When it comes to cybersecurity, we need to look at good, bad and ugly from artificial intelligence. While there are benefits for how to enhance artificial intelligence, Internet criminals also use technology to enhance their attacks, creating risks and results emerging for institutions.
Al -Saleh: The role of artificial intelligence in enhancing security
Artificial intelligence represents a strong opportunity for organizations to enhance the discovery of the threat. One of the emerging opportunities includes training algorithms to identify and suspicious threats or suspicious cases. Poor artificial intelligence safety tools with cybersecurity professionals reduce response time and limit the repercussions of electronic attacks.
An example of this is the Automated Red Teaming team, a form of moral piracy that simulates the real world attacks, so that brands can determine weaknesses. Besides the Red Teaming team, there is a Blue Teaming team, which mimics defense against attacks and purple cooperation, which is valid in both points. These intelligence -powered methods are extremely important given that the large language language models are exposed to security violations.
Previously, cybersecurity teams were limited to data collections available to train their predictive algorithms. But with GENAI, institutions can create high -quality artificial data sets to train their system and enhance prediction prediction, simplify safety management and system hardening.
Artificial intelligence tools can be used to alleviate the increasing threat of acting social engineering attacks. For example, artificial intelligence tools can be used in actual time to monitor communications from external extremities and determine social engineering counterparts. Once it is discovered, an alert can be sent to both the employee and their supervisor to help ensure that this threat stops before any compromise or an information sensitive leakage.
However, defending the threats that operate with the same Amnesty International is only part of it. Automated learning is a vital tool for detecting internal threats and atrocities. According to IBM Data breach report 2024Information technology and human error failed 45 % of data violations. Artificial intelligence can be used to know the “regular” operating status of your organization by assessing your system records, e -mail activity, data transfer, and physical access records. Artificial intelligence tools can then discover abnormal events compared to this basis to help determine the existence of a threat. Examples include: discovering suspicious records, requests for access to unusual documents, and the reactivation of usually unpaid material spaces.
Bad: AI’s security threats
At the same time, since organizations make the benefits of artificial intelligence, Internet criminals invest Amnesty International to launch advanced attacks. These widespread attacks in their scope, skill in evading detection, are able to maximize damage with unprecedented speed and accuracy.
the Global Cyber Security Expectations report for the year 2025 global I found that 66 % of organizations out of 57 countries expect artificial intelligence greatly affecting cybersecurity this year, while approximately half (47 %) of the respondents are determined by the attacks operating in Amnesty International as their main attention.
They have anxiety. Global, $12.5 billion electronic crimes have been lost In 2023 – an increase of 22 % in losses during the previous year, which is expected to continue to rise in the coming years.
Although it is impossible to predict with every threat, learning proactively to recognize the attacks of artificial intelligence and prepare for it is very important to put a huge battle.
Deepfake Hunting
Deepfakes have become a greater threat as Genai’s tools become more common. According to 2024 Survey by DeloitteAbout a quarter of companies witnessed the Deepfake incident that targets financial and accounting statements in 2024, and 50 % expected to increase risk in 2025.
This height is highlighted in deep hunting, the need to move from implicit confidence to continuous verification and verification. It is related to the implementation of the most powerful cybersecurity system as much as it is related to the development of the culture of companies represented in awareness of threat and risk assessment.
Mechanical electronic attacks
Automation and AI also prove a strong mixture of the e -criminal. They can use artificial intelligence to create harmful self -learning programs that constantly adapt their tactics in the actual time to better evade the Foundation’s defenses. According to the Cyber Security Company Sonicwal threat report for 2025Artificial Intelligence A automation tools make it easy for electronic rising criminals to carry out complex attacks.
Ugly: The high cost of electronic attacks on behalf
In a high -level incident last year, an employee of the multinational engineering company, ARUP, Transfer 25 million dollars After instructing instructions during a video call with Deepfakes, which was created from artificial intelligence, impersonating his colleagues and CTO.
But the losses are not only financial. According to the DELOTTE report, about 25 % of business leaders are a loss of confidence between stakeholders (including employees, investors and sellers) as the largest regulatory risk caused by artificial intelligence -based techniques. And 22 % worry about the royal data at risk, including the infiltration of commercial secrets.
Another source of concern is the possibility of disrupting the artificial intelligence of critical infrastructure, which is severe risks to public safety and national security. Internet criminals are increasingly targeting energy networks, health care systems and emergency response networks, and benefit from artificial intelligence to enhance their attacks and development. These threats can lead to a large -scale power outage, patient care, or paralyzed emergency services, with severe life -threatening consequences.
While organizations adhere to the ethics of artificial intelligence such as responsibility for data, privacy, fairness, durability and transparency, Internet criminals do not adhere to the same rules. This ethical gap is inflating the challenge of defending the threats operating in Amnesty International, where malignant actors take advantage of the capabilities of artificial intelligence without looking at societal effects or long -term consequences.
Building internet elasticity: combining human experience with innovation of artificial intelligence
When Internet criminals become more sophisticated, organizations need experts to support the gap between the defenses they enjoy and the emerging and advanced threats quickly. One way to accomplish what works with a reliable partner with experience has the ability to integrate human intervention with strong technologies for the most comprehensive security measures.
Among the improved tactics of artificial intelligence and advanced social engineering, such as Deepfakes and automatic harmful programs, companies and cyberspace teams face to protect them in an increasingly continuous and developed challenge. But by better understanding threats, embracing artificial intelligence and human experience to discover electronic attacks, mitigation and processing, and finding reliable partners to work alongside organizations, organizations can help direct standards in their favor.
