Anti-Phishing Strategies: A Deep Dive into Protecting Your Business from Cyber Attacks

Explore the current state of phishing attacks and learn how organizations can prepare themselves for a potential attacks. 

Last updated on Jun 25, 2025
Mirren McDade
Laura Iannini
Written by Mirren McDade Technical Review by Laura Iannini
Anti-Phishing Technologies

TL;DR: Phishing Attacks

  • Definition: Phishing attacks involve cybercriminals impersonating trusted entities via email, SMS, or malicious websites to steal sensitive information (e.g., credentials, financial details) by exploiting human behavior.
  • Market: Global data breach costs reached $4.88M in 2024, up 10% from 2023, with phishing amplified by GenAI enabling high-volume, convincing attacks, challenging legacy defenses.

  • Benefits:

    • Enhanced data security by preventing credential theft and data breaches.

    • Maintained business continuity by reducing disruptions from attacks.

    • Improved regulatory compliance (e.g., GDPR, HIPAA) through robust defenses.

    • Preserved brand trust by demonstrating strong cybersecurity measures.

  • Challenges:

    • GenAI-driven phishing increases attack volume and sophistication, bypassing traditional defenses.

    • User vulnerability to convincing AI-generated messages, especially across multiple channels.

    • Phishing simulations risk eroding employee trust if overly deceptive; requires careful design.

  • Key Features: AI-powered phishing detection, zero-trust identity verification, layered defense strategies, security awareness training, phishing simulations, real-time monitoring, and integration with email security tools.

  • Future Trends: Greater reliance on AI-driven detection, advanced zero-trust frameworks, enhanced user training with positive reinforcement, and integration with broader cybersecurity ecosystems to counter evolving GenAI phishing tactics.

A phishing attack is a form of cyberattack where attackers impersonate legitimate entities, including banks, trusted companies, or coworkers, to trick individuals into handing over sensitive information like usernames, passwords, or financial details. These attacks are typically deployed via email, text messages, or malicious websites, and often include urgent or deceptive messages designed to prompt the recipient to click on a link, download an attachment, or provide confidential data. 

Strategies to preventing phishing attacks usually involve a combination or technical measures, changes to user behaviours, and user education to prevent or mitigate the risk of attacks managing to succeed. Phishing is one of the most common and effective forms of social engineering because it exploits human behavior, rather than technical vulnerabilities, which is easier to do especially at large volumes. Successful phishing attacks can lead to data breaches, identity theft, financial loss, or unauthorized access to corporate systems.

Phishing In The Age Of GenAi 

As of 2024, the global average cost of a data breach is $4.88 million USD. This is the highest total recorded so far, showing a 10% increase from the previous year. This itself is the single biggest jump since the pandemic.

With GenAI, it has become easier than ever for attackers to craft increasingly sophisticated and targeted phishing attacks. This means that attackers are able to churn out many attacks at higher volumes than before, without a drop in quality. In short, GenAI means there can be a higher number of convincing phishing communications. Legacy approaches are struggling to keep up with this changing threat landscape. 

Recent studies have examined how accurately people are able to detect AI-generated text, based on a variety of factors. According to this report by Hookline, 82.1% of Americans can tell at least some of the time when text has been written by AI. According to Forbes, those who are experienced with using AI tools can reliably tell when text is AI-generated, even without specialized training. However, end users may not be expecting to see AI generated content within the context of a phishing message, making them vulnerable.  

Using the assistance of AI, threat actors can fine-tune these messages to include specific details about the target or impersonate the tone of a trusted figure. This doesn’t necessarily even need to be over email; GenAI phishing can also be deployed over other channels such as SMS and voice. 

GenAI also makes it possible for threat actors to produce massive volumes of these phishing messages significantly faster than a human could, casting a vast net to ensnare as many victims as possible. These messages are designed to appear more convincing than what an end users may be used to seeing in a phishing message, making them far more convincing. 

Legacy approaches to phishing training often send the same simple exercises to everyone, but this doesn’t accurately reflect how many phishing attempts work today.

What Can Organizations Do? 

With attackers constantly refining their tactics to bypass technical defenses and exploit human error, businesses must take proactive steps to defend against the persistent and damaging threat of phishing attacks.

Some are choosing to take a “fight fire with fire” approach and make use of AI-powered phishing detection tools to counteract AI-generated phishing. However, while this may help level the playing field a little bit, ultimately even the best security technology out there cannot counteract the human element to phishing. Human weaknesses is the variable that organizations should be putting most of their focus on.

Users should stay aware of classic phishing indicators such as:

  • A fabricated sense of urgency
  • Display names / domains being slightly off
  • Unusual requests for money, information, etc. 

Phishing simulations are a popular preventative measure due to their ability to provide clear, quantitative metrics that clearly demonstrate progress in training. However, there is some risk associated with conducting phishing test, including the possible erosion of employee trust if your tests appear overly tricky or underhanded. It has been shown that users do not respond well to security training being treated like a punishment or a “gotcha”, so organization should carefully consider their methodology and timing.

  • GoDaddy faced some backlash for a phishing campaign they launched which lured employees to follow a link to provide details of their location in order to accept a $650 one-time holiday bonus right before Christmas. The message was thought to be unfairly plausible as GoDaddy sent the email from a valid domain email address, included flawless graphics and logos, and used language and tone perfectly suited to corporate communication of this type. Of course, spear phishing campaigns do often reach this level of plausibility.

Fostering a positive security culture where IT and end users can collaborate is shown to result in a better outcome. Efforts to secure against phishing attacks work best when they are collaborative and don’t leave users feeling duped or short-changed. To maintain proper security hygiene organizations should invest in:

  • Layered defense strategy 
  • Zero-trust practices; have multiple ways to confirm a sender’s identity 

In Summary

In today’s threat landscape, phishing is still one of the most common and damaging attack vectors that organizations have to deal with. Implementing strong anti-phishing strategies can go a long way in reducing risk and improving overall cyber resilience.

As phishing tactics continue to evolve, a proactive, layered defense is essential. Organizations that prioritize awareness, enforce technical safeguards, and maintain a culture of security will be far better positioned to detect, prevent, and respond to phishing threats effectively.


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Written By Written By

Mirren McDade is a senior writer and journalist at Expert Insights, spending each day researching, writing, editing and publishing content, covering a variety of topics and solutions, and interviewing industry experts. She is an experienced copywriter with a background in a range of industries, including cloud business technologies, cloud security, information security and cyber security, and has conducted interviews with several industry experts. Mirren holds a First Class Honors degree in English from Edinburgh Napier University.

Technical Review Technical Review
Laura Iannini
Laura Iannini Cybersecurity Analyst

Laura Iannini is a Cybersecurity Analyst at Expert Insights. With deep cybersecurity knowledge and strong research skills, she leads Expert Insights’ product testing team, conducting thorough tests of product features and in-depth industry analysis to ensure that Expert Insights’ product reviews are definitive and insightful. Laura also carries out wider analysis of vendor landscapes and industry trends to inform Expert Insights’ enterprise cybersecurity buyers’ guides, covering topics such as security awareness training, cloud backup and recovery, email security, and network monitoring. Prior to working at Expert Insights, Laura worked as a Senior Information Security Engineer at Constant Edge, where she tested cybersecurity solutions, carried out product demos, and provided high-quality ongoing technical support. She holds a Bachelor’s degree in Cybersecurity from the University of West Florida.