The AI Tools Attackers Are Using

As Dereck discussed, generative AI models can now mirror your language and industry jargon, which phishing attackers before had a difficult time emulating. These models also translate instantly, clean up grammar and vary phrasing to avoid being caught by system filters. AI voice models have also entered the cyber world which synthesizes natural speech from short samples while matching the speech to image and video models that generate logos, IDs, screenshots and deepfake clips. All of these tactics add a layer of false credibility and support AI powered phishing across email, Short Message Service (SMS), chat, voice and video.

Additionally, as more people use and experiment with AI capabilities, our team has witnessed noticeable increases in automation which accelerates execution. Bots have the ability to collect public profiles, news mentions and company updates to build targeted lists. Orchestration tools then sequence messages across email, text, collaboration platforms and social media, while using AI to optimize scheduling systems to deliver the phishing message during business hours, payroll cycles, quarter close or travel windows. This gives scammers the ability to specifically target moments when people are moving quickly and are more likely to comply with the scam that is being executed.

We’ve also noticed that data enrichment makes personalization routine. AI can infer job function from titles, pull project details from press releases and capture time zones and holidays. Often, messages will reference actual initiatives, mention known colleagues and use internal sign-offs.

AI phishing attacks often rely on several core tools: large language models that draft, translate and match tone; voice synthesis for vishing; image generators for fake IDs and screenshots; automated reconnaissance for open-source intelligence; and link-shortening or domain-generation tools that disguise malicious URLs. Having awareness of these AI generated scams helps organizations and individuals recognize the convincing phishing attempts before they become a problem while also reinforcing the need to stay cautious and alert with continued education as the cyber threat landscape is constantly changing.

How AI Phishing Differs from Traditional Phishing

The biggest difference between traditional phishing and AI-powered phishing is context.

Traditional phishing campaigns often relied on generic messages sent to large groups of people. Success depended largely on volume, with attackers hoping a small percentage of recipients would respond.

AI-powered phishing attacks take a different approach. By incorporating publicly available information and generating personalized content, attackers can create messages that appear more credible and relevant to the recipient. Messages may reference recent company initiatives, current events, internal terminology or known business relationships.

AI also allows attackers to continuously refine their tactics. Messages can be rewritten in seconds, adapted for different audiences, and delivered through email, text messaging, collaboration platforms, social media, voice calls or video. This flexibility makes it more challenging for traditional security controls to identify and block malicious communications before they reach users.

Why AI-Powered Phishing Matters to Your Business

As AI technology becomes more accessible, the barrier to entry for cybercriminals continues to decrease. Organizations of all sizes may find themselves targeted by phishing campaigns that look remarkably professional and highly convincing.

While technology remains a critical part of cybersecurity, awareness and education are equally important. Employees who understand how modern phishing attacks are evolving are better equipped to recognize suspicious requests and follow verification procedures before taking action.

The reality is that phishing is no longer just an email problem. AI has expanded the threat landscape to include text messages, voice calls, videos, collaboration platforms and other communication channels businesses use every day. Understanding these changes is the first step toward building stronger defenses.

Looking Ahead

AI is reshaping the phishing landscape by making attacks more scalable, personalized and difficult to detect. Organizations that recognize these changes and adapt their security strategies accordingly will be better positioned to reduce risk and respond effectively when threats emerge.

Wondering what these attacks actually look like in practice? Explore the most common AI-powered phishing techniques being used against businesses today.

Learn more about The Most Dangerous Types of AI-Powered Phishing Attacks.