AI is Lowering the Barrier to Entry for Cyberattacks
Cybercrime used to require a relatively high level of technical knowledge. An attacker needed to understand networks, write or modify code, build convincing phishing campaigns, identify vulnerabilities, and figure out how to exploit them.
Artificial intelligence is changing that equation.
The same AI tools helping businesses write emails, analyze data, automate workflows, and improve productivity can also help cybercriminals work faster. Tasks that once required specialized knowledge can increasingly be assisted by AI, lowering the barrier to entry for less experienced attackers while making sophisticated cybercriminals more efficient.
For businesses, this does not necessarily mean attackers have discovered entirely new ways to break into networks. Instead, AI is making many existing attack methods faster, cheaper, more convincing, and easier to scale.
AI Is Making Cybercrime More Accessible
Think about what generative AI has done for everyday work.
Someone who is not a programmer can ask AI to help write code. Someone who is not a professional copywriter can create a polished email in seconds. Someone unfamiliar with a technical topic can receive step-by-step explanations almost instantly.
Those capabilities have legitimate uses, but they can also reduce some of the technical barriers that previously slowed cybercriminals down.
The Cybersecurity and Infrastructure Security Agency (CISA) has warned that malicious actors can use generative AI to reduce the cost and increase the scale of cyber incidents. CISA specifically identifies potential uses including phishing, social engineering, malware development, voice cloning, fake images, and other forms of impersonation. The agency notes that many of these tactics are not new, but generative AI can allow malicious actors to use them with greater speed and sophistication at a lower cost.
That distinction is important.
AI does not have to invent a revolutionary new cyberattack to create a cybersecurity problem. Making existing attacks 10 times easier to produce or dramatically easier to scale can be dangerous enough.
Phishing Emails Are Getting Harder to Spot
One of the clearest examples is phishing.
For years, employees were taught to watch for obvious warning signs such as poor grammar, strange wording, misspelled company names, or awkward formatting.
Those indicators are becoming less reliable.
An attacker can use generative AI to create a professional email in seconds. They can adjust the tone to sound like an executive, vendor, coworker, or customer. They can quickly rewrite the message to target different industries, departments, or job roles.
The result is phishing that can look much more like normal business communication.
ISC2 has highlighted this concept as “synthetic legitimacy,” where AI-generated messages, voices, identities, and behaviors can appear increasingly normal and trustworthy. AI can also help attackers overcome language and cultural barriers that previously made fraudulent communications easier to identify.
Imagine an employee receiving an email that appears to come from their CEO:
“Can you send me the updated vendor payment information before my 2:00 meeting?”
There may be no spelling mistakes. The tone might sound completely normal. The attacker could even incorporate publicly available information about the company or executive.
The employee is no longer deciding whether an obviously suspicious email is legitimate. They are trying to distinguish between two messages that may look nearly identical.
AI Can Make Social Engineering More Convincing
Email is only one part of the problem.
Generative AI can create realistic text, images, audio, and increasingly convincing video. That creates new opportunities for impersonation.
An attacker could potentially imitate an executive’s voice, create a fake voicemail, generate a realistic vendor message, or develop a convincing online identity.
For businesses, that means cybersecurity training needs to evolve.
Employees should not rely exclusively on whether something “looks real” or “sounds real.”
Organizations need verification processes.
If someone requests a wire transfer, password reset, sensitive document, banking change, or unusual account access, employees should have a separate method of confirming that request.
A 30-second phone call to a known number could prevent a costly incident.
AI Can Help Attackers Move Faster
The cybersecurity concern goes beyond social engineering.
AI can assist with technical tasks including writing scripts, analyzing code, researching vulnerabilities, automating repetitive processes, and troubleshooting errors.
That same efficiency is available to attackers.
A less experienced cybercriminal may not know exactly how a particular technology works, but AI can potentially help explain concepts and accelerate their learning process.
Meanwhile, experienced attackers can use automation to increase their productivity.
The result is an important shift in cybersecurity economics.
If launching an attack becomes cheaper and faster, attackers can attempt more attacks.
That matters especially for small and midsized businesses. A company does not need to be specifically targeted by a sophisticated hacking organization to become a victim. Automated attacks can search large numbers of organizations for weak passwords, exposed services, outdated software, compromised credentials, and other opportunities.
Your Employees Are Still a Major Line of Defense
As attacks become more convincing, cybersecurity awareness becomes even more important.
Training should focus on behaviors rather than simply teaching employees to identify spelling mistakes.
Employees should know to question:
- Unexpected password reset requests
- Changes to vendor payment information
- Requests to purchase gift cards
- Unexpected MFA prompts
- Requests for sensitive files
- Unusual messages from executives
- Login pages reached through unsolicited emails
- Requests that create artificial urgency
Businesses should also make it easy for employees to report suspicious messages without worrying about getting in trouble for asking.
Businesses Need Layers of Security
Employee training alone is not enough.
Organizations should assume that eventually someone will click the wrong link, reuse a compromised password, or respond to a convincing phishing email.
The goal should be preventing one mistake from becoming a major incident.
CISA recommends multifactor authentication because it makes it more difficult for attackers to access systems even when passwords have been compromised. CISA encourages organizations to move toward phishing-resistant MFA wherever possible.
Businesses should combine MFA with other fundamental cybersecurity controls, including endpoint protection, email security, DNS filtering, software patching, managed detection and response, secure backups, access controls, security awareness training, and continuous monitoring.
No single tool solves the problem.
The strength comes from layering protections together.
AI Raises the Stakes for Businesses Without Strong Cybersecurity
AI is not suddenly turning every person with a computer into an elite hacker.
But it is reducing friction.
It can help attackers write better messages, automate repetitive tasks, research targets, overcome language barriers, and operate at greater scale.
That means businesses cannot rely on attackers being unsophisticated.
The suspicious email full of spelling mistakes is not going away completely, but it is becoming a poor representation of what modern cyber threats can look like.
Organizations need to prepare for attacks that look legitimate.
At PivIT Strategy, we help businesses take a proactive approach to cybersecurity by putting multiple layers of protection around their people, devices, accounts, and data. As attackers gain access to better tools, businesses need to make sure their defenses are evolving too.
AI may be lowering the barrier to entry for cybercriminals.
The goal is to make sure your business is raising the barrier to getting in.
