must be attentive not only to threats, but also to regulatory compliance (Image: Skorzewiak/Shutterstock) Compliance Compliance with regulations, such as the Personal Data Protection Law (LGPD), goes beyond a simple legal requirement: it affects all aspects of data collection, storage and use within the company. 

Reviewing security policies is the first step. Before implementing a new data protection system, it is necessary to clearly define who should have access to the data, how this data will be used and what the consequences will be.  

Furthermore, it is also important to appoint a Data Protection Officer (DPO), as required by the LGPD. Although small businesses are not required to have this employee, their presence becomes an increasingly important compliance requirement and protects the organization's reputation. 

Adopting AI also requires caution (Image: MUNGKHOOD STUDIO/Shutterstock) Defining AI use regulations The AI ​​industry is expected to reach US$1.3 trillion by 2032, according to Bloomberg Intelligence (BI). Using this method requires care to avoid ethical and privacy risks. 

Companies need to monitor the data that AI uses and ensure that these systems are built with only the right data. This concern is to protect the confidentiality of information and avoid prejudices that could lead to discrimination. Using ethical and ethical standards can help companies ensure that their use of AI complies with ethical and security standards. 

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Brazil still has a long way to go in cybersecurity — and this strategy can help 8 practical and easy tips to improve your online security 5 security tips to avoid being attacked committed fraud on WhatsApp Extra tip Remember: the first line of defense for online security Data is not a collection of scientific tools, but rather experts. Raising awareness and educating teams, including leaders, is what will allow the company to put together its security pieces.  

Ultimately, digital security is not just about “saving the day” with technology, but about turning innovation into responsibility for those who can manage it.