
The rise of AI Phishing Attacks
If you haven’t experienced an AI Phishing attack yet, it’s hard to appreciate just how pervasive, convincing, and unrelenting it can be. Once bad actors snare a target, they rinse and repeat, sometimes spinning up hundreds of fake sites and social media pages to replicate the same scam at scale. That kind of volume can quickly become overwhelming, even for well-resourced brands.
Not long ago, brand impersonation was relatively easy to spot: a suspicious email, a slightly wrong URL, bad grammar, or a logo that didn’t look quite right. AI Phishing changes that. The cues and conventions that tell people “this is really us” have been hijacked. Attackers can now clone brand presence across websites, social pages, ads, and “support” chat flows and in some cases mimic real people with voice notes or video calls that look and sound authentic.
In this guide, we’ll cover what’s changed and what brands can do to fight back, with practical controls that reduce exposure and help you respond fast when deception appears.
Why AI Phishing has changed scam prevention
AI makes phishing and impersonation cheaper, faster, and harder to spot.
First, it helps attackers produce believable content (voice, video, images, and text) with minimal effort. Second, it lets them scale across the channels customers already use, social media, messaging apps, email, and phone. Third, it exploits a habit that hasn’t caught up: many people still treat familiar voices, faces, and brand cues as proof./p>
In 2025, ScamWatch reported $335Million in reported losses, with the top contact methods being:
- 84,461 email scams ($57.8M in losses)
- 43,220 online scams ($158.5M in losses)
- 37,997 phone scams ($72.5M in losses)
Comparatively, in the US, the FTC has also stated impersonation scams drove nearly $3 billion in reported losses.
A widely reported incident in Hong Kong in 2024 shows just how believable impersonation can get. An employee was deepfaked and reportedly persuaded to transfer HK$200 million (about US$25 million) after joining what appeared to be a legitimate video conference with colleagues and senior leaders.
What this case shoes is that AI Phishing and impersonation attacks don’t “hack” systems. They hack decisions, by creating a situation that feels normal (a leadership call, a message from “support,” an urgent request) and rely on someone trusting what they see and hear.
AI Phishing and impersonation attacks don’t “hack” systems. They hack decisions
Practical protections brands can put in place
1) Reduce exposure quickly (monitoring + takedown)
This is how you shrink the blast radius. The faster you detect and remove impersonation assets, the less reach the scam has, and the fewer customers are exposed.
An audit will expose the full breadth of the problem, in terms of volume, types of impersonation and attacks channels (phishing domains, social media, apps etc).
Immediate actions include:
- Stand up a monitoring + takedown program covering fake sites, scam ads, impersonation social media accounts, and look-alike domains.
- Centralise reporting so Marketing, Security, and Legal aren’t working in separate queues.
- Use a dedicated platform such as unphish to increase visibility and speed up enforcement workflows and tracking.
2) Make high-risk requests harder to act on
Most serious damage happens at predictable decision points: payments, vendor bank detail changes, password resets, access grants, customer refunds rerouted to new accounts, or sensitive data shared under pressure. Harden these workflows, and you cut off the attacker’s main path to exploit. While this might seem obvious, actions include:
- Require out-of-band verification for high-risk requests (call back using a number from your directory, not one provided in the message).
- Use two-person approval and separation of duties for payments and changes to financial details.
- Create a “no urgency exceptions” rule: urgent requests trigger more verification, not less.
- Add challenge/response for executive requests (a short internal procedure or phrase that isn’t public).
3) Lock down the channels your brand uses to speak
A lot of AI Phishing still depends on classic spoofing, just with more improved content. If attackers can easily send emails that look like you, or spin up domains and accounts that mimic you, customers end up unsure what’s real. To reduce your attack surface:
- Enforce DMARC (quarantine/reject), aligned with SPF and DKIM, across all sending domains.
- Monitor for look-alike domains and typo-squats (aka domain name monitoring), and keep an escalation path ready for removal.
- Monitor for fake executive social media profiles on social media.
- Protect high-trust accounts (executives, finance, support) with phishing-resistant MFA.
4) Use “deepfake-aware” checks
Detection technology is improving, but it’s not foolproof, especially as attackers adapt. The best use of detection is as a risk signal that triggers step-up checks, not as a final verdict. To limit your exposure to deepfakes:
- Add liveness/anomaly checks to account recovery, onboarding, and high-risk support actions (refund reroutes, new payee details, password resets).
- Use step-up verification when risk is high (additional factors, trusted device checks, known-customer signals).
- Educate (and remind) your team on deepfake risks.
5) Prepare a response playbook
When AI Phishing hits, speed matters. If response is slow or inconsistent, scammers get more runway and the customer experience turns into confusion and doubt. Salient actions:
- Build an impersonation incident playbook: triage → containment → takedown → customer comms → evidence capture.
- Pre-write short templates: “What happened,” “What we will never ask for,” “How to verify communications,” and “Where to report scams.
Stay Alert!
AI phishing is pervasive, convincing, and relentless, and once attackers find a working angle, they scale it fast by cloning hundreds of fake sites and social pages, overwhelming even well-resourced brands. Today, trust signals and decision-making are being targeted with precision, which means we need to recognise the risk, prepare for it, and use the right tools and processes to prevent and contain attacks. Protect your business, your team, and yourself by putting these accessible controls in place, and stay sharp out there.
About brandsec
brandsec is a team of highly experienced domain name management and online brand protection experts. We provide corporate domain name management and brand enforcement services, helping brands eliminate phishing platforms across the internet. Supporting some of the largest brands in the region, we offer innovative solutions to combat threats across multiple industries.
Edward Seaford
Product & Enforcement Director
Ed brings over two decades of experience in domain management, brand protection, and phishing defence. At Brandsec and Unphish, he drives the technology and partnerships while leading with a people-first approach.


