AI: A Double-Edged Sword in the Fight Against Phishing
Just a few years ago, phishing emails were full of spelling mistakes and awkward sentences, making them easy to spot. But artificial intelligence (AI) has changed the game. Cybercriminals now use advanced technologies to craft intelligent, targeted, and highly convincing phishing messages.
According to a report by Cofense, phishing attacks have increased by 70% compared to last year. This surge is largely due to criminals leveraging AI to generate deceptive content, fake internal conversations, and bypass email filters with subtle text variations.
AI Empowering Cybercriminals
Cybercriminals use tools like FraudGPT, which are available on underground platforms. Unlike ethical AI tools like ChatGPT, these models have no restrictions and can generate malicious content designed for precise and personalized attacks.
By analyzing large datasets, attackers can understand the preferences, habits, and behaviors of potential victims—allowing them to tailor messages and increase the chances of deception.
Using AI to Combat Phishing
On the flip side, AI has become a powerful defensive tool against modern phishing threats. Unlike human analysts who face time and processing limitations, AI can detect suspicious behaviors in real time and issue alerts instantly.
Key Advantages of AI in Cybersecurity:
High-speed detection of abnormal patterns
Reduction of false positives to focus on real threats
Adaptability to new attack methods through continuous learning
Behavioral analysis of users to detect early signs of compromise
Doug Kersten, Chief Information Security Officer at Appfire, explains:
"Viewing AI as a human changes how cybersecurity leaders operate. It encourages teams to treat AI as a collaborative partner, not just a tool."
AI Technologies Against Phishing
Machine Learning (ML): Detects unusual user behavior such as logins from unfamiliar locations.
Natural Language Processing (NLP): Analyzes writing patterns in emails to flag urgent tones, suspicious requests, or overly formal language.
Deep Learning: Identifies manipulated audio, images, or videos—such as deepfakes—used for identity spoofing.
Challenges of AI-Driven Defense
Despite its advantages, using AI in cybersecurity comes with notable challenges:
False Positives: Legitimate emails may mistakenly be flagged as threats.
Privacy Concerns: AI systems often require access to emails, attachments, and behavioral data, raising concerns over data storage and usage.
Constant Model Updates: Models need to be updated regularly to remain effective against evolving phishing techniques.
Skills Gap: The rapid growth of AI means that few professionals are adequately trained to manage or evaluate these systems effectively.
The Future of AI and Phishing
AI will continue to evolve—both as a tool for cybercriminals and defenders. It remains unclear which side will ultimately gain the upper hand. However, AI alone is not a silver bullet. Without human oversight, it should not be solely responsible for critical decisions.
Vineet Chacko, CEO of Reaktr.ai, summarizes:
"AI is a powerful tool, but not a replacement for humans. The most successful cybersecurity professionals will be those who can collaborate with AI to enhance their own skills and knowledge."
Source: MedadPress
www.medadpress.ir