The adoption of artificial intelligence (AI) has unleashed apocalyptic dual-edged sword throughout the cybersecurity community, at once enabling cybercriminals to commit more and more sophisticated attacks at an unprecedented pace and scale and providing defenders with radical weaponry to alert and neutralize threats at a faster pace than ever before, leading an ever-growing digital arms race in which the very technology used by the attacker to create convincing Deepfakes and evade detection.
AI development fosters the occurrence of a revolutionary threat
The analysis given by McKinsey during the 2025 RSA Conference in San Francisco shows that artificial intelligence is not only transforming cybersecurity but also redefining it, as the company analyzes it. AI is increasing the velocity of cyberattacks as breakout times take only an hour in many cases.
With hackers able to utilize AI tools, such as fake websites, convincing phishing emails, or even deepfake videos, and even the injection of malicious prompts or code, cybercriminals will be able to create purposeful, realistic messages and techniques to outsmart standard security controls. ย With AI, attackers can be more efficient and improve their tactics by the minute, with the machine learning algorithms scanning the defenses of an organization and changing attack patterns to attack the weak areas.
Deepfakes turn phishing into the exact-hit weapons
Deepfakes and more complex techniques enabled by AI systems have enabled phishing to seem more authentic and intimate, and harder to notice as phishing, too, according to the Akamai cybersecurity report. In early 2024, an employee in Hong Kong participated in a video call with scammers who employed deepfake impersonations of his colleagues to persuade him to send US$25 million of company funds to the scammers.
Cybercriminals can apply different AI learning models, such as behavioral analysis, voice cloning, and natural language processing models, to produce hyperreal AI-generated cyber impressions. Through these technologies, attackers are in a position to convincingly replicate the look, voice, or even style of writing and speaking of friends and colleagues, making it easier to exploit their victims in order to be successful.
As AI is a great weapon of attackers, it is equally a changer of the landscape in defense against cybersecurity. To neutralize the advanced attackers, organizations are turning to AI in order to reduce their mean time to detect, respond, and recover, and to stay ahead. Defensive AI solutions can review large volumes of data in real-time, offer context between silos, detect anomalies, and possible breaches before scaling.
Predictive intelligence aids in the prevention of attacks in the future
Cybersecurity tools relying on AI and machine learning algorithms have capabilities to analyze large amounts of data in real time, learn patterns, and discover anomalies that might be the result of a potential threat. The tempo of this analysis allows cybersecurity experts to detect security incidents more efficiently and more precisely.
Machine learning AI models use large datasets. By analyzing the data obtained through past incident reports, security logs, network traffic trends, etc., the cybersecurity teams will be in a position to start establishing trends and patterns, and by refining the information gained, they will be able to predict the threats that will happen in the future and upon occurrence.
The implementation of AI in cybersecurity is the largest digital threat and the most effective defense mechanism of humanity. With cybercriminals using AI to ampify their sophistication in attacks, organizations cannot afford to be left behind regarding the implementation of AI as a protective feature, and in this case, it has become a race of technology where the other survives based on how they continually innovate and adapt to the changes posed by the emerging threats.