When it comes to cyber security, we must take into account good, evil and ugly artificial intelligence. Although there are advantages how AI can strengthen defense, cybercriminals also use technology to improve their attacks, creating emerging risk and consequences for the organization.
Okay: The role of AI in increased safety
AI is a powerful opportunity for the organization to increase the detection of a threat. One emerging opportunity involves training machine learning algorithms to identify and flag down threats or suspicious anomalies. The combination of AI safety tools with cyber security specialists shortens the response time and limits rainfall from cyber attacks.
The most important example is automated red bands, a form of ethical hacking, which simulates real large -scale attacks, thanks to which brands can identify the loans in security. In addition to the red team, there are blue bands that simulate defense against attacks and purple teams that confirm the safety of both observation points. These powered AI approaches are of key importance, taking into account the susceptibility of large language models of the company's language to security violations.
Earlier, cyber security teams were limited to available data sets for training their predictive algorithms. However, in the case of Genai, organizations can create high -quality synthetic data sets for training their system and strengthen the forecasting of susceptibility to threats, improvement of system security and hardening.
AI tools can be used to alleviate the increased threat caused by social engineering attacks powered by artificial intelligence. For example, AI tools can be used in real time to monitor incoming communication from external and identifying social engineering cases. After detecting, you can send a warning to both the employee and their supervisor to ensure stopping a threat to each compromise or a confidential information leakage.
However, defense against ai -driven threats is only part of it. Machine learning is an important tool for detecting confidential threats and endangered accounts. According to IBM Data violation cost 2024This failure and human error constituted 45% of data violations. AI can be used to learn the “normal” organization of the organization by assessing system diaries, e -mail activities, data transfers and physical access diaries. AI tools can then detect events that are abnormal compared to this base line to help identify the presence of a threat. Examples of this include: detecting suspicious diaries, determining unusual demands for access to documents and to get into physical spaces that are not usually available.
Bad: Evolution of security threats powered by AI
At the same time, because organizations benefit from AI proficiency, cybercriminals use artificial intelligence to start sophisticated attacks. These attacks have a wide range, expert detecting and capable of maximizing damage at unprecedented speed and precision.
. Report of the World Forum Economic Forum 2025 It was found that 66% of the organization in 57 countries expected that AI will significantly affect cyber security this year, while almost half (47%) of respondents identified Gen AI attacks as their main concern.
They have reason to worry. All over the world, $12.5 billion lost their cybercrime In 2023 – a 22% increase in losses in the previous year, which is to be continued in the coming years.
Although every threat cannot be foreseen, learning to recognize and prepare for AI attacks is a key importance for solving a powerful fight.
Deepfake phishing
Deep cabinets become a greater threat because Genai tools become more common. According to 2024 survey conducted by DeloitteAbout a quarter of companies experienced an incident with a deep incident focused on financial and accounting data in 2024, and 50% expects the risk to increase in 2025.
This growth of deep phishing emphasizes the need to go from a secret trust in constant validation and verification. It is about implementing a more solid cyber security system, as well as the development of corporate culture awareness of risk and risk assessment.
Automated cyber attacks
Automation and AI also turn out to be a powerful combination of cyber criminals. They can use artificial intelligence to create their own learning malware, which constantly adapts the tactics in real time to better avoid the defense of the organization. According to cybersecurity Sonicwall cybernetic report 2025AI automation tools facilitate the cyber criminals of the debutants of complex attacks.
Ugly: high cost of cybernetic attacks and crime
In a famous incident last year an employee of an international engineering company, ARUP, $ 25 million was transferred After instructing during a video conversation with dedicated cabinets generated AI impersonating their colleagues and CTO.
But losses are not only financial. According to the Deloitte report, about 25% of business leaders consider the loss of trust among interested parties (including employees, investors and suppliers) as the greatest organizational risk resulting from AI technology. And 22% are worried about threatened reserved data, including infiltration of trade secrets.
Another problem is the potential for disturbing critical infrastructure, being a serious risk for public security and national security. Cybercriminals are increasingly focused on power networks, healthcare systems and crisis response networks, using artificial intelligence to increase the scale and sophistication of their attacks. These threats can lead to widespread darkens, violations of patient care or paralyzed emergency services, with potentially threatening consequences.
While organizations commit to AI ethics, such as data responsibility and privacy, honesty, reliability and transparency, cybercriminals are not associated with the same principles. This ethical division strengthens the challenge of defense against AI driven threats, because malicious entities choose AI's abilities regardless of social implications or long -term consequences.
Building cybercrime: combining human knowledge with AI innovation
As cyber criminals become more sophisticated, organizations need expert support to reduce the gap between the defense they have, and quickly emerging and evolving threats. One of the ways of achieving is a work with a trusted, experienced partner who has the ability to combine human intervention with powerful technologies in the field of the most comprehensive security measures.
Between tactics organized by AI and advanced social engineering, such as deep cabinets and automated malware, companies and their cybernetic safety teams, they were entrusted to protection against a permanent and increasingly sophisticated challenge. But by better understanding of threats, including artificial intelligence and human knowledge to detect, alleviate and deal with cyber attacks, and find trusted partners for cooperation, organizations can help tilt the scales in their favor.
