Challenge or Necessity for Business Process Transformation.

Cybersecurity is becoming increasingly critical as the use of artificial intelligence (AI) explodes.

Deep technology expertise matters most in this market right now. Companies must clearly define their cyber strategy and architecture. After all, it impacts every aspect of the business: new product and service design, technology upgrades, supply chain and customer management, and is a critical aspect of organizational change. Cybersecurity has become a business enabler rather than a barrier.

Introduction

In the era of digital transformation, when AI penetrates all areas of business, cybersecurity issues have become more relevant than ever. AI technologies provide businesses with many benefits: process automation, improved customer experience, big data analysis and much more. However, as the use of AI increases, so does the risk of cyber attacks, which can lead to serious financial and reputational losses. In this article, we look at the current cybersecurity landscape, the impact of AI on security, forecasts for the next three years, and make recommendations for businesses.

Current Cyber Security Situation

Statistics and trends

Cyber attacks are one of the most significant threats to business. According to global reports, cybercrime will have possibly caused $10.5 trillion in damages annually by 2025. In 2023, the number of cyber attacks increased by 15% compared to the previous year, with attacks becoming increasingly comlicated and targeted.

The average cost of a data breach in 2023 was $4.45 million, 2.3% higher from 2022, according to an IBM report. In the healthcare sector, the rate reached $10.93 million per leak, making it the most expensive one. The financial sector, with its significant volume of sensitive data, also remains one of the top targets for hackers, with attacks growing by 17% in 2023.

In addition, the study showed that 68% of companies experienced at least one ransomware attack in 2023. At the same time, 59% of these attacks resulted in successful data encryption, highlighting the ineffectiveness of existing security measures in preventing such incidents.

The biggest attacks of recent years

The past year and a half has been marked by several large-scale cyber attacks that have exposed the vulnerability of even the most secure systems. **In May 2021**, **a ransomware attack on Colonial Pipeline paralyzed the largest pipeline company in the United States, causing fuel shortages and economic losses. The company was forced to pay $4.4 million in ransom.** The attack highlighted the **vulnerability of critical infrastructure and the need to strengthen security measures.

In June 2021, the world’s largest meat producer JBS was hit by a ransomware attack, forcing the company to close its plants in the US, Canada and Australia. The company paid $11 million in Bitcoin to restore its operations, one of the largest data ransom payouts in history.

In December 2020, SolarWinds was attacked and its network management software was compromised. This attack affected more than 18,000 organizations, including government agencies and large corporations, showing just how widespread the consequences of a successful cyberattack can be.

Technology Challenges: Increase of using AI in Business and Cybersecurity

Complexity and adaptability of AI attacks

As the use of AI in business processes increases, so do cybersecurity challenges. Originally developed to improve and automate tasks AI is also becoming a powerful tool in the hands of attackers. Modern machine learning algorithms allow cybercriminals to develop more sophisticated and adaptive attacks that can bypass traditional defense systems.

Examples of AI being used by hackers

Automate phishing attacks: AI and machine learning techniques can be used to create phishing messages that are more convincing and personalized. For example, using big data analytics, attackers can automate the creation of fake messages that imitate the communication style of a specific person or organization. This makes such attacks more difficult for end users to recognize.

Bypassing Threat Detection Systems: Traditional cybersecurity systems often rely on signatures of known threats to detect and prevent them. However, AI algorithms can learn the behavior of these systems and adapt, creating new, previously unrecognized signatures. This allows attackers to bypass threat detection systems and penetrate organizational networks with minimal risk of detection.

Data-driven attacks: AI can be used to analyze large volumes of data to find weaknesses in the security infrastructure. Such attacks involve using data mining and machine learning techniques to find vulnerabilities that can be exploited. For example, algorithms can analyze network traffic patterns to find unprotected ports or devices with outdated software.

NetSystems SecCorp Expert Opinion

With the increasing use of AI in cybercrime, businesses are faced with the need to rethink their security strategies. The move to more intelligent security systems that also use AI to detect and prevent threats is becoming not just desirable, but necessary.

Integrating AI into security systems: Companies must invest in the development and implementation of AI solutions for cybersecurity. Such systems can analyze network traffic in real time, detect anomalies, and automatically respond to suspicious activity. For example, machine learning algorithms can be used to predict potential attacks based on analysis of previous incidents and current threats.

Continuously update and adapt security systems: Cyber threats are constantly evolving, so security systems must be flexible and adaptable. Using AI allows you to not only detect new types of threats, but also adapt to them by updating detection models based on new data and threat patterns.

Staff training and awareness: Even the most advanced security systems cannot fully protect an organization without the participation of people. Training employees to recognize advanced threats, such as phishing attacks, and how to properly respond to them is a critical element of an overall security strategy.

The future of cybersecurity with AI

In future we can expect an increase in the number of attacks using AI, which will require businesses to pay even more attention to cybersecurity. Netsystems SecCorp recommends business owners to invest in the development and implementation of more complicated and intelligent security systems that can not only respond to known threats, but also predict and prevent new ones.

Netsystems SecCorp recommends a comprehensive approach that includes the use of AI, ongoing employee training, and adapting security strategies to changing conditions to effectively protect the business. This is the only way to ensure sustainable business development in the face of constantly evolving cyber threats.