AI Is Changing Cyberattacks on Hotels: Here's How to Stay Protected

Peak season brings challenges to the hospitality industry every year. Thousands of guests, temporary staff, vendors, and business partners interact daily with reservation systems, management platforms, mobile apps, and loyalty programs. That operational complexity makes hotels a particularly attractive target for cybercriminals. 

Artificial intelligence hasn't created a new problem for hotels,  it is simply accelerating an existing one: identity-based attacks. Threat actors are still relying on phishing, credential theft, and social engineering, but they can now automate these techniques at an unprecedented speed and scale. 

They no longer need to spend hours writing convincing emails, researching victims, or manually testing stolen credentials. AI allows attackers to personalize campaigns in seconds, analyze massive volumes of public data, adapt their attacks in real time, and even automate large portions of the attack lifecycle. 

For the hospitality sector, relying on full-time and seasonal staff, third-party vendors, and multiple interconnected platforms, this shift has a clear consequence: identity has become threat actors' most valuable target and the first line of defense for organizations. 

That’s why the real challenge isn't simply incorporating new cybersecurity tools. Instead, it means recognizing that the next generation of attacks will be faster, automated, and adaptive, and that defenders must leverage equally advanced technologies to protect identities, detect anomalous behavior, and reduce response times. 

Identity Is the New Security Perimeter 

Digital transformation has multiplied the systems employees and partners access: Property Management System (PMS) platforms, management tools, guest apps, payment systems, loyalty programs, wireless hospitality captive portals, and cloud solutions. 

Hotels operate in a complex environment with full-time staff, seasonal workers, cleaning contractors, catering teams, maintenance crews, and IT providers all needing access to different systems for very specific timeframes. Managing who accesses what, when, and from which device has become a business challenge as well as a cybersecurity issue. 

Consequently, it is far more profitable for an attacker to steal valid credentials than to exploit a technical vulnerability. Once they gain access using a legitimate identity, they can move laterally across the network, exploiting the same trusted mechanisms that employees and guests use every day. We have seen recent examples of this from state-sponsored threat actors targeting Wi-Fi hospitality gateways to harvest victim credentials. 

AI doesn't change this reality, it simply makes finding, testing, and reusing stolen credentials much faster and more efficient. 

The Problem Doesn't Start with Artificial Intelligence 

It’s easy to assume that AI represents a new threat, but that isn't the case. 

Automation only works when it finds bad habits to exploit, and those habits remain surprisingly common. 

Our latest Cybersecurity Hygiene Report reveals a concerning reality: 

• 76% of employees admit to reusing passwords across multiple accounts. 
• 64% use unauthorized AI tools to do their work. 
• 71% report receiving phishing training only once a year—or never. 

These figures demonstrate that the primary challenge isn't technical; it's human. For an AI attacker, every reused password, untrained employee, or unauthorized tool represents an opportunity that can be leveraged automatically and at scale. 

AI Must Also Work in Favor of Defenders 

Over the past few months, there has been a lot of talk about how cybercriminals are incorporating artificial intelligence into their operations. 

However, the conversation shouldn't just focus on how threat actors use AI, but also on how defenders can leverage it. 

Organizations can already rely on advanced models to accelerate tasks such as: 

• Threat hunting 
• Validating security controls 
• Identifying vulnerabilities 
• Incident analysis 
• Automating security testing 

The competitive advantage won't come from simply using AI, but from integrating it faster and more effectively into cybersecurity operations. 

Trust Can No Longer Depend on a Password Alone 

In an environment where identity has become the primary target, relying solely on credentials is no longer enough. 

Multi-factor authentication (MFA) drastically reduces the value of compromised credentials by requiring a second factor before granting access. 

However, authentication is only part of the solution. A Zero Trust approach starts with a much more realistic premise: no identity should be considered trustworthy simply because it logged in. Every access request must be evaluated considering the user's context, device, location, and behavior. 

This approach is especially relevant for the hospitality industry, where mobility, staff turnover, and third-party collaboration are part of daily operations. 

The Next Cybersecurity Race Has Already Begun 

Artificial intelligence isn't going to replace cybersecurity professionals. Nor will it eliminate the need for strong identity policies and training programs. What it will do is accelerate the speed at which both attacks and defenses evolve. 

Threat actors will continue to use phishing, credential theft, and social engineering because they still work. The difference now is that they can execute them faster, make them more personalized, and scale them massively. 

For hotels, the priority shouldn't be preparing for entirely new threats,but reinforcing the controls that protect what attackers target most: digital identity. 

Organizations that combine robust authentication, Zero Trust principles, and AI capabilities to strengthen their security operations will be far better prepared to respond to threats that are no longer just evolving but continuously learning and adapting.