Artificial intelligence is widely available, easy to access, and increasingly powerful. While many organizations use AI to strengthen cybersecurity, cybercriminals also rely on the same technology to accelerate, scale, and enhance the effectiveness of their attacks.
AI allows attackers to automate tasks that once required time and technical skill, making cybercrime more efficient and harder to detect. Understanding how AI is used by cybercriminals helps organizations better evaluate risk and strengthen their security posture.
How Cybercriminals Use Artificial Intelligence
AI plays a role in several stages of a cyberattack, starting with reconnaissance. Attackers use automated tools to gather information about businesses, employees, and systems. This information can be used to identify potential vulnerabilities or craft targeted attacks that appear legitimate.
Phishing and social engineering attacks are among the most common uses of AI in cybercrime. Instead of sending generic messages, attackers can generate emails, texts, or voice messages that sound natural and convincing. These messages may reference specific roles, services, or relationships, increasing the likelihood that a recipient will trust the communication and respond.
Because AI can generate large volumes of content quickly, attackers can launch campaigns at scale while maintaining a level of personalization that was difficult to achieve in the past.
AI and Automated Cyberattacks
Artificial intelligence also supports automation beyond social engineering. Attackers use AI-driven tools to scan networks for weaknesses, test credentials, and probe systems for misconfigurations. These processes can run continuously, enabling attackers to identify opportunities more quickly than manual methods.
Malware development has also become more accessible. AI can assist in writing or modifying malicious code, reducing the technical expertise required to create effective threats. Some attacks adapt based on how a system responds, helping malware evade traditional security controls.
These capabilities increase both the speed and persistence of attacks, placing additional pressure on organizations that rely solely on static or signature-based defenses.
Deepfakes and Digital Impersonation
AI-generated audio, video, and images are increasingly used to impersonate real people. These deepfake techniques can be used in scams that aim to trick employees into transferring funds, sharing credentials, or granting access to systems.
Impersonation attacks are especially dangerous because they exploit trust. When messages appear to come from a known executive, vendor, or coworker, recipients may be less likely to question the request. This makes verification processes and internal controls critical components of cybersecurity defense.
Lower Barriers, Higher Risk
One of the most significant impacts of AI on cybercrime is the reduction of technical barriers. Individuals with limited experience can now use AI tools to generate phishing messages, automate attacks, or simulate legitimate communications.
As a result, organizations face a higher volume of threats from a wider range of attackers. This increase in activity makes it more difficult to rely solely on manual review or basic filtering.
What This Means for Businesses
AI-assisted cybercrime rarely occurs in isolation. A convincing phishing message may lead to the theft of credentials, unauthorized access, or the deployment of ransomware. These attacks often unfold in stages, making early detection essential.
Businesses must assume that attackers are using automation and AI as part of their approach. Effective cybersecurity strategies focus on detecting unusual behavior, limiting access, and responding quickly when something doesn’t look right.
Security awareness training, strong authentication methods, and continuous monitoring all help reduce the impact of AI-driven threats.
Strengthening Defenses Against AI-Driven Attacks
Protecting against AI-assisted cybercrime requires a layered approach:
- Monitor user and system behavior for anomalies
- Use multi-factor authentication to reduce credential risk
- Train employees to recognize and report suspicious activity
- Maintain visibility across networks, endpoints, and cloud services
- Partner with experienced security providers for ongoing management and response
By combining technology with informed oversight, organizations can reduce risk and improve resilience against increasingly automated cyber threats.
Understanding how cybercriminals use artificial intelligence is an important step in protecting your business. If you’d like help reviewing your security approach, give XFER a call at 734-927-6666 / 800-GET-XFER